---
base_model: TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2
tags:
- gguf
- llama.cpp
- unsloth
- qwen3.6
license: apache-2.0
datasets:
- TeichAI/claude-4.5-opus-high-reasoning-250x
- TeichAI/Claude-Opus-4.6-Reasoning-887x
---

# Qwen3.6 27B x Claude Opus 4.x - v2

## Benchmarks

![alt_text](Benchmark-Comparison.png)

```
Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2
         arc   arc/e boolq hswag obkqa piqa  wino
mxfp8    0.665,0.831,0.910,0.790,0.456,0.813,0.772

Qwen3.6-27B
         arc   arc/e boolq hswag obkqa piqa  wino
mxfp8    0.647,0.803,0.910,0.773,0.450,0.806,0.742
```

Provided by [@nightmedia](https://huggingface.co/nightmedia). All benchmarks were done in mxfp8 precision

## 🧬 Datasets:
  - [TeichAI/Claude-Opus-4.6-Reasoning-887x](https://huggingface.co/datasets/TeichAI/Claude-Opus-4.6-Reasoning-887x)
  - [TeichAI/claude-4.5-opus-high-reasoning-250x](https://huggingface.co/datasets/TeichAI/claude-4.5-opus-high-reasoning-250x)
 
## ⚡ Use cases

  - Coding
  - Creative Writing
  - Visual Understanding
  - General Purpose

## Citations and Contributions

- [@unsloth](https://huggingface.co/unsloth) - This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
- [@Qwen](https://huggingface.co/Qwen) - Providing a fantastic, native-multimodal base model

## Usage

If you need help setting up and configuring this model please follow [the Qwen team's instructions in the original model's README](https://huggingface.co/Qwen/Qwen3.6-27B#quickstart)