Won't load... GPTQ....

#1
by vdruts - opened

I seem unable to load this model or your last mix (uncencored+storytelling+cot) model 30 with GPTQ Triton branch.

I get this insanely large error message for both >>

Traceback (most recent call last): File “/home/user/textgen/server.py”, line 69, in load_model_wrapper shared.model, shared.tokenizer = load_model(shared.model_name) File “/home/user/textgen/modules/models.py”, line 94, in load_model output = load_func(model_name) File “/home/user/textgen/modules/models.py”, line 288, in GPTQ_loader model = modules.GPTQ_loader.load_quantized(model_name) File “/home/user/textgen/modules/GPTQ_loader.py”, line 177, in load_quantized model = load_quant(str(path_to_model), str(pt_path), shared.args.wbits, shared.args.groupsize, kernel_switch_threshold=threshold) File “/home/user/textgen/modules/GPTQ_loader.py”, line 84, in _load_quant model.load_state_dict(safe_load(checkpoint), strict=False) File “/home/user/miniconda3/envs/textgen/lib/python3.10/site-packages/torch/nn/modules/module.py”, line 2041, in load_state_dict raise RuntimeError(‘Error(s) in loading state_dict for {}:\n\t{}’.format( RuntimeError: Error(s) in loading state_dict for LlamaForCausalLM: size mismatch for model.layers.0.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.0.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.0.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.0.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.0.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.0.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.0.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.0.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.0.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.0.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.0.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.0.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.0.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.0.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.1.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.1.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.1.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.1.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.1.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.1.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.1.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.1.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.1.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.1.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.1.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.1.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.1.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.1.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.2.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.2.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.2.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.2.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.2.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.2.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.2.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.2.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.2.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.2.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.2.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.2.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.2.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.2.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.3.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.3.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.3.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.3.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.3.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.3.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.3.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.3.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.3.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.3.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.3.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.3.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.3.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.3.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.4.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.4.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.4.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.4.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.4.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.4.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.4.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.4.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.4.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.4.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.4.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.4.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.4.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.4.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.5.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.5.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.5.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.5.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.5.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.5.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.5.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.5.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.5.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.5.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.5.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.5.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.5.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.5.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.6.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.6.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.6.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.6.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.6.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.6.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.6.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.6.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.6.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.6.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.6.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.6.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.6.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.6.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.7.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.7.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.7.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.7.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.7.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.7.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.7.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.7.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.7.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.7.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.7.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.7.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.7.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.7.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.8.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.8.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.8.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.8.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.8.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.8.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.8.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.8.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.8.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.8.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.8.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.8.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.8.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.8.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.9.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.9.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.9.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.9.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.9.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.9.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.9.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.9.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.9.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.9.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.9.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.9.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.9.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.9.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.10.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.10.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.10.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.10.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.10.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.10.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.10.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.10.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.10.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.10.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.10.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.10.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.10.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.10.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.11.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.11.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.11.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.11.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.11.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.11.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.11.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.11.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.11.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.11.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.11.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.11.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.11.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.11.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.12.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.12.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.12.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.12.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.12.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.12.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.12.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.12.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.12.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.12.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.12.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.12.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.12.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.12.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.13.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.13.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.13.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.13.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.13.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.13.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.13.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.13.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.13.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.13.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.13.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.13.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.13.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.13.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.14.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.14.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.14.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.14.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.14.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.14.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.14.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.14.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.14.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.14.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.14.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.14.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.14.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.14.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.15.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.15.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.15.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.15.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.15.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.15.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.15.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.15.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.15.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.15.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.15.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.15.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.15.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.15.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.16.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.16.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.16.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.16.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.16.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.16.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.16.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.16.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.16.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.16.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.16.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.16.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.16.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.16.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.17.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.17.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.17.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.17.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.17.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.17.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.17.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.17.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.17.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.17.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.17.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.17.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.17.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.17.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.18.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.18.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.18.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.18.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.18.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.18.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.18.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.18.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.18.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.18.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.18.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.18.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.18.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.18.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.19.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.19.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.19.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.19.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.19.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.19.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.19.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.19.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.19.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.19.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.19.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.19.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.19.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.19.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.20.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.20.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.20.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.20.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.20.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.20.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.20.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.20.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.20.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.20.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.20.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.20.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.20.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.20.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.21.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.21.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.21.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.21.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.21.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.21.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.21.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.21.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.21.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.21.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.21.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.21.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.21.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.21.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.22.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.22.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.22.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.22.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.22.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.22.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.22.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.22.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.22.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.22.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.22.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.22.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.22.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.22.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.23.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.23.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.23.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.23.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.23.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.23.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.23.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.23.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.23.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.23.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.23.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.23.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.23.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.23.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.24.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.24.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.24.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.24.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.24.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.24.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.24.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.24.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.24.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.24.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.24.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.24.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.24.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.24.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.25.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.25.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.25.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.25.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.25.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.25.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.25.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.25.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.25.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.25.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.25.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.25.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.25.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.25.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.26.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.26.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.26.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.26.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.26.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.26.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.26.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.26.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.26.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.26.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.26.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.26.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.26.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.26.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.27.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.27.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.27.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.27.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.27.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.27.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.27.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.27.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.27.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.27.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.27.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.27.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.27.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.27.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.28.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.28.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.28.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.28.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.28.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.28.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.28.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.28.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.28.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.28.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.28.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.28.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.28.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.28.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.29.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.29.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.29.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.29.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.29.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.29.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.29.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.29.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.29.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.29.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.29.