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Hy3 LLM integrated into llama.cpp with GGUF support

The Hy3 large language model has been released and is already being integrated into the llama.cpp project through a new pull request. Early users are reporting successful generation of coherent output, with performance metrics shared for a specific hardware setup. The integration utilizes the GGUF format, and the efforts are credited to the PR author, satindergrewal. AI

IMPACT Enables wider accessibility and experimentation with the new Hy3 model through local deployment.

RANK_REASON The cluster discusses the release of a new LLM and its integration into an open-source project, which falls under research and 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 →

Hy3 LLM integrated into llama.cpp with GGUF support

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 (TL) · /u/rerri ·

    llama.cpp: Hy3 PR + GGUFs

    <!-- SC_OFF --><div class="md"><p>Early stages as the model was just released yesterday, but seems to be working already. Yay!</p> <p>Getting coherent output from the Q2_K, at about 10-11t/s on a 5090 + Zen 4 w/ 96GB DDR5.</p> <p><a href="https://github.com/ggml-org/llama.cpp/pul…