Initial GPTQ model commit
Browse files- config.json +46 -0
config.json
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{
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"_name_or_path": "/fsx/proj-trlx/conceptofmind/scaled-rope-private/save_model/final/yarn-llama-2-7b-3e-5-64k-600steps-32scale",
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"architectures": [
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"LlamaForCausalLM"
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],
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"auto_map": {
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"AutoConfig": "configuration_llama.LlamaConfig",
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"AutoModelForCausalLM": "modeling_llama_together_yarn.LlamaForCausalLM"
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},
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 131072,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 32.0,
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"original_max_position_embeddings": 4096,
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"type": "yarn",
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"finetuned": true
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},
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.32.0.dev0",
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"use_cache": true,
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"vocab_size": 32000,
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"quantization_config": {
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"bits": 4,
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"group_size": 128,
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"damp_percent": 0.1,
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"desc_act": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": null,
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"model_file_base_name": "model",
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"quant_method": "gptq"
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}
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}
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