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socius/Smoltaur-1.7B-LoRA-r16-f0.0625

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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<div align="center"> <img src="Smoltaur-1.7B-LoRA-r16-f0.0625.png" alt="Smoltaur-1.7B-LoRA-r16-f0.0625" width="1000">

![Hugging Face](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B)

![socius](https://huggingface.co/collections/socius/smoltaur-17b-lora-6a6449c3be463e9bab33c44f) ![Paper](https://arxiv.org/abs/2608.05224) ![Parameters](https://huggingface.co/socius/Smoltaur-1.7B-LoRA-r16-f0.0625) ![LoRA](https://huggingface.co/socius/Smoltaur-1.7B-LoRA-r16-f0.0625) ![Dataset](https://huggingface.co/datasets/marcelbinz/Psych-101) ![Data fraction](https://huggingface.co/datasets/marcelbinz/Psych-101) </div>

Smoltaur-1.7B-LoRA-r16-f0.0625

LoRA adapter for Smoltaur-1.7B, fine-tuned on a stratified 6.25% subset of Psych-101 as part of the LoRA-rank sweep and dataset-size ablation for Small Foundation Models of Human Cognition and Behaviour.

fieldvalue
base modelunsloth/SmolLM2-1.7B
LoRA rank16 (alpha = rank, rsLoRA)
data fraction6.25% of Psych-101
training1 epoch, completion-only loss, seed 3407

Load with PEFT on top of unsloth/SmolLM2-1.7B, or evaluate with the project's eval_model.py --backend unsloth.