Instructions to use graelo/Devstral-Small-2507-6bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use graelo/Devstral-Small-2507-6bits 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("graelo/Devstral-Small-2507-6bits") 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 graelo/Devstral-Small-2507-6bits with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "graelo/Devstral-Small-2507-6bits" --prompt "Once upon a time"
- Xet hash:
- 10abd5bf296e45293ed8189ba046e813dc4045b5608ce0de32e5d805e53b32b8
- Size of remote file:
- 3.21 GB
- SHA256:
- be7068e3cd409e82fc5ed5f2f2ce11226c50f7deb9e9e4673f964d0dee80062f
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