Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories
๐ DMax: Aggressive Parallel Decoding for dLLMs DMax Code Training Data This dataset is used for the On-Policy Uniform Training process in DMax, as presented in the paper DMax: Aggressive Parallel Decoding for dLLMs. We construct all training data through self-distillation. Specifically, we take prompts from public datasets and use LLaDA-2.0-mini to generate responses as training targets. For code, prompts are drawn from a subset ofโฆ See the full description on the dataset page: https://huggingface.co/datasets/Zigeng/DMax-LLaDA-2.0-Mini-Code-Trajectories.
| Author / organization | Zigeng |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 132 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 8 April 2026 |
| Last updated at source | 20 April 2026 |
Popularity, last 3 days
132 now (-37 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- yresearch/DMax-Coder-MMDModel ยท used to train
- DMax: Aggressive Parallel Decoding for dLLMsPaper ยท cites
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.