---
license: apache-2.0
tags:
  - prime-rl
  - moe
  - test-model
library_name: transformers
---

<div align="center">
  <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/61e020e4a343274bb132e138/H2mcdPRWtl4iKLd-OYYBc.jpeg" width="200"/>
</div>

# minimax-m2-tiny

A small (~252M parameter) MiniMax M2 MoE model for testing only. It is generally compatible with vLLM and HuggingFace Transformers but is meant to be used with [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl).

This model has random weights (no SFT warmup yet due to a chat template tokenization issue with MiniMax's tokenizer).

## Quick Start

```bash
uv run rl @ configs/ci/integration/rl_moe/minimax_m2.toml
```

See the [Testing MoE at Small Scale](https://github.com/PrimeIntellect-ai/prime-rl/blob/main/docs/testing-moe-at-small-scale.md) guide for full instructions.

## Model Details

| Parameter | Value |
|-----------|-------|
| Hidden size | 512 |
| Layers | 12 |
| Experts | 8 |
| Active experts | 4 |
| Parameters | ~252M |

## Links

- [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl) - RL training framework
- [PrimeIntellect](https://www.primeintellect.ai/) - Building infrastructure for decentralized AI