ScaleDown 发布 3 个小模型，专注分类、提取和摘要任务
ScaleDown 出了三个干杂活的小模型：分类、提数据、做摘要，都支持 100 万 token 输入，OpenRouter 和 LangChain 就能直接调用。
ScaleDown 推出 Classify、Extract、Summarize 三款小模型，面向应用内的常规任务。三者均支持 100 万 token 输入，可处理文本和图像。Classify 按用户提供的标签路由文本并输出每个标签的概率，Extract 从文件中提取数据并以 JSON 字段加置信度分数输出，Summarize 可处理长转录稿或报告并生成最长 1000 token 的摘要。三个模型可通过 ScaleDown API、OpenRouter、Vercel AI Gateway、LiteLLM 和 LangChain 调用。
ScaleDown has launched 3 small AI models for routine in-app jobs: Classify, Extract, and Summarize.
All 3 models have a 1M-token input limit, support text or images, and are accessible through ScaleDown's API, as well as OpenRouter, Vercel AI Gateway, LiteLLM, and LangChain.
> Classify - routes text by assigning user-provided labels, including a probability for each label.
> Extract - can read files, collect the desired data, and output it as JSON fields with a high confidence score.
> Summarize - can read long transcripts or reports and generate a short summary of up to 1,000 tokens.
