MLX
mistral
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - mlx
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+ datasets:
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+ - ai2_arc
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+ - unalignment/spicy-3.1
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+ - codeparrot/apps
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+ - facebook/belebele
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+ - boolq
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+ - jondurbin/cinematika-v0.1
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+ - drop
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+ - lmsys/lmsys-chat-1m
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+ - TIGER-Lab/MathInstruct
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+ - cais/mmlu
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+ - Muennighoff/natural-instructions
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+ - openbookqa
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+ - piqa
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+ - Vezora/Tested-22k-Python-Alpaca
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+ - cakiki/rosetta-code
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+ - Open-Orca/SlimOrca
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+ - spider
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+ - squad_v2
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+ - migtissera/Synthia-v1.3
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+ - datasets/winogrande
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+ - nvidia/HelpSteer
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+ - Intel/orca_dpo_pairs
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+ - unalignment/toxic-dpo-v0.1
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+ - jondurbin/truthy-dpo-v0.1
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+ - allenai/ultrafeedback_binarized_cleaned
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+ ---
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+
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+ # bagel-dpo-7b-v0.1-4bit-mlx
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+ This model was converted to MLX format from [`jondurbin/bagel-dpo-7b-v0.1`]().
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+ Refer to the [original model card](https://huggingface.co/jondurbin/bagel-dpo-7b-v0.1) for more details on the model.
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+ ## Use with mlx
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+ ```bash
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+ pip install mlx
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+ git clone https://github.com/ml-explore/mlx-examples.git
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+ cd mlx-examples/llms/hf_llm
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+ python generate.py --model mlx-community/bagel-dpo-7b-v0.1-4bit-mlx --prompt "My name is"
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+ ```
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "rms_norm_eps": 1e-05,
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+ "use_cache": false,
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+ "rope_theta": 10000.0,
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+ "return_dict": true,
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+ "temperature": 1.0,
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+ "top_p": 1.0,
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+ "repetition_penalty": 1.0,
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+ "_name_or_path": "jondurbin/bagel-dpo-7b-v0.1",
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+ "transformers_version": "4.36.2",
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+ "model_type": "mistral",
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+ "quantization": {
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+ "group_size": 64,
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+ "bits": 4
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+ }
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+ }
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