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实时 19:18:15
English(EN) I ran Muse Glimmer @ 1M context - All tests passed.

Muse Glimmer 30B 模型上下文扩展到 100 万个 token,检索完美。

一位用户已成功将 Muse Glimmer 30B 模型的上下文窗口扩展到一百万个 token,大大超过了其训练的 131K 上下文长度。这是使用 YaRN 上下文扩展方法实现的,并通过了“海中捞针”测试的验证,该测试证实即使在 832K token 时也能完美检索。该模型独特的架构,仅在滑动窗口层上进行位置编码,而在全局层上不进行位置编码,被认为是其在没有性能下降的情况下处理如此扩展上下文的关键。 AI

影响 展示了扩展现有模型上下文窗口的潜力,能够执行更复杂的任务和生成长篇内容。

排序理由 用户驱动的研究,展示了现有模型的扩展上下文窗口能力。[lever_c_demoted from research: ic=1 ai=1.0]

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 →

Muse Glimmer 30B 模型上下文扩展到 100 万个 token,检索完美。

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
Tool
用户驱动的研究,展示了现有模型的扩展上下文窗口能力。[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, infra
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
58 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. r/LocalLLaMA TIER_1 English(EN) · /u/StartupTim ·

    我运行了 Muse Glimmer @ 1M 上下文 - 所有测试均通过。

    <!-- SC_OFF --><div class="md"><p>Heeeey all! I just completed some fun tests with Muse Glimmer, I thought I'd let you know. In fact, the summary below was written by Muse itself!</p> <p>I ran a 2× DGX Spark cluster and got Meta's day-old Muse Glimmer 30B running the day after re…