Add files using large-upload tool
Browse files- config.json +42 -0
- quantize_config.json +13 -0
- tokenizer.json +0 -0
config.json
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{
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"_name_or_path": "/fsx/llama405b/instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 16384,
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"initializer_range": 0.02,
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"intermediate_size": 53248,
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"max_position_embeddings": 16384,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 128,
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"num_hidden_layers": 126,
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"num_key_value_heads": 16,
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"pretraining_tp": 1,
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"quantization_config": {
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"bits": 4,
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"damp_percent": 0.1,
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"desc_act": true,
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"group_size": 128,
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"is_marlin_format": false,
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"model_file_base_name": "gptq_model-4bit-128g",
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"model_name_or_path": "/fsx/llama405b/4bit-gptq-instruct",
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"quant_method": "gptq",
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"static_groups": false,
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"sym": true,
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"true_sequential": true
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},
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.42.4",
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"use_cache": true,
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"vocab_size": 128256
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}
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quantize_config.json
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{
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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": true,
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"static_groups": false,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": "/fsx/llama405b/4bit-gptq-instruct",
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"model_file_base_name": "gptq_model-4bit-128g",
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"is_marlin_format": false,
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"quant_method": "gptq"
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}
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tokenizer.json
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