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GitHub Open Source Repositories

Search: LLMs-from-Scratch

Page 1

Showing 10 results from 106

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rasbt/LLMs-from-scratch

GitHub Jupyter Notebook Other

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

★ 96,655 Forks 14,783 rasbt Updated 04 Jun 2026
M

jingyaogong/minimind

GitHub Python Apache License 2.0

🧠「大模型」2小时完全从0训练64M的小参数LLM!Train a 64M-parameter LLM from scratch in just 2h!

★ 51,130 Forks 6,561 jingyaogong Updated 04 Jun 2026
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nashsu/llm_wiki

GitHub TypeScript Other

LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。

★ 10,435 Forks 1,295 nashsu Updated 04 Jun 2026
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ashishps1/learn-ai-engineering

GitHub GNU General Public License v3.0

Learn AI and LLMs from scratch using free resources

★ 5,670 Forks 1,395 ashishps1 Updated 04 Jun 2026
R

rasbt/reasoning-from-scratch

GitHub Jupyter Notebook Apache License 2.0

Implement a reasoning LLM in PyTorch from scratch, step by step

★ 4,439 Forks 649 rasbt Updated 04 Jun 2026
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datawhalechina/llms-from-scratch-cn

GitHub Jupyter Notebook Other

仅需Python基础,从0构建大语言模型;从0逐步构建GLM4\Llama3\RWKV6, 深入理解大模型原理

★ 4,193 Forks 576 datawhalechina Updated 04 Jun 2026
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MLNLP-World/LLMs-from-scratch-CN

GitHub Jupyter Notebook Other

LLMs-from-scratch项目中文翻译

★ 2,665 Forks 439 MLNLP-World Updated 04 Jun 2026
H

raiyanyahya/how-to-train-your-gpt

GitHub Jupyter Notebook MIT License

Build a modern LLM from scratch. Every line commented. Explained like we are five.

★ 2,198 Forks 283 raiyanyahya Updated 04 Jun 2026
R

pguso/rag-from-scratch

GitHub JavaScript MIT License

Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

★ 1,446 Forks 173 pguso Updated 04 Jun 2026
T

tonbistudio/turboquant-pytorch

GitHub Python MIT License

From-scratch PyTorch implementation of Google's TurboQuant (ICLR 2026) for LLM KV cache compression. 5x compression at 3-bit with 99.5% attention fidelity.

★ 1,010 Forks 138 tonbistudio Updated 02 Jun 2026
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Showing first 106 accessible GitHub results.