TokenRhythm 发布 NeoHorse-1-9B 以实现递归自我改进

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-05 10:59

TokenRhythm 发布了 NeoHorse-1-9B，这是一个拥有 90 亿参数的因果语言模型。该模型是递归自我改进的初始原型，基于 Qwen3.5-9B 构建，并针对代理任务、工具使用、编码和指令遵循进行了微调。该版本提供了将 NeoHorse-1-9B 与各种库和推理提供商集成的说明，包括 Hugging Face Transformers、vLLM 和 SGLang，并提供了 Docker 部署选项。 AI

影响促进代理 AI 和递归自我改进领域的进一步研究和开发。

排序理由来自知名开发者（TokenRhythm）的模型发布，包含技术细节和集成说明。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 Hugging Face Trending Models 阅读 →

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: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Significant; 来自知名开发者（TokenRhythm）的模型发布，包含技术细节和集成说明。[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: 40 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]

Hugging Face Trending Models TIER_1 Norsk(NO) · TokenRhythm · 2026-09-05 10:59

TokenRhythm/NeoHorse-1-9B

text-generation · 9,856 downloads · 783 likes

本文如何被排名

报道来源 [1]

TokenRhythm/NeoHorse-1-9B

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