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Thinking Machines 发布开源多模态大模型 Inkling

📅 2026-07-16 06:40 Gorden Sun 人工智能 2 分鐘 2261 字 評分: 81
Thinking Machines Inkling 开源多模态大模型 Mira Murati MoE
📌 一句话摘要 Thinking Machines 发布了 Mira Murati 团队的首个开源多模态大模型 Inkling,总参数 975B、激活 41B,支持文图音输入并提供 HuggingFace 下载链接。 📝 详细摘要 Thinking Machines 宣布其由 Mira Murati 领导的团队推出首个开源多模态大模型 Inkling。模型总参数达 975B,采用 MoE 架构激活参数为 41B,遵循 Apache 2.0 协议,支持文本、图像、音频三种模态输入,输出文本。在基准测试中,HLE 带工具得分 46.0%、SWEBench Verified 77.6%、GPQA
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@Gorden_Sun

Thinking Machines发布Inkling:Mira Murati团队的首个开源多模态大模型 975B总参数、激活41B的MoE架构,Apache 2.0协议,支持文本、图像、音频输入,输出文本。

跑分处于开源第一梯队中上游,HLE带工具46.0%、SWEBench Verified 77.6%、GPQA 87.2%,与Kimi K2.6、DeepSeek V4 Pro同档,距离闭源模型还有差距。

这是首个1T参数级别的开源多模态模型,且支持在自家Tinker平台做微调定制。

模型:huggingface.co/thinkingmachin…

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One Sentence Summary

Thinking Machines has released Inkling, the first open-source multimodal large language model from Mira Murati's team, with 975B total parameters and 41B active parameters, supporting text, image, and audio input, and providing a HuggingFace download link.

Summary

Thinking Machines announced that its team led by Mira Murati has launched Inkling, the first open-source multimodal large language model. The model has a total of 975B parameters, with 41B active parameters using MoE architecture, and is licensed under Apache 2.0. It supports text, image, and audio input, and outputs text. On benchmarks, it scores 46.0% on HLE with tools, 77.6% on SWEBench Verified, and 87.2% on GPQA, placing it in the same tier as Kimi K2.6 and DeepSeek V4 Pro, but still behind top closed-source models. The model is said to be the first open-source multimodal model at the 1T parameter scale, and can be fine-tuned on the Tinker platform. The model has been released on HuggingFace at https://huggingface.co/thinkingmachines/Inkling.

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81

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Chinese

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Thinking Machines

Inkling

Open-Source Multimodal Large Language Model

Mira Murati

MoE

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查看原文 → 發佈: 2026-07-16 06:40:45 收錄: 2026-07-16 10:00:09

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