I developed my own quantized LLM from scratch, trained on 30B tokens, deploys in 60 MB [R]

I trained a 250M parameter model from scratch on 30B tokens of fineweb. It’s quantized to under 2 bits so the whole deployment is 60 MB and it needs about 80 MB of RAM to run. Runs around 400 tok/s on a normal laptop CPU, no GPU needed. How the long context works: the most recent 2048 tokens stay in