InternLM/Tutorial resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1972 stars · 1469 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A hands-on tutorial repository for the InternLM large language model ecosystem, structured as a multi-level challenge camp with tasks, docs, and videos. It covers Linux/Python/Git basics, LLM demos, prompt engineering, RAG with LlamaIndex, fine-tuning with XTuner, evaluation with OpenCompass, agent building with Lagent, deployment with LMDeploy, and multimodal InternVL.

Use cases

• learn how to run InternLM on 8GB GPU
• practice RAG with LlamaIndex and InternLM
• fine-tune an LLM with XTuner
• evaluate LLMs with OpenCompass
• deploy quantized LLMs with LMDeploy
• build custom AI agents with Lagent
• deploy multimodal InternVL models
• learn Linux, Python, and Git basics for AI work

When to choose

• you want structured hands-on exercises for the InternLM ecosystem
• you are a beginner learning LLM deployment, fine-tuning, and RAG
• you prefer tutorial content with tasks, docs, and videos

When to avoid

• you need production-ready software rather than learning material
• you use models or toolchains outside the InternLM ecosystem
• you need a licensed or formally maintained library

Facets

learning-resource · maturity active

llm-inference rag prompt-engineering machine-learning llm-training large-language-models tutorials artificial-intelligence education deep-learning python internlm tutorial hands-on-camp fine-tuning model-deployment multimodal agents opencompass xtuner lmdeploy linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="InternLM/Tutorial")