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.29.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.29.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.29.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.30.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.30.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.30.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.30.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.30.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.30.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.30.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.30.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.30.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.30.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.30.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.30.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.30.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.30.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.31.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.31.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.31.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.31.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.31.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.31.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.31.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.31.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.31.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.31.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.31.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.31.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.31.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.31.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.32.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.32.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.32.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.32.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.32.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.32.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.32.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.32.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.32.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.32.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.32.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.32.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.32.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.32.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.33.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.33.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.33.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.33.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.33.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.33.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.33.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.33.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.33.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.33.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.33.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.33.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.33.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.33.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.34.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.34.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.34.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.34.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.34.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.34.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.34.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.34.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.34.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.34.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.34.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.34.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.34.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.34.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.35.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.35.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.35.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.35.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.35.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.35.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.35.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.35.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.35.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.35.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.35.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.35.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.35.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.35.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.36.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.36.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.36.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.36.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.36.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.36.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.36.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.36.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.36.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.36.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.36.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.36.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.36.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.36.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.37.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.37.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.37.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.37.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.37.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.37.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.37.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.37.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.37.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.37.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.37.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.37.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.37.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.37.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.38.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.38.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.38.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.38.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.38.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.38.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.38.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.38.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.38.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.38.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.38.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.38.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.38.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.38.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.39.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.39.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.39.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.39.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.39.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.39.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.39.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.39.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.39.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.39.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.39.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.39.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.39.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.39.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.40.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.40.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.40.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.40.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.40.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.40.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.40.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.40.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.40.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.40.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.40.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.40.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.40.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.40.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.41.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.41.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.41.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.41.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.41.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.41.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.41.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.41.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.41.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.41.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.41.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.41.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.41.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.41.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.42.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.42.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.42.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.42.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.42.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.42.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.42.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.42.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.42.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.42.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.42.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.42.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.42.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.42.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.43.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.43.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.43.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.43.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.43.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.43.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.43.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.43.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.43.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.43.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.43.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.43.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.43.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.43.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.44.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.44.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.44.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.44.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.44.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.44.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.44.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.44.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.44.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.44.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.44.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.44.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.44.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.44.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.45.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.45.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.45.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.45.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.45.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.45.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.45.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.45.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.45.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.45.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.45.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.45.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.45.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.45.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.46.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.46.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.46.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.46.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.46.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.46.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.46.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.46.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.46.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.46.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.46.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.46.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.46.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.46.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.47.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.47.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.47.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.47.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.47.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.47.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.47.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.47.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.47.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.47.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.47.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.47.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.47.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.47.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.48.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.48.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.48.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.48.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.48.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.48.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.48.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.48.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.48.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.48.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.48.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.48.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.48.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.48.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.49.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.49.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.49.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.49.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.49.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.49.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.49.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.49.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.49.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.49.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.49.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.49.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.49.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.49.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.50.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.50.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.50.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.50.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.50.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.50.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.50.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.50.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.50.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.50.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.50.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.50.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.50.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.50.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.51.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.51.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.51.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.51.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.51.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.51.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.51.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.51.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.51.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.51.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.51.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.51.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.51.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.51.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.52.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.52.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.52.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.52.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.52.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.52.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.52.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.52.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.52.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.52.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.52.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.52.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.52.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.52.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.53.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.53.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.53.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.53.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.53.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.53.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.53.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.53.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.53.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.53.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.53.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.53.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.53.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.53.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.54.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.54.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.54.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.54.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.54.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.54.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.54.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.54.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.54.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.54.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.54.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.54.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.54.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.54.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.55.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.55.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.55.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.55.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.55.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.55.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.55.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.55.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.55.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.55.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.55.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.55.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.55.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.55.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.56.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.56.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.56.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.56.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.56.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.56.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.56.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.56.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.56.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.56.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.56.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.56.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.56.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.56.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.57.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.57.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.57.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.57.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.57.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.57.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.57.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.57.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.57.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.57.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.57.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.57.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.57.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.57.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.58.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.58.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.58.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.58.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.58.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.58.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.58.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.58.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.58.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.58.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.58.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.58.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.58.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.58.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.59.self_attn.k_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.59.self_attn.k_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.59.self_attn.o_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.59.self_attn.o_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.59.self_attn.q_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.59.self_attn.q_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.59.self_attn.v_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([52, 832]). size mismatch for model.layers.59.self_attn.v_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([52, 6656]). size mismatch for model.layers.59.mlp.down_proj.qzeros: copying a param with shape torch.Size([1, 832]) from checkpoint, the shape in current model is torch.Size([140, 832]). size mismatch for model.layers.59.mlp.down_proj.scales: copying a param with shape torch.Size([1, 6656]) from checkpoint, the shape in current model is torch.Size([140, 6656]). size mismatch for model.layers.59.mlp.gate_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.59.mlp.gate_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]). size mismatch for model.layers.59.mlp.up_proj.qzeros: copying a param with shape torch.Size([1, 2240]) from checkpoint, the shape in current model is torch.Size([52, 2240]). size mismatch for model.layers.59.mlp.up_proj.scales: copying a param with shape torch.Size([1, 17920]) from checkpoint, the shape in current model is torch.Size([52, 17920]).

