English(EN) Appreciation for Gemma 4 26b A4b

Gemma 4：26b 模型因本地性能和德语能力而受到赞扬

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-28 17:52

r/LocalLLaMA 上的一位用户对 Gemma 4: 26b 模型表示高度赞赏，强调了其在同等规模和速度下的出色表现。该模型在写作能力、富有灵魂的个性以及强大的知识库方面受到称赞，尤其是在德语方面。尽管在智能体或编码性能方面未能与 Qwen 匹敌，但它被认为足以满足本地使用需求，并且在旧硬件上以 10-23 tokens/s 的速度运行，表现出人意料地强大。 AI

影响突出了小型、可本地运行的模型在特定任务和语言方面的能力。

排序理由用户对特定模型的赞赏帖子，而非主要发布或重要的行业事件。

在 r/LocalLLaMA 阅读 →

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: Commentary; 用户对特定模型的赞赏帖子，而非主要发布或重要的行业事件。
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: 71 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。

报道来源 [1]

r/LocalLLaMA TIER_1 English(EN) · /u/dampflokfreund · 2026-07-28 17:52

赞赏 Gemma 4 26b A4b

<div class="md"><p>I really love this model, I have been using the q4_k_l by Bartowski (I have heard QAT is quite the downgrade in some aspects) and it handles every task I throw at it easily. Agentic and coding performance is not as good as Qwen of course but good…

本文如何被排名

报道来源 [1]

赞赏 Gemma 4 26b A4b

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