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TRLoom
Fine-tune LLMs with one YAML file on Hugging Face TRL
TRLoom turns Hugging Face TRL fine-tuning into a single YAML config. Describe your model, dataset, trainer, W&B, and optional Modal GPUs — then run one command. `pip install trloom` `trloom run config.yaml` `trloom run config.yaml --modal` Built for ML engineers and researchers who want SFT, DPO, GRPO, and more without rewriting boilerplate every experiment. Open source (Apache 2.0).
Hey Product Hunt 👋
I’m Saqlain - I kept rewriting the same Hugging Face TRL setup for every SFT / DPO / GRPO run: model loading, datasets, trainers, W&B, then Modal when I needed GPUs.
So I built TRLoom: one YAML file → one command.
• TRL-native trainers (follows whatever your installed TRL exposes)
• Hub or local datasets
• W&B from YAML
• Same config on Modal with --modal
Try it:
pip install trloom
trloom run config.yaml
Docs: https://saqlain2204.github.io/tr...
GitHub: https://github.com/saqlain2204/t...
Curious what you’d run first — local SFT, DPO, or a Modal GPU job? Feedback and issues welcome.
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About TRLoom on Product Hunt
“Fine-tune LLMs with one YAML file on Hugging Face TRL”
TRLoom was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #96 on the daily leaderboard. TRLoom turns Hugging Face TRL fine-tuning into a single YAML config. Describe your model, dataset, trainer, W&B, and optional Modal GPUs — then run one command. `pip install trloom` `trloom run config.yaml` `trloom run config.yaml --modal` Built for ML engineers and researchers who want SFT, DPO, GRPO, and more without rewriting boilerplate every experiment. Open source (Apache 2.0).
TRLoom was featured in Open Source (68.9k followers), Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 252.5k products, making this a competitive space to launch in.
Who hunted TRLoom?
TRLoom was hunted by MOHAMMED SAQLAIN. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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MOHAMMED SAQLAIN