Working fine here with qwopqwop200/GPTQ-for-LLaMa (triton) and oobabooga textgen (not up to date).

Oobabooga textgen got updated to using AutoGPTQ as default yesterday. Just a hunch but maybe that's messing things up for you if you've updated recently? Command-line --gptq-for-llama to use gptq-for-llama instead of AutoGPTQ.

Working fine here with qwopqwop200/GPTQ-for-LLaMa (triton) and oobabooga textgen (not up to date).

Oobabooga textgen got updated to using AutoGPTQ as default yesterday. Just a hunch but maybe that's messing things up for you if you've updated recently? Command-line --gptq-for-llama to use gptq-for-llama instead of AutoGPTQ.

I made sure to select QWOPS GPTQ

To be honest I haven't tested with GPTQ-for-LLaMa Triton for a long time.

I make the models with GPTQ-for-LLaMa CUDA, because that's what most people have been using.

Now that AutoGPTQ got made default in text-gen, I will soon start making the models with AutoGPTQ instead.

Have you tried AutoGPTQ, @vdruts ? That's what I'd recommend if you want Triton. AutoGPTQ CUDA will be faster though at the moment.

To be honest I haven't tested with GPTQ-for-LLaMa Triton for a long time.

I make the models with GPTQ-for-LLaMa CUDA, because that's what most people have been using.

Now that AutoGPTQ got made default in text-gen, I will soon start making the models with AutoGPTQ instead.

Have you tried AutoGPTQ, @vdruts ? That's what I'd recommend if you want Triton. AutoGPTQ CUDA will be faster though at the moment.

As in Oobas branch of GPTQ or QWOPS Cuda?

No as in the new AutoGPTQ - it's the future of AutoGPTQ! That's what I recommend everyone use for GPTQ, instead of GPTQ-for-LLaMA. It supports both Triton and CUDA, but CUDA is faster at the moment.

And as of very recently, it's now the default in text-gen-ui.

