Model ID
tencent/Hy4-preview
Capabilities
Hy4 Preview
Hy4 preview is a flagship Mixture-of-Experts model designed for advanced reasoning, coding, agentic workflows, and efficient long-context processing. It features 770B total parameters with 49B activated per token, using 78 layers with 6,144 hidden size and 64 attention heads. The architecture combines Gated DeepSeek Sparse Attention with IndexCache, 256 routed experts and 1 shared expert, activating 8 routed experts per token, while iHC expands residual information flow across 4 streams. It includes a native Multi-Token Prediction layer for speculative decoding and supports up to a 1M-token context window.
About this model
Hy4 preview is a flagship Mixture-of-Experts model designed for advanced reasoning, coding, agentic workflows, and efficient long-context processing. It features 770B total parameters with 49B activated per token, using 78 layers with 6,144 hidden size and 64 attention heads. The architecture combines Gated DeepSeek Sparse Attention with IndexCache, 256 routed experts and 1 shared expert, activating 8 routed experts per token, while iHC expands residual information flow across 4 streams. It includes a native Multi-Token Prediction layer for speculative decoding and supports up to a 1M-token context window.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (tencent/Hy4-preview). Released under Apache 2.0. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Requires vllm/vllm-openai:hy4-preview or any standard vLLM image v0.29.0+ to support this model configuration.
Performance under load
Tokens/s (total)
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.
NVIDIA HGX B200
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