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"
params.json -> config.json, add model_type
Browse files
params.json → config.json
RENAMED
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"multiple_of": 256,
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"ffn_dim_multiplier": 1.0,
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"norm_eps": 1e-5,
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"rope_theta": 1000000
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}
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"multiple_of": 256,
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"ffn_dim_multiplier": 1.0,
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"norm_eps": 1e-5,
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"rope_theta": 1000000,
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"model_type": "llama"
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}
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