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smollm135_fairy2i_tinystories
Dominic/smollm135_fairy2i_tinystories
smollm135_fairy2i_tinystories is a text generation model from Dominic. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
SmolLM-135M model with Fairy2i packed weights (QAT), fine-tuned on TinyStories. Trained for 12k steps on 200k train stories with Fairy2i QAT (phase quantization and packing) and eval on the published validation split…
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Public
Updated Apr 15, 2026
Repo size
197 MB
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.safetensors197 MB · 100%
At a glance
- Task
- Text Generation
- License
- apache-2.0
- Access
- Public
- Created
- Apr 10, 2026
- Updated
- Apr 15, 2026
- SHA
- d4f2100d
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Base models
Model card
From the Hugging Face model README
SmolLM-135M model with Fairy2i packed weights (QAT), fine-tuned on TinyStories. Trained for 12k steps on 200k train stories with Fairy2i QAT (phase quantization and packing) and eval on the published validation split (~7.9 perplexity for the packed checkpoint).
See https://huggingface.co/Dominic/smollm135_fullprec_tinystories for comparable full precision (BF16) model.
Minimal generation steps:
GIT_LFS_SKIP_SMUDGE=1 git clone --depth 1 https://huggingface.co/Dominic/smollm135_fairy2i_tinystories
cd smollm135_fairy2i_tinystories
git clone https://github.com/PKULab1806/Fairy2i-W2.git ~/Fairy2i-W2
python generate_tinystories_fairy2i.py
The clone pulls scripts and small files only (large LFS blobs stay as pointers). The first run downloads smollm135_fairy2i_tinystories.safetensors into the Hugging Face cache (HF_HOME).
This model is only intended for generating toy story examples and comparing quantization techniques.
- Task
- Text Generation
- License
- apache-2.0
- Languages
- en
- Created
- Apr 10, 2026
- Updated
- Apr 15, 2026