Hy3 LLM 集成到 llama.cpp 并支持 GGUF

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-07 13:32

Hy3 大型语言模型已发布，并通过新的拉取请求集成到 llama.cpp 项目中。早期用户报告称能够成功生成连贯的输出，并分享了特定硬件设置的性能指标。此次集成利用了 GGUF 格式，该工作归功于拉取请求作者 satindergrewal。 AI

影响通过本地部署，使新的 Hy3 模型能够更广泛地访问和进行实验。

排序理由该集群讨论了一个新 LLM 的发布及其集成到一个开源项目中，这属于研究和模型发布。 [lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群讨论了一个新 LLM 的发布及其集成到一个开源项目中，这属于研究和模型发布。 [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: model release, product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 52 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

r/LocalLLaMA TIER_1 (TL) · /u/rerri · 2026-07-07 13:32

llama.cpp: Hy3 PR + GGUFs

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