IFM/K2-Horizon-7B-Uno
text-generation model by IFM
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Model card & documentation
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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: This repository contains the adapter only. The base-model weights are hosted separately in IFM/K2-Horizon-7B. Selected evaluation scripts are available in scripts/k2horizon. The full evaluation suite will be released soon. The main number is the benchmark score and the subscript…
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Model overview
IFM/K2-Horizon-7B-Uno is a text-generation model repository published by IFM on Hugging Face. The source reports the peft library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- peft
- Recent downloads (30 days)
- 50,562
- Cumulative likes
- 89
- Hugging Face trending score
- 55
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-02T06:05:28.000Z
- Last modified
- 2026-09-05T18:38:05.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: IFM/K2-Horizon-7B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-19T06:35:15.920Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.