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Tencent's HY3 model shows strong performance, doubling token generation speed

Tencent has released its HY3 model, a 295 billion parameter Mixture-of-Experts model that reportedly matches or exceeds the performance of models five times its active size. Early user benchmarks on a 128GB system indicate that HY3 offers double the token generation speed of DeepSeek V4 Flash with comparable or better output quality. The model required specific integration with llama.cpp via a pull request and adjustments to system GPU memory limits for optimal performance. AI

IMPACT Offers a new high-performance open-source model option, potentially improving local LLM deployment efficiency.

RANK_REASON User benchmark and performance report of an open-source model release. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tencent's HY3 model shows strong performance, doubling token generation speed

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/returnity ·

    Tencent-HY3 is the real deal on 128GB!

    <!-- SC_OFF --><div class="md"><p>I'm <em>really</em> impressed with HY3. If you haven't heard of this model, it's a new 295B-A21B MoE release from Tencent that <a href="https://the-decoder.com/tencent-releases-hy3-open-source-model-that-allegedly-matches-models-up-to-five-times-…