Trained a 1.5B to write shell commands so I'd stop googling tar flags. Runs on a laptop CPU in ~1 sec.
2.40T2 sourcer/LocalLLaMA
r/LocalLLaMAoriginal source ↗
Source record
Published by r/LocalLLaMA (T2 source). The original is at https://www.reddit.com/r/LocalLLaMA/comments/1vnl0um/trained_a_15b_to_write_shell_commands_so_id_stop/.
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 user reports training a 1.5B parameter model to generate shell commands, aimed at avoiding repeated lookups of flags like tar. The model runs on a laptop CPU in roughly one second per query.
Why it mattersConcrete example of a small fine-tuned model replacing a recurring lookup workflow — a pattern readers can replicate for their own command-line pain points.
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