hulianyuyy/CoLT_Train_Dataset
CoLT Training Data This repository contains the training data for CoLT, a latent reasoning model without relying on auxiliary image annotations. It could notably reduce the inference time by 10.3× and text decoding time by 20.4×, achieving superior efficiency. Code: https://github.com/hulianyuyy/CoLT Our training data is built from OneThinker, an all-in-one reasoning model for image and video, as presented in the paper OneThinker: All-in-one Reasoning Model for Image and Video.… See the full description on the dataset page: https://huggingface.co/datasets/hulianyuyy/CoLT_Train_Dataset.
| Author / organization | hulianyuyy |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 130 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 29 June 2026 |
| Last updated at source | 1 July 2026 |
Connected in the knowledge graph
- hulianyuyy/CoLT-8BModel · used to train
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.