Model ID
tencent/Hy3
Capabilities
Hy3
Hy3 is a Mixture-of-Experts (MoE) language model designed for advanced reasoning, coding, agentic workflows, and long-context processing. It features 295B total parameters with 21B activated, using an 80-layer transformer with 4,096 hidden size and 64 attention heads. The architecture includes 192 routed experts with top-8 routing alongside a shared expert, plus a Multi-Token Prediction layer for faster generation. Supporting up to a 256K context window, it is optimized for reliable tool use, complex multi-turn interactions, and high-throughput production inference.
About this model
Hy3 is a Mixture-of-Experts (MoE) language model designed for advanced reasoning, coding, agentic workflows, and long-context processing. It features 295B total parameters with 21B activated, using an 80-layer transformer with 4,096 hidden size and 64 attention heads. The architecture includes 192 routed experts with top-8 routing alongside a shared expert, plus a Multi-Token Prediction layer for faster generation. Supporting up to a 256K context window, it is optimized for reliable tool use, complex multi-turn interactions, and high-throughput production inference.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (tencent/Hy3). 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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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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