km1994/LLMsNineStoryDemonTower resource

Health v2 · maintenance only

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Adoption not part of the score

2168 stars · 205 forks observed · 2026-08-28

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

A curated Chinese-language tutorial collection ('Nine-Story Demon Tower') covering hands-on practice with open-source LLMs such as ChatGLM, LLaMA, Vicuna, and Baichuan, plus PEFT fine-tuning, LangChain, Stable Diffusion, multimodal VQA models, ASR, and TTS. It organizes guides, experience notes, and interview material for practitioners getting started with large language models.

Use cases

• learn how to run and fine-tune ChatGLM or Chinese-LLaMA locally
• find tutorials for parameter-efficient fine-tuning like QLoRA
• get started with LangChain for retrieval and knowledge extraction
• explore text-to-image and visual question answering models like MiniGPT-4
• learn speech recognition and text-to-speech with Whisper and MMS
• prepare for LLM-related interviews
• compare open-source Chinese LLM derivatives

When to choose

• you want curated Chinese-language tutorials and practical notes on open-source LLMs
• you need a broad survey of LLM, multimodal, and speech tooling in one place
• you are a beginner looking for guided entry points into the LLM ecosystem

When to avoid

• you need production-ready software rather than tutorials and links
• you require up-to-date coverage of the newest models, as the collection is a static snapshot
• you need English-language documentation

Facets

learning-resource · maturity maintenance

llm-inference llm-training rag speech-recognition tts stable-diffusion prompt-engineering large-language-models speech-processing image-processing tutorials awesome-lists python cross-platform llm-tutorials chinese-llms fine-tuning multimodal curated-list hands-on-guides natural-language-processing retrieval-augmented-generation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="km1994/LLMsNineStoryDemonTower")