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English(EN) Major Open-Weight Model Releases grouped by license and benchmarks (as of July 2026)

截至2026年7月,按许可和基准划分的开放权重LLM发布详情

对截至2026年7月发布的开放权重大型语言模型进行汇编,按其许可和基准性能对模型进行分类。值得注意的发布包括Thinking Machines Lab的Inkling(Apache 2.0许可)、DeepSeek V4 Pro、小米MiMo-V2.5-Pro和GLM-5.2(MIT许可),以及MiniMax M3和Kimi K2.7 Code(自定义或限制性许可)。 AI

影响 提供了开放权重LLM格局的快照,帮助研究人员和开发人员根据许可和性能选择模型。

排序理由 该项目是开放权重模型发布及其相关基准和许可的汇编,属于研究和模型发布类别。[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 →

截至2026年7月,按许可和基准划分的开放权重LLM发布详情

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
该项目是开放权重模型发布及其相关基准和许可的汇编,属于研究和模型发布类别。[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, other
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
68 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/Atagor ·

    主要开源模型发布情况按许可证和基准分类(截至 2026 年 7 月)

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1uxzflo/major_openweight_model_releases_grouped_by/"> <img alt="Major Open-Weight Model Releases grouped by license and benchmarks (as of July 2026)" src="https://preview.redd.it/gc7ctkz4okdh1.png?width=140&am…