LLMs From Scratch Reaches 100,000 GitHub Stars
Read OriginalThe author celebrates the LLMs-from-scratch repository reaching 100,000 GitHub stars, thanking contributors and outlining future additions like new attention variants and architectures. The repo offers complete from-scratch implementations of tokenization, attention, pretraining, classification, and instruction fine-tuning, plus implementations of Llama, Qwen, Gemma, and Olmo, and alternatives like GQA, MLA, and mixture-of-experts. The author also mentions a larger applied LLM project and an upcoming Substack mega-article.
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