ZTE-AIM/Curr-ReFT-data
Curr-ReFT-data [๐ GitHub][๐ Paper] [๐ค HF Dataset] [๐ค HF-Model: Curr-ReFT-3B] [๐ค HF-Model: Curr-ReFT-7B] Dataset Overview Curr-ReFT-data contains training data for both stages of the Curr-ReFT methodology. The proposed Curr-ReFT post-training paradigm consists of two consecutive training stages: 1. Curriculum Reinforcement Learning: Gradually increasing task difficulty through reward mechanisms that match task complexity. 2. Rejected Sample basedโฆ See the full description on the dataset page: https://huggingface.co/datasets/ZTE-AIM/Curr-ReFT-data.
| Author / organization | ZTE-AIM |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 24 March 2025 |
| Last updated at source | 17 April 2025 |
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Connected in the knowledge graph
- mradermacher/7B-Curr-ReFT-GGUFModel ยท used to train
- mradermacher/7B-Curr-ReFT-i1-GGUFModel ยท used to train
- mradermacher/3B-Curr-ReFT-GGUFModel ยท used to train
- mradermacher/3B-Curr-ReFT-i1-GGUFModel ยท used to train
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