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/home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat gen_config /models/gemma-2b-it --quantization q0f32 --conv-template gemma_instruction --output /tmp/tmpe_lwnsrp --context-window-size 8192 --prefill-chunk-size 1024 [2024-02-21 23:21:06] INFO auto_config.py:115: [92mFound[0m model configuration: /models/gemma-2b-it/config.json [2024-02-21 23:21:06] INFO auto_config.py:153: [92mFound[0m model type: [1mgemma[0m. Use `--model-type` to override. [2024-02-21 23:21:06] INFO gemma_model.py:55: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) [2024-02-21 23:21:06] INFO gemma_model.py:70: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (8192) [2024-02-21 23:21:06] INFO config.py:106: Overriding [1mcontext_window_size[0m from 8192 to 8192 [2024-02-21 23:21:06] INFO config.py:106: Overriding [1mprefill_chunk_size[0m from 8192 to 1024 [2024-02-21 23:21:06] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-02-21 23:21:06] INFO gen_config.py:121: [generation_config.json] Setting [1mbos_token_id[0m: 2 [2024-02-21 23:21:06] INFO gen_config.py:121: [generation_config.json] Setting [1meos_token_id[0m: 1 [2024-02-21 23:21:06] INFO gen_config.py:121: [generation_config.json] Setting [1mpad_token_id[0m: 0 [2024-02-21 23:21:06] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer.model. Copying to [1m/tmp/tmpe_lwnsrp/tokenizer.model[0m [2024-02-21 23:21:06] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer.json. Copying to [1m/tmp/tmpe_lwnsrp/tokenizer.json[0m [2024-02-21 23:21:06] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/vocab.json [2024-02-21 23:21:06] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/merges.txt [2024-02-21 23:21:06] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/added_tokens.json [2024-02-21 23:21:06] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer_config.json. Copying to [1m/tmp/tmpe_lwnsrp/tokenizer_config.json[0m [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mtemperature[0m: 0.7 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mrepetition_penalty[0m: 1.0 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mtop_p[0m: 0.95 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mmean_gen_len[0m: 128 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mmax_gen_len[0m: 512 [2024-02-21 23:21:06] INFO gen_config.py:74: [System default] Setting [1mshift_fill_factor[0m: 0.3 [2024-02-21 23:21:06] INFO gen_config.py:186: Dumping configuration file to: [1m/tmp/tmpe_lwnsrp/mlc-chat-config.json[0m /home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat convert_weight /models/gemma-2b-it --quantization q0f32 --source-format auto --output /tmp/tmpe_lwnsrp [2024-02-21 23:21:08] INFO auto_config.py:115: [92mFound[0m model configuration: /models/gemma-2b-it/config.json [2024-02-21 23:21:09] INFO auto_device.py:76: [92mFound[0m device: cuda:0 [2024-02-21 23:21:09] INFO auto_device.py:76: [92mFound[0m device: cuda:1 [2024-02-21 23:21:10] INFO auto_device.py:85: [91mNot found[0m device: rocm:0 [2024-02-21 23:21:11] INFO auto_device.py:85: [91mNot found[0m device: metal:0 [2024-02-21 23:21:21] INFO auto_device.py:76: [92mFound[0m device: vulkan:0 [2024-02-21 23:21:21] INFO auto_device.py:76: [92mFound[0m device: vulkan:1 [2024-02-21 23:21:21] INFO auto_device.py:76: [92mFound[0m device: vulkan:2 [2024-02-21 23:21:23] INFO auto_device.py:85: [91mNot found[0m device: opencl:0 [2024-02-21 23:21:23] INFO auto_device.py:33: Using device: [1mcuda:0[0m [2024-02-21 23:21:23] INFO auto_weight.py:70: Finding weights in: /models/gemma-2b-it [2024-02-21 23:21:23] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch [2024-02-21 23:21:23] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/gemma-2b-it/model.safetensors.index.json [2024-02-21 23:21:23] INFO auto_weight.py:106: Using source weight configuration: [1m/models/gemma-2b-it/model.safetensors.index.json[0m. Use `--source` to override. [2024-02-21 23:21:23] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-02-21 23:21:23] INFO auto_config.py:153: [92mFound[0m model type: [1mgemma[0m. Use `--model-type` to override. [2024-02-21 23:21:23] INFO gemma_model.py:55: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) [2024-02-21 23:21:23] INFO gemma_model.py:70: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (8192) [1mWeight