K2-Horizon-7B-Uno

Paper: Unlocking Lossless Speedups in LLMs via Discrete Diffusion
Project Page: https://s-sahoo.github.io/uno/
Code: https://github.com/ifm-ai/uno

We present K2-Horizon-7B-Uno, a diffusion-augmented LLM with two pathways in a unified architecture:

• The AR pathway uses the AR weights of the K2-Horizon-7B model.
• The diffusion pathway augments these weights with LoRA-based diffusion adapters.

This repository contains the adapter only. The base-model weights are hosted separately in IFM/K2-Horizon-7B.

Code

Selected evaluation scripts are available in scripts/k2_horizon. The full evaluation suite will be released soon.

Evaluation results

The main number is the benchmark score and the subscript is TPF. Bold marks the best score in each row. -- and N/A denote unavailable results.

Citation

If you find this model useful, please cite:

@misc{k2_horizon_7b_uno,
  title        = {K2-Horizon-7B-Uno},
  author       = {Institute of Foundation Models},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/IFM/K2-Horizon-7B-Uno}},
}