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aiqualitylab 
posted an update 5 days ago
Post
2627
Fine-tuned Qwen2.5-Coder-1.5B to generate Playwright & Cypress E2E tests from plain English — running fully offline in Ollama. No API key, no page data ever leaving your machine. ~1.6 GB.

The fun part: the dataset was bootstrapped by my own cloud tool, then used to train its cheaper local replacement. 202 clean requirement→test pairs, LoRA fine-tune, all open.

Model + dataset + Space → https://huggingface.co/collections/aiqualitylab/ai-natural-language-tests
Source → https://github.com/aiqualitylab/ai-natural-language-tests
Banaxi-Tech

Stop using Qwen2.5 and switch to Qwen3.5.

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aiqualitylab

Thanks, I went with Qwen2.5-Coder-1.5B to keep it lightweight (~1.6 GB) and fully offline, but trying a newer base is on my list. Dataset's open.
ayan4m1

I might try training one of the larger coder models against your dataset, I'm interested to see what it can do with a little more reasoning ability. Thanks for the work!

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aiqualitylab

Curious how more reasoning ability handles the tricky pairs. If you train something, please share it and I will link it from the collection. Thanks!
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