Instructions to use Ailiance-fr/devstral-docker-devops-bf16-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ailiance-fr/devstral-docker-devops-bf16-lora with PEFT:
Task type is invalid.
- MLX
How to use Ailiance-fr/devstral-docker-devops-bf16-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-docker-devops-bf16-lora") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use Ailiance-fr/devstral-docker-devops-bf16-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-docker-devops-bf16-lora" --prompt "Once upon a time"
- Xet hash:
- e85eae1e95ebc2097db1561e03198dfa359c3fb97c611053cf2a0703829532ee
- Size of remote file:
- 370 MB
- SHA256:
- 33741ec65d8760e71bc53c06a6df384450febd913469a30e51b9efaceea071df
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