IFM 发布 K2-Horizon-7B 扩散增强 LLM，速度达 5200 tps

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-17 18:43

IFM 发布了 K2-Horizon-7B，这是一款扩散增强的大型语言模型，在不损失质量的情况下，速度可达每秒 5200 个 token。该模型采用了因果 LLM 架构，并在其自回归权重中集成了即插即用的扩散适配器。 AI

影响该模型在不损失质量的情况下实现的高 token/秒速率，可能会显著提高各种 LLM 应用的推理速度。

排序理由该条目描述了一个具有技术细节和性能声明的新模型发布，符合研究类别。[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: 8 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目描述了一个具有技术细节和性能声明的新模型发布，符合研究类别。[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; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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r/LocalLLaMA TIER_1 English(EN) · /u/Zulfiqaar · 2026-09-17 18:43

IFM/K2-Horizon-7B-Uno · Hugging Face - 5200tps 且无质量损失

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wj2hsm/ifmk2horizon7buno_hugging_face_5200tps_with_no/"> <img alt="IFM/K2-Horizon-7B-Uno · Hugging Face - 5200tps with no quality loss" src="https://external-preview.redd.it/u8KmcQm9yKBYzFJrQ9bYpNH7qJxDHb7WLD…