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inclusionAI 发布 Ling-3.0-flash 模型,提供官方 FP8 权重

inclusionAI 已在 Hugging Face 上发布其 Ling-3.0-flash 模型,提供 BF16 和官方 FP8 版本。该模型拥有 1275 亿个总参数和 51 亿个激活参数,采用具有 512 个专家的细粒度架构。FP8 版本体积显著减小,约为 128GB,对于拥有大量统一内存或多 GPU 设置的用户来说更加易于使用。 AI

影响 推出一款新的大型语言模型,其高效的 FP8 版本可供更广泛地使用。

排序理由 Frontier-lab 模型发布,附带系统卡。[lever_c_demoted from frontier_release: ic=2 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

inclusionAI 发布 Ling-3.0-flash 模型,提供官方 FP8 权重

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
Frontier-lab 模型发布,附带系统卡。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
Source corroboration
3 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
model release
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
66 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.
Coverage growth since scoring
+1 source(s) since last score
New sources have picked up this story since our last re-score. Score will update on the next scoring pass.

完整方法见我们的编辑标准。

报道来源 [3]

  1. Hugging Face Trending Models TIER_1 English(EN) · inclusionAI ·

    inclusionAI/Ling-3.0-flash

    text-generation · 25 downloads · 77 likes

  2. r/LocalLLaMA TIER_1 English(EN) · /u/derspenti ·

    inclusionAI/Ling-3.0-flash权重已在Hugging Face上线 — 支持MIT、BF16及官方FP8

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vfdeek/inclusionailing30flash_weights_are_up_on_hugging/"> <img alt="inclusionAI/Ling-3.0-flash weights are up on Hugging Face — MIT, BF16 plus an official FP8" src="https://external-preview.redd.it/N3g5MjI3N…

  3. r/LocalLLaMA TIER_1 English(EN) · /u/-Cubie- ·

    inclusionAI/Ling-3.0-flash · Hugging Face

    <!-- SC_OFF --><div class="md"><p>The Ling-3.0-flash MoE is now open-weighted at 124B A5B params. I know the original announcements were before the Kimi K3, DeepSeek-V4-Flash and Qwen3.8 hype, but this model might still have a good niche for itself due to its sizing. </p> <p>Disc…