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English(EN) Inkling-Small is now live on Together AI.

ThinkyMachines在Together AI上发布Inkling-Small多模态模型

ThinkyMachines已发布Inkling-Small,这是一个在Together AI上可用的开放权重多模态模型。该新模型在尺寸仅为Inkling的四分之一的情况下,提供了与之相当的性能,使其适用于编码、代理和通用多模态任务。Inkling-Small拥有2760亿个总参数和120亿个活跃参数,支持文本、图像和音频的原生推理,并支持高达100万个token的上下文窗口。 AI

影响 为开发者提供更高效、开放权重的多模态模型,可能降低AI应用的成本。

排序理由 知名实验室发布新的开放权重多模态模型。[lever_c_demoted from frontier_release: ic=2 ai=1.0]

在 X — Together (inference / OSS) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

ThinkyMachines在Together AI上发布Inkling-Small多模态模型

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
知名实验室发布新的开放权重多模态模型。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
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
75 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 [2]

  1. X — Together (inference / OSS) TIER_1 (TL) · togethercompute ·

    Inkling-Small 带来了什么:

    What Inkling-Small brings: → 276B total parameters, 12B active → Native reasoning across text, image, and audio → Up to 1M context with variable thinking effort → Inkling-level Terminal-Bench 2.1 performance at about one-fifth the cost

  2. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    Inkling-Small 已在 Together AI 上线。

    Inkling-Small is now live on Together AI. @thinkymachines’ new open-weight multimodal model delivers similar performance to Inkling at one-quarter the size, built for coding, agents, and general multimodal work. 🧵 https://t.co/wW8Ode7e3N