Instructions to use graelo/Devstral-Small-2507-4bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use graelo/Devstral-Small-2507-4bits 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-2507-4bits") 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-2507-4bits 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-2507-4bits" --prompt "Once upon a time"
- Xet hash:
- 9335df902a64bcec807e088f20b616ced2f96622036bab9000ccce1eaa30205b
- Size of remote file:
- 2.66 GB
- SHA256:
- edca830202036c7f9281e1a5465167ac66c8978cdc465c262783a03cf6dae2be
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