IFM/K2-Horizon-MoVA-36B-A4B — new model trending #15 on Hugging Face
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.
- 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.
- Vendors
- IFM
- Organizations
- IFMHugging Face
- AI models
- K2-Horizon-MoVA-36B-A4B
From the original article
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By IFM · huggingface.co
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