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English(EN) So, Unsloth Studeo, same laptop as Ollama, Gemma4:e4B: (technically gemma-4-E4B-it-qat-GGUF · UD-Q4_K_XL) Message timing 111.3 tok/s. Tokens per second. This is

Unsloth Studeo 使用 Gemma4:e4B 模型实现 111.3 tokens/sec

Unsloth Studeo 在笔记本电脑上运行,使用 Gemma4:e4B 模型实现了每秒 111.3 个 token 的消息计时。用户称这个以每秒 token 数衡量的性能指标“很疯狂”,并指出该网页应用程序缺乏自动语音回复是一个缺点,但对可能编写解决方案表示乐观。 AI

影响 展示了本地 AI 模型执行的具体性能基准。

排序理由 用户报告了特定模型和软件组合的性能指标。

在 Mastodon — fosstodon.org 阅读 →

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

Unsloth Studeo 使用 Gemma4:e4B 模型实现 111.3 tokens/sec

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Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
用户报告了特定模型和软件组合的性能指标。
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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
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Clearly on-topic for AI-industry coverage.
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99 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]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Unsloth Studeo,与 Ollama 相同的笔记本电脑,Gemma4:e4B: (技术上是 gemma-4-E4B-it-qat-GGUF · UD-Q4_K_XL) 消息时间 111.3 tok/s。每秒 token 数。这是

    So, Unsloth Studeo, same laptop as Ollama, Gemma4:e4B: (technically gemma-4-E4B-it-qat-GGUF · UD-Q4_K_XL) Message timing 111.3 tok/s. Tokens per second. This is just plain crazy. I mean, the web app doesn't automatically speak responses, which sucks, but like I may be able to vib…