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[ARTICLE · art-145477] src=dirac.run ↗ pub= topic=large-language-models verified=true sentiment=↑ positive

Show HN: I finetuned 1.5B Qwen to near GPT-4o level bash generation perf

A developer released ec-1.5b-gguf and ec-0.6b-gguf, two finetuned Qwen models, along with the full synthetic training dataset at huggingface.co/datasets/dirac-run/ec-training-data and a CLI at github.com/dirac-run/ec, claiming the 1.5B model reaches near GPT-4o-level bash generation performance. The project was built as a hobby side project using mostly automated training pipelines, and the developer says the data may be freely used for training.

read1 min views1 publishedOct 5, 2026

Purely a hobby side project to see how far I can push a really small model, using (mostly) automated training pipelines

Original mention: [https://news.ycombinator.com/item?id=49869735](https://news.ycombinator.com/item?id=49869735)

There were a bunch of requests to release it. Full synthetic data: [https://huggingface.co/datasets/dirac-run/ec-training-data](https://huggingface.co/datasets/dirac-run/ec-training-data)

Models: [https://huggingface.co/dirac-run/ec-1.5b-gguf](https://huggingface.co/dirac-run/ec-1.5b-gguf) and [https://huggingface.co/dirac-run/ec-0.6b-gguf](https://huggingface.co/dirac-run/ec-0.6b-gguf)

Cli [https://github.com/dirac-run/ec](https://github.com/dirac-run/ec)

feel free to train/use the data as you wish.

Comments URL: [https://news.ycombinator.com/item?id=49966238](https://news.ycombinator.com/item?id=49966238)

Points: 1
source & further reading
dirac.run — original article
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