1.0 KiB
1.0 KiB
license, base_model, library_name, pipeline_tag, tags
| license | base_model | library_name | pipeline_tag | tags | ||||
|---|---|---|---|---|---|---|---|---|
| mit | meta-llama/Llama-3.2-3B-Instruct | transformers | text-generation |
|
gsm-cot-llama3b-nl
Natural-language chain-of-thought SFT checkpoint, fine-tuned from meta-llama/Llama-3.2-3B-Instruct
on GSM8k-Aug with natural-language reasoning steps. From the paper
Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers.
This is the Stage-1 CoT initialization for the natural-language LOTUS model
(yingfanbot/gsm-lotus-llama3b-nl).
It is a standard causal LM — load with from_pretrained and generate the CoT directly (no wrapper needed).
Citation
@article{fan2026bridging,
title={Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers},
author={Fan, Ying and Svete, Anej and Lee, Kangwook},
journal={arXiv preprint arXiv:2606.31779},
year={2026}
}