In r/LocalLLaMA, a builder demonstrates extreme small model deployment by running a TinyStories Llama 2 architecture checkpoint on vintage hardware, highlighting how tiny checkpoints and careful toolchains enable local inference.
I technically got an LLM running locally on a 1998 iMac G3 with 32 MB of RAM
Model: Andrej Karpathy’s 260K TinyStories (Llama 2 architecture). ~1 MB checkpoint.
Endian-swapped model + tokenizer from little-endian to big-endian for PowerPC
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