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English(EN) Another Ling model comes out, same receipt, 2 weeks free to use, then open source. Chinese labs do contribute a lot to open source community

中国实验室发布Ling-3.1-flash大语言模型,上下文窗口达100万

中国实验室发布了一款新的大型语言模型Ling-3.1-flash。该模型拥有约5600亿总参数,每个token有250亿活跃参数,并支持高达100万个token的上下文窗口。它在多个领域表现强劲,在GDPVal-AA v2.1上获得1,673的Elo得分,在FrontierSWE上获得75.16分,在HealthBench Professional上获得65.35分。与之前的发布类似,该模型可免费使用两周,之后将开源。 AI

影响 为开源大语言模型的上下文窗口大小和性能树立了新的标杆。

排序理由 前沿实验室模型发布,系统卡片[lever_c 从 frontier_release 降级: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 →

中国实验室发布Ling-3.1-flash大语言模型,上下文窗口达100万

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
Significant
前沿实验室模型发布,系统卡片[lever_c 从 frontier_release 降级: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, 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
14 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/Elouakili_Flexy ·

    又一款Ling模型问世,模式相同,免费使用两周后开源。中国实验室为开源社区贡献良多

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wuboum/another_ling_model_comes_out_same_receipt_2_weeks/"> <img alt="Another Ling model comes out, same receipt, 2 weeks free to use, then open source. Chinese labs do contribute a lot to open source communi…