Create READNE.md

READNE.md

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+---
+license: other
+license_name: prism-research
+license_link: LICENSE.md
+language:
+- en
+- zh
+tags:
+- minimax
+- prism
+- moe
+- reasoning
+- coding
+- agentic
+- abliterated
+pipeline_tag: text-generation
+library_name: transformers
+base_model:
+- MiniMaxAI/MiniMax-M2.5
+base_model_relation: finetune
+---
+
+[![Parameters](https://img.shields.io/badge/Parameters-MoE-blue)]()
+[![Architecture](https://img.shields.io/badge/Architecture-MoE-green)]()
+[![Context](https://img.shields.io/badge/Context-1M+-orange)]()
+[![License](https://img.shields.io/badge/License-PRISM--Research-purple)]()
+
+
+<p align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/63adf1fa42fd3b8dbaeb0c92/shxznHWnvppRhT_yKrsdP.png" width="400"/>
+</p>
+
+
+# MiniMax-M2.5-PRISM-LITE
+
+A PRISM-LITE version of [Ex0bit/MiniMax-M2.5-PRISM-PRO](https://hf.co/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 acess reach out @ https://ko-fi.com/ex0bit.
+
+<div align="center">
+
+### ☕ Support Our Work
+
+If you enjoy our work and find it useful, please consider sponsoring or supporting us!
+
+[![Ko-fi](https://img.shields.io/badge/Ko--fi-Support%20Us-ff5e5b?logo=ko-fi&logoColor=white)](https://ko-fi.com/ex0bit)
+
+| Option | Description |
+|--------|-------------|
+| [**PRISM PRO VIP Membership**](https://ko-fi.com/summary/6bae206c-a751-4868-8dc7-f531afd1fb4c) | Access to all PRISM models |
+| **Bitcoin** | `bc1qarq2pyn4psjpcxzp2ghgwaq6y2h4e53q232x8r` |
+
+![image](https://cdn-uploads.huggingface.co/production/uploads/63adf1fa42fd3b8dbaeb0c92/Psgbl1TgyDok__C7AMQog.png)
+
+</div>
+
+---
+
+## 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](https://github.com/ggml-org/llama.cpp) and run:
+
+```bash
+~/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](https://ko-fi.com/s/0a23d1b9a5) |
+
+## License
+
+This model is released under the [PRISM Research License](LICENSE.md).
+
+The base model [MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) is released under a [Modified-MIT License](https://github.com/MiniMax-AI/MiniMax-M2.5/blob/main/LICENSE).
+
+## Acknowledgments
+
+Based on [MiniMax-M2.5](https://huggingface.co/MiniMaxAI/MiniMax-M2.5) by [MiniMax AI](https://www.minimax.io).