It's 80% the same code as qwopqwop's GPTQ-for-LLaMa, but much more organised and well designed. qwopqwop is a developer on it, along with a guy called PanQiWei who started the project. The "Auto" refers to the fact that it's intended to be as easy to use as the Auto classes in transformers, eg instead of AutoModelForCausalLM you use AutoGPTQForCausalLM, and then all the rest of your code works the same.

If you update to latest text-gen-ui then AutoGPTQ is supported automatically. It detects the quantize_config.json file and loads it immediately.

Maybe I'm missing something but models take like 10-100x longer to load for me with it over GPTQforllama.

Honestly, I don't understand why it's the future. Maybe I'm missing something but models take like 10-100x longer to load for me with it over GPTQforllama.

In Triton mode? Yes it does seem to have slow loading in Triton, not sure why. Needs to be raised as an issue. But in CUDA it's fast.:

text-gen-ui loading WizardLM 30B in AutoGPTQ CUDA :

[pytorch2] ubuntu@h100:/workspace/git/text-generation-webui git:(main) $ python server.py --autogptq --model wizardlm-30b
WARNING:--autogptq has been deprecated and will be removed soon. AutoGPTQ is now used by default for GPTQ models.
bin /workspace/venv/pytorch2/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda120.so
INFO:Loading wizardlm-30b...
INFO:The AutoGPTQ params are: {'model_basename': 'wizardlm-30b-GPTQ-4bit--1g.act.order', 'device': 'cuda:0', 'use_triton': False, 'use_safetensors': True, 'trust_remote_code': False, 'max_memory': None, 'quantize_config': None}
WARNING:The safetensors archive passed at models/wizardlm-30b/wizardlm-30b-GPTQ-4bit--1g.act.order.safetensors does not contain metadata. Make sure to save your model with the `save_pretrained` method. Defaulting to 'pt' metadata.
WARNING:skip module injection for FusedLlamaMLPForQuantizedModel not support integrate without triton yet.
INFO:Loaded the model in 9.98 seconds.

Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.

Just under 10 seconds. And that's with fused attention enabled, which wasn't available in GPTQ-for-LLaMa CUDA.

Wow yep your're right! super fast (just tried in windows) not sure why I kept having issues in WSL.

To be honest I haven't tested with GPTQ-for-LLaMa Triton for a long time.

I make the models with GPTQ-for-LLaMa CUDA, because that's what most people have been using.

Now that AutoGPTQ got made default in text-gen, I will soon start making the models with AutoGPTQ instead.

Have you tried AutoGPTQ, @vdruts ? That's what I'd recommend if you want Triton. AutoGPTQ CUDA will be faster though at the moment.

will that effect future koboldAI support? It seems a bit slower at upgrading to the newer methods on some forks but I prefer its ui (and its more taliored to using an ai like the old fighting fantasy books lol )

I'm hoping there will be an AutoGPTQ backend for kobald soon. Occam himself started looking at it briefly the other day. Don't know if he's going to write it or not.

Before I move over to AutoGPTQ for model production I will test with their exist GPTQ-for-LLaMa fork to see if AutoGPTQ-made GPTQs load with what they currently have.

I'm hoping there will be an AutoGPTQ backend for kobald soon. Occam himself started looking at it briefly the other day. Don't know if he's going to write it or not.

Before I move over to AutoGPTQ for model production I will test with their exist GPTQ-for-LLaMa fork to see if AutoGPTQ-made GPTQs load with what they currently have.

Cool, i believe its his fork i use (its the only one with 4bit support, though it means i have to rename the file...then use a hardlink to make a fake file with the original name so oogabooga loads them too lol)
Textgen is so much more interesting than image gen but it does feel rather all over the place. I spent the night trying to find how you train a lora for models such as this, only to realise that you cant, and even if you could theres no way to load them into kobold....that was following the discovery you cant train soft prompts with 4bit models which is supported by kobold but seems to just had its folder removed from oogabooga lol
no real standardisation of this stuff yet i guess

If only all of these developers could find common ground and combine their efforts into a single, mother of all, open source AI project.

One can dream I guess...

If only all of these developers could find common ground and combine their efforts into a single, mother of all, open source AI project.

One can dream I guess...

i would say thats true of everything, ah what i would not give to see the empyrion developers and the space engineer developers combine forces

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