---
base_model: Qwen/Qwen3-8B-Base
library_name: ladir
pipeline_tag: text-generation
tags:
- code
- latent-reasoning
- diffusion
- flow-matching
---

# LaDiR-Code-8B

**LaDiR** (Latent Diffusion Reasoner) lets an LLM reason in a continuous latent space: a VAE compresses a reasoning
chain into 64 latent tokens, the LLM generates this latent block with flow matching, then decodes the answer
conditioned on it. This checkpoint is built on Qwen3-8B-Base for code generation.

Code: [github.com/mk322/LaDiR](https://github.com/mk322/LaDiR) · Paper: [arXiv:2510.04573](https://arxiv.org/abs/2510.04573)

```bash
git clone https://github.com/mk322/LaDiR && cd LaDiR && pip install -e .
python -m eval.generate --checkpoint mk322/LaDiR-Code-8B
```

```bibtex
@inproceedings{kang2026ladir,
  title     = {LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning},
  author    = {Kang, Haoqiang and Zhang, Yizhe and Kuang, Nikki Lijing and Majamaki, Nicklas and Jaitly, Navdeep and Ma, Yi-An and Qin, Lianhui},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2026},
  url       = {https://arxiv.org/abs/2510.04573}
}
```