I developed my own quantized LLM from scratch, trained on 30B tokens, deploys in 60 MB
2.55T2 sourcer/LocalLLaMA
r/LocalLLaMAoriginal source ↗
Source record
Published by r/LocalLLaMA (T2 source). The original is at https://www.reddit.com/r/LocalLLaMA/comments/1vwt6m7/i_developed_my_own_quantized_llm_from_scratch/.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryA Reddit user on r/LocalLLaMA claims to have built a quantized language model from scratch, trained on 30 billion tokens, with a deployment footprint of 60 MB.
Why it mattersA sub-100MB custom model could shift what runs locally on phones, SBCs, and embedded hardware, worth a look for the footprint claim alone.
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