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

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This is 1 of 143 launches in large language models — see how it stacks up on momentum and crowding →

159 other launches read as similar to this one →

Details

External ID
49966238
Source
HN
Company
—
Product
I finetuned 1.5B Qwen to near GPT-4o level bash generation perf
Website domain
dirac.run
Launched
Oct. 5, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.27
Tags
—

Description

Purely a hobby side project to see how far I can push a really small model, using (mostly) automated training pipelinesOriginal mention: https://news.ycombinator.com/item?id=49869735There were a bunch of requests to release it. Full synthetic data: https://huggingface.co/datasets/dirac-run/ec-training-dataModels: https://huggingface.co/dirac-run/ec-1.5b-gguf and https://huggingface.co/dirac-run/ec-0.6b-ggufCli https://github.com/dirac-run/ecfeel free to train/use the data as you wish.

Enrichment

Niche
large language models
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
fine-tuned language model for bash scripting
Manually corrected
False

Could you build this?

Yes The creator specifically automated the synthetic data generation and LoRA/fine-tuning pipeline using LLM agents and existing HuggingFace/Axolotl tools.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 159 launches clear the similarity bar, closest 8 shown.

Attention rank: #125 of 160 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 338 days after the earliest competitor.

Other launches for this product