Instructions to use mlx-community/Mistral-7B-Instruct-v0.2-4-bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Mistral-7B-Instruct-v0.2-4-bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/Mistral-7B-Instruct-v0.2-4-bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use mlx-community/Mistral-7B-Instruct-v0.2-4-bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/Mistral-7B-Instruct-v0.2-4-bit" --prompt "Once upon a time"
Update README.md (#5)
Browse files- Update README.md (1ae9dbb3a107711368cc2d4deb70fe7c7a501a7f)
Co-authored-by: Marc Sun <marcsun13@users.noreply.huggingface.co>
README.md
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# Download model
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export HF_HUB_ENABLE_HF_TRANSFER=1
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huggingface-cli download --local-dir-use-symlinks False --local-dir mlx_model mlx-community/Mistral-7B-Instruct-v0.2
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# Run example
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python mlx-examples/mistral/mistral.py --prompt "My name is"
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```
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The rest of this model card was copied from the [original repository](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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# Download model
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export HF_HUB_ENABLE_HF_TRANSFER=1
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huggingface-cli download --local-dir-use-symlinks False --local-dir mlx_model mlx-community/Mistral-7B-Instruct-v0.2-4-bit
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# Run example
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python mlx-examples/llms/mistral/mistral.py --prompt "My name is"
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```
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The rest of this model card was copied from the [original repository](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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