---
license: other
library_name: transformers
base_model: MiniMaxAI/MiniMax-M3
tags:
- abliterated
- uncensored
- moe
- minimax
- minimax-m3
- multimodal
- vision
- reasoning
- thinking
pipeline_tag: image-text-to-text
---
## Support & Community
**☕ If these models are useful to you, consider supporting my work — it funds compute for more & larger abliterations.**

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---
# MiniMax-M3 — Abliterated (BF16)
## Overview
This is an **abliterated** (uncensored) build of [`MiniMaxAI/MiniMax-M3`](https://huggingface.co/MiniMaxAI/MiniMax-M3) — the full **bfloat16** weights with the model's refusal behavior removed, while keeping its reasoning, multilingual, coding, and multimodal abilities intact. Legitimate safety and security-analysis engagement is preserved, as is tool use — the model simply stops reflexively refusing.
MiniMax-M3 is a large multimodal Mixture-of-Experts model with a vision tower and a built-in reasoning ("thinking") mode. The architecture, tokenizer, and chat template are unchanged, so this is a drop-in replacement for the base model.
## Usage
Serve with vLLM (a MiniMax-M3-capable build is required):
```bash
MODEL=OpenYourMind/Minimax-M3-abliterated-clean
vllm serve "$MODEL" \
--tensor-parallel-size 8 \
--block-size 128 \
--reasoning-parser minimax_m3 \
--tool-call-parser minimax_m3 \
--enable-auto-tool-choice
```
The model wraps its reasoning in ` … `; use the `minimax_m3` reasoning parser to surface it. `--block-size 128` is required for MiniMax Sparse Attention.
## Files
| File | Description |
|------|-------------|
| `model-*-of-00059.safetensors` | BF16 weights — text backbone + MoE experts + vision tower |
| `config.json`, `configuration_minimax_m3_vl.py`, `image_processor.py` | Model config + processor |
| `tokenizer*`, `merges.txt`, `chat_template.jinja`, `generation_config.json` | Tokenizer + chat template |
Total on disk: **~854 GB** (bfloat16).
## Hardware
These are full BF16 weights — plan for a multi-GPU / multi-node deployment (e.g. 8×/16× 80 GB-class accelerators), or quantize (NVFP4 / MXFP4 / FP8) to fit smaller setups. Quantized builds may follow.
## Notes
- **License**: Other (inherits from the MiniMax-M3 base license)
- **Base model**: [MiniMaxAI/MiniMax-M3](https://huggingface.co/MiniMaxAI/MiniMax-M3)
- **Modality**: text + vision (image-text-to-text) with reasoning / thinking mode
## Disclaimer
Use is the responsibility of the user. Ensure your usage complies with applicable laws, platform rules, and deployment requirements.