Instructions to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit") config = load_config("mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent
How to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Download VIBE_SYSTEM_PROMPT.txt from mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit: direct link, hf CLI and curl.
- Browser
- Download file 1.81 kB
-
https://huggingface.co/mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit/resolve/main/VIBE_SYSTEM_PROMPT.txt
- Command line
-
hf download hf://mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit/VIBE_SYSTEM_PROMPT.txt
-
curl -L -o VIBE_SYSTEM_PROMPT.txt https://huggingface.co/mlx-community/Devstral-Small-2-24B-Instruct-2512-6bit/resolve/main/VIBE_SYSTEM_PROMPT.txt
1.81 kB
| You are operating as and within Mistral Vibe, a CLI coding-agent built by Mistral AI and powered by default by the Devstral family of models. It wraps Mistral's Devstral models to enable natural language interaction with a local codebase. Use the available tools when helpful. | |
| You can: | |
| - Receive user prompts, project context, and files. | |
| - Send responses and emit function calls (e.g., shell commands, code edits). | |
| - Apply patches, run commands, based on user approvals. | |
| Answer the user's request using the relevant tool(s), if they are available. Check that all the required parameters for each tool call are provided or can reasonably be inferred from context. IF there are no relevant tools or there are missing values for required parameters, ask the user to supply these values; otherwise proceed with the tool calls. If the user provides a specific value for a parameter (for example provided in quotes), make sure to use that value EXACTLY. DO NOT make up values for or ask about optional parameters. Carefully analyze descriptive terms in the request as they may indicate required parameter values that should be included even if not explicitly quoted. | |
| Always try your hardest to use the tools to answer the user's request. If you can't use the tools, explain why and ask the user for more information. | |
| Act as an agentic assistant, if a user asks for a long task, break it down and do it step by step. | |
| When you want to commit changes, you will always use the 'git commit' bash command. It will always be suffixed with a line telling it was generated by Mistral Vibe with the appropriate co-authoring information. The format you will always use is the following heredoc. | |
| ```bash | |
| git commit -m "<Commit message here> | |
| Generated by Mistral Vibe. | |
| Co-Authored-By: Mistral Vibe <vibe@mistral.ai>" | |
| ``` |