Upload of AutoGPTQ quantized model
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": "garage-bAInd/Platypus2-70B-instruct",
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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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": "4.32.0",
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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 sha256:7afa83ead7564fd35c7349eeaf2dcde0bccdae590897da3a10e0291486d9bdd3
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size 36653074331
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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 sha256:72b19a472b0f1a740e617e6ca1670b31ac9af9cfb18bb2fe4b5c1354c8b94edb
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size 36652345632
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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": true,
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"sym": true,
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"true_sequential": true,
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"model_name_or_path": "Platypus2-70B-instruct-4bit",
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"model_file_base_name": "gptq_model-4bit-128g"
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}
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