MiniMax-M2.5-PRISM-LITE
A PRISM-LITE version of Ex0bit/MiniMax-M2.5-PRISM-PRO intended for role-following over-refusal and propaganda mechanisms suppression using our SOTA PRISM pipeline.
PRISM-PRO version available for purchase here: https://ko-fi.com/s/0a23d1b9a5
For Full Custom trained PRISM versions or raw tensors access reach out @ https://ko-fi.com/ex0bit.
☕ Support Our Work
If you enjoy our work and find it useful, please consider sponsoring or supporting us!
| Option | Description |
|---|---|
| PRISM PRO VIP Membership | Access to all PRISM models |
| Bitcoin | bc1qarq2pyn4psjpcxzp2ghgwaq6y2h4e53q232x8r |
Model Highlights
- PRISM Ablation — State-of-the-art technique that removes over-refusal behaviors while preserving model capabilities
- SOTA Coding Performance — 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, 76.3% on BrowseComp (with context management)
- Frontier Agentic Capabilities — Industry-leading performance in tool use, search, and complex multi-step tasks
- Efficient Reasoning — Trained with RL to reason efficiently and decompose tasks optimally, 37% faster than M2.1
- Cost-Effective — $1 for continuous operation at 100 tok/s for an hour; $0.30 at 50 tok/s
- Modified-MIT Base License — Based on MiniMax's open-weight release
Base Model Architecture
MiniMax-M2.5 is a Mixture-of-Experts (MoE) model extensively trained with reinforcement learning across hundreds of thousands of complex real-world environments.
| Specification | Value |
|---|---|
| Architecture | Sparse Mixture-of-Experts (MoE) |
| Training | Extensive RL in 200K+ real-world environments |
| Languages | 10+ (Go, C, C++, TypeScript, Rust, Kotlin, Python, Java, JavaScript, PHP, Lua, Dart, Ruby) |
| Inference Speed | 100 tok/s (Lightning) / 50 tok/s (Standard) |
| Library | transformers |
Benchmarks (Base Model)
Coding
| Benchmark | MiniMax-M2.5 | Claude Opus 4.6 | Gemini 3 Pro | GPT-5.2 |
|---|---|---|---|---|
| SWE-Bench Verified | 80.2 | 78.9 | 74.0 | 72.6 |
| Multi-SWE-Bench | 51.3 | 50.8 | — | — |
| SWE-Bench Multilingual | 55.6 | — | — | — |
| Terminal-Bench 2.0 | 51.5 | 52.1 | — | — |
Search & Tool Calling
| Benchmark | MiniMax-M2.5 | Claude Opus 4.6 | Gemini 3 Pro | GPT-5.2 |
|---|---|---|---|---|
| BrowseComp | 76.3 | 71.2 | 62.4 | 57.8 |
Reasoning & Knowledge
| Benchmark | MiniMax-M2.5 | Claude Opus 4.6 | Gemini 3 Pro | GPT-5.2 |
|---|---|---|---|---|
| AIME25 | 86.3 | 95.6 | 96.0 | 98.0 |
| GPQA-D | 85.2 | 90.0 | 91.0 | 90.0 |
| HLE w/o tools | 19.4 | 30.7 | 37.2 | 31.4 |
| SciCode | 44.4 | 52.0 | 56.0 | 52.0 |
| IFBench | 70.0 | 53.0 | 70.0 | 75.0 |
Usage
llama.cpp (GGUF)
Build the latest master of llama.cpp and run:
~/llama.cpp/build/bin/llama-cli \
-m ../outputs/MiniMax-M2.5-PRISM-PRO-[QUANT].gguf \
--jinja \
-ngl 999 \
--repeat_penalty 1.15 \
--temp 1.0 \
--top_p 0.95 \
--top_k 40
Replace
[QUANT]with your quantization level (e.g.Q8_0, etc.).
Recommended Parameters
| Use Case | Temperature | Top-P | Top-K | Repeat Penalty | Max New Tokens |
|---|---|---|---|---|---|
| Reasoning / Coding | 1.0 | 0.95 | 40 | 1.15 | 32768 |
| General Chat | 0.6 | 0.95 | 40 | 1.15 | 4096 |
| Agentic / Tool Use | 1.0 | 0.95 | 40 | 1.15 | 32768 |
| Version | Description | Access |
|---|---|---|
| PRISM-LITE | Abliterated with PRISM-LITE pipeline — removes over-refusal while preserving core capabilities | Free on Hugging Face |
| PRISM-PRO | Full PRISM-PRO ablation — Full Production Level Mode suppression of propaganda/refusal mechanisms with maximum capability retention | Ko-fi |
License
This model is released under the PRISM Research License.
The base model MiniMax-M2.5 is released under a Modified-MIT License.
Acknowledgments
Based on MiniMax-M2.5 by MiniMax AI.