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IFM发布K2-Horizon-MoVA-36B-A4B,拥有4B活跃参数和512K上下文

IFM发布了K2-Horizon-MoVA-36B-A4B模型,这是一款稀疏专家混合(MoE)模型,采用了值混合注意力(Mixture-of-Values attention)。该模型拥有360亿参数,但每个token仅激活40亿参数,在代理和推理基准测试中取得了超越更大密集模型和MoE模型的前沿级结果。它还支持512K上下文窗口,并将公开其中间检查点、训练数据和代码。 AI

影响 这款稀疏MoE模型展示了在更少活跃参数下具有竞争力,可能影响未来高效模型架构。

排序理由 前沿实验室模型发布,附带系统卡。[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 →

IFM发布K2-Horizon-MoVA-36B-A4B,拥有4B活跃参数和512K上下文

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,附带系统卡。[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
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

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/jacek2023 ·

    IFM/K2-Horizon-MoVA-36B-A4B-GGUF · Hugging Face

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w67wso/ifmk2horizonmova36ba4bgguf_hugging_face/"> <img alt="IFM/K2-Horizon-MoVA-36B-A4B-GGUF · Hugging Face" src="https://external-preview.redd.it/-1cbwtFMI6Oa_Cdkfx8F5Ts1l4Z_sQcKUrUdcbxZwng.png?width=640&amp…