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Qwen3.8-27B-Fable-Distill-FP8
vwdubb/Qwen3.8-27B-Fable-Distill-FP8
Qwen3.8-27B-Fable-Distill-FP8 is a image-text-to-text model from vwdubb. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Light tune on Qwen3.8 on some the datasets cited here, as well as a large corpus of personal (private) Fable 5 data
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.safetensors30.9 GB · 100%
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F8_E4M324.7B · 89%
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Base models
Model card
From the Hugging Face model README
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
| 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 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 <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 and Huggingface's TRL library.
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- qwen3_5
- License
- apache-2.0
- Languages
- en
- Created
- Aug 15, 2026
- Updated
- Oct 18, 2026