Tongyun1/from-minimind-to-more resource

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1652 stars · 89 forks observed · 2026-08-28

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

A detailed Chinese-language study guide and annotated walkthrough of the Minimind project for training a large language model from scratch, covering tokenization, Transformer architecture, and alignment algorithms like SFT, DPO, PPO, GRPO, and SPO. It also includes LLM job interview preparation materials and is actively updated.

Use cases

• learn how to train a large language model from scratch
• understand transformer architecture details like MoE, KV Cache, and Flash Attention
• study how DPO, PPO, and GRPO alignment algorithms work with source code
• prepare for LLM engineer interview questions
• read heavily annotated source code of a small LLM training project
• understand tokenizers and positional embeddings in depth

When to choose

• you want a structured, in-depth tutorial companion to the Minimind codebase
• you are preparing for LLM-related job interviews
• you learn best from annotated source code and theory explanations in Chinese

When to avoid

• you need production-ready LLM training code rather than educational notes
• you need English-language materials
• you need coverage of LoRA and distillation, which are not yet written

Facets

learning-resource · maturity active

llm-training machine-learning deep-learning documentation large-language-models deep-learning machine-learning tutorials education python llm-from-scratch minimind transformer-architecture rlhf dpo ppo grpo sft pretraining interview-preparation study-notes chinese

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