LFM2.5-24B-A2B 模型因在消费级硬件上的速度和能力而受到赞扬

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-14 23:31

一位Reddit用户称赞LFM2.5-24B-A2B模型在消费级硬件上实现了速度和能力的平衡。该模型被描述为一个任务执行器，尤其在与Hermes配对处理低到中等复杂度的任务时非常有效。用户指出，在集成GPU上实现了约37个token/秒的惊人速度，并表示其性能优于其他能够成功完成任务的模型。 AI

影响强调了一个在硬件有限的用户中平衡速度和能力的模型。

排序理由用户对特定开源模型的评论，而非前沿发布。

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: 10 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 用户对特定开源模型的评论，而非前沿发布。
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.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

r/LocalLLaMA TIER_1 English(EN) · /u/jeremyckahn · 2026-11-14 23:31

LFM2.5-24B-A2B + Hermes 太棒了！

<div class="md"><p>I just wanted to share some love for a model that doesn't seem to get very much: LFM2.5-24B-A2B! (<a href="https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-GGUF">https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-GGUF</a>)</p> <p>LFM2.5-24B-A2B seems t…