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modelscope/ms-cookbook

魔搭紫皮书｜ModelScope Cookbook：面向开发者的开源模型应用实战指南，覆盖模型选型、推理、微调、评测、RAG、Agent 与 AIGC，从跑通第一个模型到构建实际应用。

★ 123▲ +27 / 7dDaily star increases over 14 days. Hollow bars mean no data. The last day may be partial.2026-09-04 no data2026-09-05 no data2026-09-06 no data2026-09-07 no data2026-09-08 no data2026-09-09 no data2026-09-10 no data2026-09-11 no data2026-09-12 no data2026-09-13 no data2026-09-14 no data2026-09-15 no data2026-09-16 +142026-09-17 +13largest one-day increase in the 14 days+14last 14 days · stars per dayhollow = no data

NEW

RANKS Rising 7d #65

AT A GLANCE

LANGUAGE
HTML
LICENSE
Apache-2.0
USAGE
Commercial use, redistribution OK. Keep notices; mark changes.
ACTIVITY
last commit 1 day ago ()
TOPICS
  • ai-agents
  • cookbook
  • diffusion-models
  • fine-tuning
  • generative-ai
  • llm
  • mcp
  • model-evaluation
  • modelscope
  • rag
HOMEPAGE
https://modelscope.cn/active/ms-cookbook
REPOSITORY
GitHub ↗
CATEGORY
AI

A summary, not legal advice.

README EXCERPT

English · 简体中文 ModelScope Cookbook From open-source models to practical AI applications. 魔搭紫皮书 · Choose a model. Run it. Adapt it. Build with it. Overview · Start reading · Learning paths · Chapter guide · Community · Contribute --- Overview ModelScope Cookbook is a hands-on, open-source guide to using open-source AI models in real applications. It brings model selection, inference, data preparation, fine-tuning, evaluation, and application development into one structured learning resource. A useful model application starts with practical decisions: which model fits the task, what hardware it needs, how to adapt it to your data, and how to judge the result. The cookbook connects these decisions to runnable examples, using tools such as EvalScope, ms-swift, DiffSynth, and Ollama , alongside RAG and Agent workflows. The goal is to help developers move from a first successful inference to applications they can reproduce, evaluate, and improve. Examples cover enterprise knowledge Q&A, speech assistants, customer-service quality analysis, fitness coaching, and product-image creation. 8 parts · 34 chapters · 33 available to read Start reading Read online on ModelScope → No installation i…

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TIMELINE

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