Gen-Verse/dLLM-RL
[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.
This project provides a comprehensive framework for post-training Diffusion Large Language Models (dLLMs) and multimodal dLLMs. It takes existing dLLM models and datasets as input, then applies specialized reinforcement learning and supervised fine-tuning techniques to produce more capable dLLMs, particularly for complex reasoning tasks like math and coding. It's designed for machine learning researchers and engineers who develop and fine-tune advanced language models.
459 stars.
Use this if you are a machine learning researcher or engineer looking to enhance the performance of existing Diffusion Large Language Models (dLLMs) on specific, challenging tasks through advanced post-training methods.
Not ideal if you are looking for an out-of-the-box LLM for general use without requiring deep customization or fine-tuning expertise.
Stars
459
Forks
37
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
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