English(EN) Aleph-Alpha/Kolibri-1 · Hugging Face - 78B parameters. 3.46B active. Up to 1M tokens of context - Apache 2.0

Aleph Alpha发布Kolibri-1，支持100万token上下文窗口

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-03 11:44

Aleph Alpha发布了Kolibri-1，一个拥有780亿参数的语言模型，其中34.6亿为活跃参数。该模型支持高达100万token的上下文窗口，并根据Apache 2.0许可证发布。此次发布包含一份详细介绍其能力的技??报告。 AI

影响此次发布提供了大上下文窗口和开源可用性，可能为复杂文档分析和长篇内容生成领域带来新应用。

排序理由 Aleph-Alpha发布了具有系统卡的Frontier-lab模型。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

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

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; Aleph-Alpha发布了具有系统卡的Frontier-lab模型。[lever_c_demoted from frontier_release: 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; 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。

r/LocalLLaMA TIER_1 English(EN) · /u/Nunki08 · 2026-10-03 11:44

Aleph-Alpha/Kolibri-1 · Hugging Face - 780亿参数。34.6亿活跃参数。高达100万token上下文 - Apache 2.0

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