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English(EN) Ripple-65B Is an Open Coder With 1M Context. Its DGX Spark Script Stops at 128K

Ricursive Intelligence 发布 Ripple-65B,拥有 1M 上下文,基准测试结果好坏参半

Ricursive Intelligence 发布了 Ripple-65B Preview,这是一个在 12 万亿 token 上训练的 650 亿参数密集模型。该模型的权重在 Hugging Face 上以 Apache 2.0 许可证提供。虽然 Ricursive 声称在 Terminal-Bench 2.1 等基准测试中表现强劲,但独立评估显示与其他大型模型相比,结果好坏参半。该模型支持高达 100 万个 token 的上下文窗口,但实际限制因推理设置而异,其 DGX Spark 脚本上限为 131,072 个 token。 AI

影响 提供了一个具有大上下文窗口的新型密集模型选项,可能影响特定 AI 应用的成本效益权衡。

排序理由 新模型发布,来自一个声称性能有所提升且具有大上下文窗口的实验室。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

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

Ricursive Intelligence 发布 Ripple-65B,拥有 1M 上下文,基准测试结果好坏参半

本文如何被排名

Signal score
35 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
新模型发布,来自一个声称性能有所提升且具有大上下文窗口的实验室。[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, 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
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Gabriel Anhaia ·

    Ripple-65B 是一个具有 1M 上下文的开源代码模型。其 DGX Spark 脚本在 128K 处停止

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