Instructions to use mlx-community/CodeLlama-7b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-mlx 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/CodeLlama-7b-mlx") 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/CodeLlama-7b-mlx 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/CodeLlama-7b-mlx" --prompt "Once upon a time"
2beba7f8fb97273847f514c7e839267b4ffeaf71010f77fdef4bbe58aadea126
Browse files- CodeLlama-7b.npz +3 -0
CodeLlama-7b.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:61a9c8c5606a3aec92ddd4320040a02309142cb15916f0480e40c865b817fae1
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size 13477180542
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