K2 Horizon MoVA 36B A4B is a sparse Mixture-of-Experts model designed for agentic workflows, reasoning, coding, and efficient long-context inference. It features 36B total parameters with 4B activated per token, using a 48-layer architecture with 2,560 hidden size, 32 attention heads, and 8 KV heads. The architecture combines Mixture-of-Values Attention with 100 routed experts, 8 activated per token, 1 shared expert, and 64 MoVA experts with 4 selected per token. Supporting a native 512K-token context, it uses SiLU-activated 6,144-dimensional feed-forward layers for efficient high-capability inference.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (IFM/K2-Horizon-MoVA-36B-A4B). Released under Apache 2.0. Further reading: Blog
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1,440 GB
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Requires vllm/vllm-openai:nightly or any standard vLLM image v0.30.0+ to support this model configuration.
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.