Instructions to use mlx-community/CodeLlama-7b-Python-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeLlama-7b-Python-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-Python-mlx") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/CodeLlama-7b-Python-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-Python-mlx" --prompt "Once upon a time"
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by pcuenq HF Staff - opened
README.md
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How to use with [MLX](https://github.com/ml-explore/mlx).
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```bash
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# Install mlx, mlx-examples, huggingface-cli
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pip install mlx
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pip install huggingface_hub hf_transfer
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huggingface-cli download --local-dir CodeLlama-7b-Python-mlx mlx-llama/CodeLlama-7b-Python-mlx
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# Run example
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python mlx-examples/llama/llama.py CodeLlama-7b-Python-mlx/ CodeLlama-7b-Python-mlx/tokenizer.model
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```
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Please, refer to the [original model card](https://github.com/facebookresearch/codellama/blob/main/MODEL_CARD.md) for details on CodeLlama.
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How to use with [MLX](https://github.com/ml-explore/mlx).
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```bash
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# Install mlx, mlx-examples, huggingface-cli
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pip install mlx
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pip install huggingface_hub hf_transfer
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huggingface-cli download --local-dir CodeLlama-7b-Python-mlx mlx-llama/CodeLlama-7b-Python-mlx
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# Run example
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python mlx-examples/llama/llama.py --prompt "def fibonacci(n):" CodeLlama-7b-Python-mlx/ CodeLlama-7b-Python-mlx/tokenizer.model --max-tokens 200
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```
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Please, refer to the [original model card](https://github.com/facebookresearch/codellama/blob/main/MODEL_CARD.md) for details on CodeLlama.
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