jingyaogong/minimind
從零訓練64M參數LLM的開源教學專案,2小時可完成SFT。 🧠 Train a 64M-parameter LLM from scratch in just 2h!
artificial-intelligencelarge-language-model
AI 推薦理由 Why AI picked it
完整覆蓋預訓練、SFT、LoRA、RLHF、MoE、多模態等流程,且核心程式碼用PyTorch原生實作,適合學習LLM內部機制。README提供詳細模型列表、資料集、訓練腳本與第三方框架相容性,文件完整度高。只需單張消費級GPU即可復現,上手成本低。 Covers pretraining, SFT, LoRA, RLHF, MoE, and multimodal pipelines with PyTorch-native implementations, ideal for learning LLM internals. README provides detailed model lists, datasets, training scripts, and third-party compatibility, with high documentation completeness. Runs on a single consumer GPU, lowering onboarding cost.
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