---
license: other
license_name: prism-research
license_link: LICENSE.md
language:
- en
- zh
tags:
- glm4
- prism
- moe
pipeline_tag: text-generation
library_name: transformers
---

[![Parameters](https://img.shields.io/badge/Parameters-30B--A3B_MoE-blue)]()
[![Architecture](https://img.shields.io/badge/Architecture-GLM--4-green)]()
[![Context](https://img.shields.io/badge/Context-128K-orange)]()

# GLM-4.7-Flash-PRISM

An unrestricted version of ZAI's GLM-4.7-Flash with over-refusal mechanisms removed using PRISM (Projected Refusal Isolation via Subspace Modification).

<div align="center">

### ☕ Support Our Work

If you find this useful, consider supporting us on Ko-fi!

[![Ko-fi](https://img.shields.io/badge/Ko--fi-Support%20Us-ff5e5b?logo=ko-fi&logoColor=white)](https://ko-fi.com/ericelbaz)

| Option | Description |
|--------|-------------|
| [**PRISM VIP Membership**](https://ko-fi.com/summary/6bae206c-a751-4868-8dc7-f531afd1fb4c) | Access to all PRISM models |
| [**One-Time Support**](https://ko-fi.com/s/86882e8991) | Support this model |

</div>

---

## Model Highlights

- **PRISM Ablation** — State-of-the-art technique that removes over-refusal behaviors while preserving model capabilities
- **30B-A3B MoE Architecture** — 30 billion total parameters with ~3 billion active per token for fast, efficient inference
- **128K Context Window** — Extended context for complex tasks and large codebases
- **Interleaved Thinking** — Multi-turn reasoning that persists across conversations with per-turn thinking control

## Benchmarks

| Benchmark | Score |
|-----------|-------|
| AIME 2025 | 91.6% |
| τ²-Bench | 79.5% |
| SWE-bench Verified | 59.2% |
| GPQA | 75.2% |

## Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("Ex0bit/GLM-4.7-Flash-PRISM")
tokenizer = AutoTokenizer.from_pretrained("Ex0bit/GLM-4.7-Flash-PRISM")
```

## License

This model is released under the [PRISM Research License](LICENSE.md).