Running LLMs on a Commodore 64, a 486 DOS PC and a Nintendo Wii
Awacer · reddit · 2026-10-17
A Reddit roundup of three projects porting tiny language models to vintage hardware:
- Commodore 64: llama2.c64 runs a 260K-parameter story model in pure C, requiring at least a 2MB RAM Expansion Unit.
- DOS 486: dosllam2 uses a 32-bit DOS extender to reach memory past the DOS limit, hitting 2.08 tokens/s on a 66MHz 486 with 32MB RAM.
- Nintendo Wii: iiama2.c runs stories15M with int8 weights, repurposing the console's fixed-function texture combiner for multiply-accumulate while attention stays on CPU.
The author maintains an awesome-llm-on-anything collection documenting hardware requirements, model details and reported speeds, and is looking for more examples of unusual hardware features reused for inference.
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