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README.md ADDED
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+ ---
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+ base_model:
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+ - lainlives/codellama-34b-python-merge
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+ ---
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+ # lainlives/codellama-34b-python-merge (Quantized)
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+
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+ ## Description
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+ This model is a quantized version of the original model [`lainlives/codellama-34b-python-merge`](https://huggingface.co/lainlives/codellama-34b-python-merge).
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+
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+ It's quantized using the BitsAndBytes library to 4-bit using the [bnb-my-repo](https://huggingface.co/spaces/bnb-community/bnb-my-repo) space.
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+
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+ ## Quantization Details
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+ - **Quantization Type**: int4
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+ - **bnb_4bit_quant_type**: nf4
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+ - **bnb_4bit_use_double_quant**: True
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+ - **bnb_4bit_compute_dtype**: bfloat16
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+ - **bnb_4bit_quant_storage**: uint8
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+
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+ "LlamaModel"
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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": 1,
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+ "dtype": "bfloat16",
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+ "eos_token_id": 2,
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+ "head_dim": 128,
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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": 22016,
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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": 64,
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+ "num_hidden_layers": 48,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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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": "bfloat16",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "nf4",
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+ "bnb_4bit_use_double_quant": true,
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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-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.53.1",
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+ }
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