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English(EN) 😲 OMG, # Qwen3 .8-Flash-Next-oQ4e-mtp on oMLX is the first local model I could run on my M3 Max 64 GB that could tackle my benchmark for # ComputerUse with cust

Qwen3.8-Flash-Next-oQ4e-mtp 模型在 Apple M3 Max 上本地运行,给用户留下深刻印象

一位 Mastodon 用户分享了他在 Apple M3 Max 芯片上本地运行 Qwen3.8-Flash-Next-oQ4e-mtp 模型的体验。尽管由于只能卸载模型 50% 的专家而导致性能缓慢,但用户对其成功完成计算机使用基准测试(带自定义 GUI 和 harness)感到印象深刻,得分 23 分(满分 25 分)。该模型被指出是用户能够运行的第一个能够处理此特定基准测试的本地模型。 AI

影响 展示了本地 LLM 在消费级硬件上日益增长的能力,可能支持更广泛的应用场景。

排序理由 关于在消费级硬件上本地运行特定模型的用户体验报告。

在 Mastodon — mastodon.social 阅读 →

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

Qwen3.8-Flash-Next-oQ4e-mtp 模型在 Apple M3 Max 上本地运行,给用户留下深刻印象

本文如何被排名

Signal score
12 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
关于在消费级硬件上本地运行特定模型的用户体验报告。
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
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。

报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · chikim ·

    😲 OMG,oMLX上的Qwen3.8-Flash-Next-oQ4e-mtp是我能在我的M3 Max 64 GB上运行的第一个能够处理我的#ComputerUse基准测试的本地模型,具有自定义

    😲 OMG, # Qwen3 .8-Flash-Next-oQ4e-mtp on oMLX is the first local model I could run on my M3 Max 64 GB that could tackle my benchmark for # ComputerUse with custom GUI and custom harness. It scored 23/25! It's very slow on my machine, with prompt processing at 201.3 tok/s and toke…