Instructions to use Ailiance-fr/devstral-python-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ailiance-fr/devstral-python-lora with PEFT:
Task type is invalid.
- MLX
How to use Ailiance-fr/devstral-python-lora 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("Ailiance-fr/devstral-python-lora") 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 Ailiance-fr/devstral-python-lora with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Ailiance-fr/devstral-python-lora" --prompt "Once upon a time"
- Atomic Chat
Commit History
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docs: PST-verbatim model card v0.4.3 (Commission template 2025-07-24)
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docs: PST-aligned model card v0.4.2 (EU AI Act Art. 53(1)(d))
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docs: EU AI Act self-contained model card v0.4.1
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upload eu-kiki LoRA adapter
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initial commit
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