feat: convert Taiwan Llama2 with gptq
Browse files- config.json +26 -0
- gptq_model-4bit-128g.bin +3 -0
- gptq_model-4bit-128g.safetensors +3 -0
- quantize_config.json +10 -0
config.json
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{
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"_name_or_path": "yentinglin/Taiwan-LLaMa-v1.0",
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"architectures": [
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"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": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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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": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.31.0",
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"use_cache": false,
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"vocab_size": 32000
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}
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gptq_model-4bit-128g.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c06ac570ef03a5ee706424d90ed054a1a37c3c3b7ba5f17de8345a59be1af5d7
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size 7259817703
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gptq_model-4bit-128g.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:75b2a2063f52f0989a7b2636a304cd920d556ed8cdd485c158cef286b03f9ccc
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size 7259449576
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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": 0.01,
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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": "Taiwan-LLaMa-v1.0-4bits-GPTQ",
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"model_file_base_name": "gptq_model-4bit-128g"
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}
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