PyTorch LLM Builds from Scratch + Book
💡Open-source PyTorch code + book for GPT-2/Llama/DeepSeek from scratch—ideal for LLM builders.
⚡ 30-Second TL;DR
What Changed
GPT-2 124M with OpenAI pretrained weights
Why It Matters
Empowers AI practitioners to deeply understand and replicate modern LLM architectures, bridging theory to production code. Fills gap in resources beyond basic GPT-2 implementations.
What To Do Next
Clone https://github.com/S1LV3RJ1NX/mal-code and load Llama 3.2-3B pretrained weights.
Key Points
- •GPT-2 124M with OpenAI pretrained weights
- •Llama 3.2-3B: RMSNorm, RoPE, SwiGLU, GQA swaps
- •DeepSeek: Multi-Head Latent Attention, MoE, Multi-Token Prediction, FP8
- •KV cache, MQA, GQA mechanics detailed
- •GitHub: https://github.com/S1LV3RJ1NX/mal-code; Book: https://leanpub.com/adventures-with-llms
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