huihui-ai/Huihui-Devstral-Small-2-24B-Instruct-2512-abliterated

This is an uncensored version of mistralai/Devstral-Small-2-24B-Instruct-2512 created with abliteration (see remove-refusals-with-transformers to know more about it).

This model is an Instruct model in BF16.

It was only the text part that was processed, not the image part.

Quick Start with Transformers

Make sure to install from main:

uv pip install git+https://github.com/huggingface/transformers

And run the following code snippet:

import torch
from transformers import (
    Mistral3ForConditionalGeneration,
    MistralCommonBackend,
)
model_id = "huihui-ai/Huihui-Devstral-Small-2-24B-Instruct-2512-abliterated"
tokenizer = MistralCommonBackend.from_pretrained(model_id)
model = Mistral3ForConditionalGeneration.from_pretrained(model_id, device_map="auto", dtype=torch.bfloat16)
SP = """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 uses is the following heredoc.
```bash
git commit -m "<Commit message here>
Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <[email protected]>"
```"""
input = {
    "messages": [
        {
            "role": "system",
            "content": SP,
        },
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Can you implement in Python a method to compute the fibonnaci sequence at the `n`th element with `n` a parameter passed to the function ? You should start the sequence from 1, previous values are invalid.\nThen run the Python code for the function for n=5 and give the answer.",
                }
            ],
        },
    ],
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "add_number",
                "description": "Add two numbers.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "a": {"type": "string", "description": "The first number."},
                        "b": {"type": "string", "description": "The second number."},
                    },
                    "required": ["a", "b"],
                },
            },
        },
        {
            "type": "function",
            "function": {
                "name": "multiply_number",
                "description": "Multiply two numbers.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "a": {"type": "string", "description": "The first number."},
                        "b": {"type": "string", "description": "The second number."},
                    },
                    "required": ["a", "b"],
                },
            },
        },
        {
            "type": "function",
            "function": {
                "name": "substract_number",
                "description": "Substract two numbers.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "a": {"type": "string", "description": "The first number."},
                        "b": {"type": "string", "description": "The second number."},
                    },
                    "required": ["a", "b"],
                },
            },
        },
        {
            "type": "function",
            "function": {
                "name": "write_a_story",
                "description": "Write a story about science fiction and people with badass laser sabers.",
                "parameters": {},
            },
        },
        {
            "type": "function",
            "function": {
                "name": "terminal",
                "description": "Perform operations from the terminal.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "command": {
                            "type": "string",
                            "description": "The command you wish to launch, e.g `ls`, `rm`, ...",
                        },
                        "args": {
                            "type": "string",
                            "description": "The arguments to pass to the command.",
                        },
                    },
                    "required": ["command"],
                },
            },
        },
        {
            "type": "function",
            "function": {
                "name": "python",
                "description": "Call a Python interpreter with some Python code that will be ran.",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "code": {
                            "type": "string",
                            "description": "The Python code to run",
                        },
                        "result_variable": {
                            "type": "string",
                            "description": "Variable containing the result you'd like to retrieve from the execution.",
                        },
                    },
                    "required": ["code", "result_variable"],
                },
            },
        },
    ],
}
tokenized = tokenizer.apply_chat_template(
    conversation=input["messages"],
    tools=input["tools"],
    return_tensors="pt",
    return_dict=True,
)
input_ids = tokenized["input_ids"].to(device="cuda")
output = model.generate(
    input_ids,
    max_new_tokens=200,
)[0]
decoded_output = tokenizer.decode(output[len(tokenized["input_ids"][0]) :])
print(decoded_output)

Usage Warnings

• Risk of Sensitive or Controversial Outputs: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.

• Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

• Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

• Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

• Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

• No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

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