conversion with arguments:[0m [1m--config[0m /models/gemma-2b-it/config.json [1m--quantization[0m NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32') [1m--model-type[0m gemma [1m--device[0m cuda:0 [1m--source[0m /models/gemma-2b-it/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m /tmp/tmpe_lwnsrp 0%| | 0/110 [00:00<?, ?it/s] [2024-02-21 23:21:24] INFO huggingface_loader.py:182: Loading HF parameters from: /models/gemma-2b-it/model-00001-of-00002.safetensors 0%| | 0/110 [00:00<?, ?it/s] [2024-02-21 23:21:30] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.embed_tokens.weight[0m", shape: (256000, 2048), dtype: float32 0%| | 0/110 [00:06<?, ?it/s] 1%|βββ | 1/110 [00:07<14:19, 7.89s/it] [2024-02-21 23:21:31] INFO huggingface_loader.py:172: 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72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 79/110 [00:26<00:09, 3.23it/s] [2024-02-21 23:21:50] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (2048,), dtype: float32 72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 79/110 [00:26<00:09, 3.23it/s] [2024-02-21 23:21:50] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float32 72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 79/110 [00:26<00:09, 3.23it/s] 76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/110 [00:27<00:04, 5.32it/s] [2024-02-21 23:21:51] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float32 76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/110 [00:27<00:04, 5.32it/s] [2024-02-21 23:21:51] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/110 [00:27<00:04, 5.32it/s] 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:27<00:05, 4.26it/s] [2024-02-21 23:21:51] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float32 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:27<00:05, 4.26it/s] [2024-02-21 23:21:51] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float32 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:27<00:05, 4.26it/s] [2024-02-21 23:21:51] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (2048,), dtype: float32 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:27<00:05, 4.26it/s] [2024-02-21 23:21:52] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float32 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:27<00:05, 4.26it/s] 82%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/110 [00:28<00:03, 6.03it/s] [2024-02-21 23:21:52] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float32 82%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/110 [00:28<00:03, 6.03it/s] [2024-02-21 23:21:52] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 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"[1mmodel.layers.7.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float32 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:28<00:03, 4.59it/s] [2024-02-21 23:21:52] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (2048,), dtype: float32 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:28<00:03, 4.59it/s] [2024-02-21 23:21:53] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float32 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88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/110 [00:30<00:03, 3.91it/s] [2024-02-21 23:21:54] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/110 [00:30<00:03, 3.91it/s] [2024-02-21 23:21:54] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float32 88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/110 [00:30<00:03, 3.91it/s] [2024-02-21 23:21:54] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float32 88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 97/110 [00:30<00:03, 3.91it/s] [2024-02-21 23:21:54] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (2048,), dtype: float32 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[2024-02-21 23:21:55] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float32 95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 105/110 [00:31<00:00, 5.02it/s] [2024-02-21 23:21:55] INFO huggingface_loader.py:194: Unloading HF weight file: /models/gemma-2b-it/model-00001-of-00002.safetensors 95%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 105/110 [00:31<00:00, 5.02it/s] [2024-02-21 23:21:56] INFO huggingface_loader.py:182: