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IFM/K2-Horizon-MoVA-36B-A4B — new model trending #15 on Hugging Face

Hugging Face trending modelsby IFM ()3 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

IFM released K2-Horizon-MoVA-36B-A4B, an open-weights 36B-parameter MoE model with 4B active parameters and native 512K context.

IFM released the final checkpoint of K2-Horizon-MoVA-36B-A4B, a sparse Mixture-of-Experts model using Mixture-of-Values (MoVA) attention with 36B total and 4B active parameters. The model supports native 524,288-token context and reportedly outscores open-weight dense and MoE models up to 15x its size on agentic and reasoning benchmarks, while competing against closed frontier models. Intermediate checkpoints, training data, the training recipe, and training code are slated for public release.

Key facts
  • Uses Mixture-of-Values (MoVA) attention; described as the sparse member of the K2-Horizon family.
  • Native 512K-token context maintained from midtraining stages onward.
  • Claims frontier-class agentic and reasoning results at only 4B active parameters.
  • Fully open release: data, recipe, and training code to be published.
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From the original article

3 min read at huggingface.co

text-generation · 3,205 downloads · 224 likes · license apache-2. 0

Hugging Face trending models

By IFM · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.