Implementing LLM Architectures From Scratch
Read OriginalThis article summarizes a short talk about implementing LLM architectures from scratch using Python and PyTorch. It describes a practical workflow for analyzing new open-weight models by starting with a compact reference implementation, tracing architecture changes, and comparing details against model cards and config files to distinguish naming differences from actual design changes. The talk is linked, along with related resources on LLM architecture developments and a gallery.
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