Show HN: MinLlama – Llama 3.2 inference in ~100 lines of NumPy

I built minLlama because I wanted a Llama implementation that was easy to understand and hack for KV cache compression research. There is also a PyTorch and Jax version in ~140 lines.

Would be interested in feedback from people who have written transformer implementations before, are there any implementation "tricks" that I'm missing (e.g, cleaner KV cache for PyTorch/Jax or rope tricks)?


Comments URL: https://news.ycombinator.com/item?id=48641107

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