---
title: Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF
canonical_url: "https://www.modelscope.cn/models/TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF"
md_url: "https://www.modelscope.cn/models/TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF.md"
repository: TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF
last_updated: 2026-04-29
license: apache-2.0
base_model:
  - TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2
base_model_relation: quantized
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
downloads: 1883
stars: 2
tags:
  - gguf
  - llama.cpp
  - unsloth
  - qwen3.6
---

# Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF

> Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF - TeichAI 在 ModelScope 开源的模型。Qwen3.6 27B x Claude Opus 4.x - v2

TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF 是 ModelScope 魔搭社区上的机器学习模型，采用 apache-2.0 许可，基于 TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2 构建。

- **Repository**: TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF
- **License**: apache-2.0
- **Base model**: TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2
- **Tags**: gguf, llama.cpp, unsloth, qwen3.6
- **Downloads**: 1883
- **Stars**: 2
- **Last updated**: 2026-04-29

Source: https://www.modelscope.cn/models/TeichAI/Qwen3.6-27B-Claude-Opus-Reasoning-Distill-v2-GGUF

---

# 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)