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Mistral7B-Inst-v0.2-4bit-mlx-distilabel-capybara-dpo-7k

This model was converted to MLX format from mlx-community/Mistral-7B-Instruct-v0.2-8-bit-mlx. Refer to the original model card for more details on the model.

Using a DPO dataset by Argilla dataset

Use with mlx

pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx-examples/llms/hf_llm
python generate.py --model mlx-community/Mistral7B-Inst-v0.2-4bit-mlx-distilabel-capybara-dpo-7k --prompt "What wights more 1kg of feathers or 0.5kg of steel?"
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Model size
1.24B params
Tensor type
BF16
U32
F32
Inference API
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