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:
- 171e9d8cc6ec75a59e1316be0076a9c100ee04f0ab96e5e370a2cab0b943fb3b
- Size of remote file:
- 5.28 GB
- SHA256:
- 25ac5638cb4708d819d563f180462795ca8f0cb708b04e1131721b071ccb32dd
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