Instructions to use ton-An/CodeLlama-13b-hf-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ton-An/CodeLlama-13b-hf-mlx-4Bit 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("ton-An/CodeLlama-13b-hf-mlx-4Bit") 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 ton-An/CodeLlama-13b-hf-mlx-4Bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "ton-An/CodeLlama-13b-hf-mlx-4Bit" --prompt "Once upon a time"
- Atomic Chat
Download tokenizer.json from ton-An/CodeLlama-13b-hf-mlx-4Bit: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/ton-An/CodeLlama-13b-hf-mlx-4Bit/resolve/main/tokenizer.json
- Command line
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hf download hf://ton-An/CodeLlama-13b-hf-mlx-4Bit/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ton-An/CodeLlama-13b-hf-mlx-4Bit/resolve/main/tokenizer.json
3.62 MB
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