RichardErkhov
commited on
Commit
•
59abc12
1
Parent(s):
692af08
uploaded model
Browse files- config.json +58 -0
config.json
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{
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"_block_types": [
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"recurrent",
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"recurrent",
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"attention"
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],
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"_name_or_path": "recurrentgemma-2b",
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"architectures": [
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"RecurrentGemmaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attention_window_size": 2048,
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"block_types": [
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"recurrent",
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"recurrent",
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"attention"
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],
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"bos_token_id": 2,
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"conv1d_width": 4,
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"embeddings_scale_by_sqrt_dim": true,
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"eos_token_id": 1,
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"final_w_init_variance_scale": 0.07692307692307693,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 2560,
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"intermediate_size": 15360,
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"logits_soft_cap": 30.0,
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"lru_width": 2560,
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"model_type": "recurrent_gemma",
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"num_attention_heads": 10,
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"num_hidden_layers": 26,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"partial_rotary_factor": 0.5,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "float32",
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"bnb_4bit_quant_storage": "uint8",
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"bnb_4bit_quant_type": "fp4",
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"bnb_4bit_use_double_quant": false,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"torch_dtype": "float16",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 256000,
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"w_init_variance_scale": 0.01
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}
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