跳到正文
ModelScope· @ModelScope2022 · X·· 2 小时前AI 评分54
AI 导读

ModelScope 发布 27B 多模态决策模型 d3-turbo,单题上下文最高 128K(默认 32K,长上下文模式开启后 128K)。

正文 · 原文

Introducing d3-turbo, a 27B multimodal decision model with up to 128K context per question.
🤖 https://modelscope.ai/models/vllm-sr/d3-turbo

⚡ 15.5× faster for 255 questions: In the team’s local test on one image, d3-turbo takes 2.12 seconds versus 32.94 seconds for d3-flash.
🎯 Make structured decisions: Returns choices, yes/no answers, and scores without generating text. Images can also be included in individual questions or options.
📍 Locate and track: Finds objects in images or video frames and tracks targets across a video.
📊 Stronger text decisions: Scores 71.7 on the public Jev Decision Index suite, compared with 65.5 for d3 in the team’s evaluation.
🧩 Up to 128K context per question: Supports 32K by default and 128K with long-context mode enabled.
📜 Apache 2.0.

来源:ModelScope · x.com