armand0e/claude-fable-5-claude-code
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How to use TeichAI/Qwen3.8-27B-Fable-Distill-LoRA with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("TeichAI/Qwen3.8-27B-Fable-Distill-LoRA", device_map="auto")| 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
Trained on a bunch of personal data, as well as the 2 datasets cited on the repo.
The data for this model was easily formatted, validated, and masked using Teich ![]()
This qwen3_5 model was trained 2x faster with Unsloth and Huggingface's TRL library.