Thinking Machines 的 Inkling 2 Small 上架 Ollama，支持零数据留存
Inkling 2 Small from Thinking Machines (@thinkymachines) is now on Ollama with zero data retention! ...
Thinking Machines 那594B参数的MoE模型能直接在 Ollama 一行命令跑了，还带1M上下文和零数据留存。做OCR、财报分析或搭MCP工具链的可以试试，数据不出云端这点对处理敏感文档的团队很关键。
Thinking Machines 发布的 Inkling 2 Small 现已登陆 Ollama，命令为 ollama run inkling-2-small:cloud。该模型是总参数 594B 的混合专家（MoE）架构，上下文窗口达 1M tokens，通过 Ollama Cloud 运行并承诺零数据留存。
模型能力集中在三个方向：视觉解读与生成、智能体知识工作、金融与量化推理。官方给出的具体用例包括 OCR、图像 grounding、信息图解读、视觉推理、配合 MCP 的工具调用，以及财报文件和电子表格的金融推理。
594B 的体量意味着本地设备难以直接运行，云端的零数据留存策略主要面向对数据隐私敏感的企业用户。Ollama 此前以本地开源模型托管见长，这次引入 Thinking Machines 的商用模型并强调零留存，是在向企业级推理服务延伸。
Inkling 2 Small from Thinking Machines (@thinkymachines) is now on Ollama with zero data retention! ...
Inkling 2 Small from Thinking Machines ( @thinkymachines ) is now on Ollama with zero data retention! The 594B mixture-of-experts model with 1M context window demonstrates strong visual interpretation and creation, agentic knowledge work, and finance and quantitative reasoning. Example use cases: - OCR - grounding - infographic interpretation - visual reasoning - tool calling with MCP - finance spreadsheet reasoning, filings and documents Available on Ollama Cloud with zero data retention: ollama run inkling-2-small:cloud📊 18 ⚡
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Ollama, Thinking Machines, Inkling 2 Small, MCP/工具.
Source attribution: curated from ollama (@ollama).