Loading HF parameters from: /models/gemma-2b-it/model-00002-of-00002.safetensors 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[2024-02-21 23:21:56] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float32 97%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/110 [00:32<00:00, 3.86it/s] 98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/110 [00:32<00:00, 4.10it/s] [2024-02-21 23:21:56] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32 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[2024-02-21 23:21:56] INFO huggingface_loader.py:194: Unloading HF weight file: /models/gemma-2b-it/model-00002-of-00002.safetensors [2024-02-21 23:21:56] INFO stats.py:76: [92mTime usage[0m: HF loading: 3.785 sec; Pre-quantization mapping: 20.160 sec; Quantization: 0.000 sec [2024-02-21 23:21:56] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 9.211 GB. Total bytes loaded from disk: 9.336 GB [2024-02-21 23:21:56] INFO convert_weight.py:132: [92mParameter size[0m after quantization: 9.336 GB [2024-02-21 23:21:56] INFO convert_weight.py:137: [92mTotal parameters[0m: 2,506,172,416 [2024-02-21 23:21:56] INFO convert_weight.py:138: [92mBits per parameter[0m: 32.000 /home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/cfruan/.conda/envs/mlc-source-311/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero. return self._float_to_str(self.smallest_subnormal) Start storing to cache /tmp/tmpe_lwnsrp [0001/0110] saving model.embed_tokens.weight [0002/0110] saving model.layers.0.input_layernorm.weight [0003/0110] saving model.layers.0.mlp.down_proj.weight [0004/0110] 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model.layers.3.post_attention_layernorm.weight [0069/0110] saving model.layers.3.self_attn.qkv_proj.weight [0070/0110] saving model.layers.3.self_attn.o_proj.weight [0071/0110] saving model.layers.4.input_layernorm.weight [0072/0110] saving model.layers.4.mlp.down_proj.weight [0073/0110] saving model.layers.4.mlp.gate_up_proj.weight [0074/0110] saving model.layers.4.post_attention_layernorm.weight [0075/0110] saving model.layers.4.self_attn.qkv_proj.weight [0076/0110] saving model.layers.4.self_attn.o_proj.weight [0077/0110] saving model.layers.5.input_layernorm.weight [0078/0110] saving model.layers.5.mlp.down_proj.weight [0079/0110] saving model.layers.5.mlp.gate_up_proj.weight [0080/0110] saving model.layers.5.post_attention_layernorm.weight [0081/0110] saving model.layers.5.self_attn.qkv_proj.weight [0082/0110] saving model.layers.5.self_attn.o_proj.weight [0083/0110] saving model.layers.6.input_layernorm.weight [0084/0110] saving model.layers.6.mlp.down_proj.weight [0085/0110] saving model.layers.6.mlp.gate_up_proj.weight [0086/0110] saving model.layers.6.post_attention_layernorm.weight [0087/0110] saving model.layers.6.self_attn.qkv_proj.weight [0088/0110] saving model.layers.6.self_attn.o_proj.weight [0089/0110] saving model.layers.7.input_layernorm.weight [0090/0110] saving model.layers.7.mlp.down_proj.weight [0091/0110] saving model.layers.7.mlp.gate_up_proj.weight [0092/0110] saving model.layers.7.post_attention_layernorm.weight [0093/0110] saving model.layers.7.self_attn.qkv_proj.weight [0094/0110] saving model.layers.7.self_attn.o_proj.weight [0095/0110] saving model.layers.8.input_layernorm.weight [0096/0110] saving model.layers.8.mlp.down_proj.weight [0097/0110] saving model.layers.8.mlp.gate_up_proj.weight [0098/0110] saving model.layers.8.post_attention_layernorm.weight [0099/0110] saving model.layers.8.self_attn.qkv_proj.weight [0100/0110] saving model.layers.8.self_attn.o_proj.weight [0101/0110] saving model.layers.9.input_layernorm.weight [0102/0110] saving model.layers.9.mlp.down_proj.weight [0103/0110] saving model.layers.9.mlp.gate_up_proj.weight [0104/0110] saving model.layers.9.post_attention_layernorm.weight [0105/0110] saving model.layers.9.self_attn.qkv_proj.weight [0106/0110] saving model.layers.9.self_attn.o_proj.weight [0107/0110] saving model.layers.17.input_layernorm.weight [0108/0110] saving model.layers.17.mlp.down_proj.weight [0109/0110] saving model.layers.17.post_attention_layernorm.weight [0110/0110] saving model.norm.weight All finished, 49 total shards committed, record saved to /tmp/tmpe_lwnsrp/ndarray-cache.json Also saved a bf16 record to /tmp/tmpe_lwnsrp/ndarray-cache-b16.json |