---
base_model: Qwen/Qwen3.8-27B
tags:
- text-generation-inference
- transformers
- unsloth
- qwen3_5
license: apache-2.0
language:
- en
datasets:
- armand0e/claude-fable-5-claude-code
- armand0e/Fable-5-Chat
---

# Qwen 3.8 Fable 5 Distill

Light tune on Qwen3.8 on some the datasets cited here, as well as a large corpus of personal (private) Fable 5 data

![Benchmark Comparison](https://cdn-uploads.huggingface.co/production/uploads/66bcb202eb4f43ee8aa6bbfb/Am5yJ9yuoQgC44i7MAQtD.png)

| Model | ARC Challenge | ARC Challenge (Easy) | BoolQ |
|---|---|---|---|
| Qwen3.8-27B | 0.591 | 0.782 | 0.896 |
| Qwen3.8-27B-Fable-Distill | 0.637 | 0.832 | 0.911 |

As always, big thank you to [@nightmedia](https://huggingface.co/nightmedia) for the benchmarks

## Notes
- The model accepts enable_thinking and a reasoning_effort of low, medium or xhigh (the template's own default is xhigh, which thinks at length every turn).
- Base model sampling recommendations: temperature 1.0, top_p 0.95, top_k 20.

---
The data for this model was easily formatted, validated, and masked using [Teich](https://github.com/TeichAI/teich) <img src="https://cdn-avatars.huggingface.co/v1/production/uploads/6837935ac3b7ffe0d2559ce9/-AxyvV4wfUY8uo87kNKkK.png" width="20" height="20" style="display: inline-block; vertical-align: middle; margin: 0 3px;">

This qwen3_5 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.