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Aliyun Qvq

提供 Python 脚本,按命令行参数生成阿里云百炼 QVQ(qvq-plus/qvq-max)模型的视觉推理请求 JSON 文件,面向截图数学推理、图表分析与需要视觉证据的多步推理;未包含模型调用、鉴权流程与图像参数说明。

cinience
cinience
热度 35.62
最近更新 2026-05-11 17:39:12
分类:数据依赖:代码执行 / 第三方 API应用场景:数据处理 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add aliyun-qvq
Metadata
name
aliyun-qvq
description
Use when visual reasoning is needed with Alibaba Cloud Model Studio QVQ models, including step-by-step image reasoning, chart analysis, and visually grounded problem solving.
version
1.0.0

Category: provider

Model Studio QVQ Visual Reasoning

Validation

mkdir -p output/aliyun-qvq
python -m py_compile skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py && echo "py_compile_ok" > output/aliyun-qvq/validate.txt

Pass criteria: command exits 0 and output/alicloud-ai-multimodal-qwen-vqv/validate.txt is generated.

Critical model names

Use one of these exact model strings:

  • qvq-plus
  • qvq-max

Typical use

  • Mathematical reasoning from screenshots
  • Diagram and chart reasoning
  • Visually grounded multi-step problem solving

Quick start

python skills/ai/multimodal/aliyun-qvq/scripts/prepare_qvq_request.py \
  --output output/aliyun-qvq/request.json

Notes

  • Use skills/ai/multimodal/aliyun-qwen-vl/ for standard image understanding.
  • Use QVQ when the task explicitly needs stronger reasoning over visual evidence.

References

  • references/sources.md