Instructions to use musatur/recurrtl-mate-qwen38-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use musatur/recurrtl-mate-qwen38-adapters with PEFT:
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- Notebooks
- Google Colab
- Kaggle
RecurRTL-MATE โ Qwen3.8-27B role adapters
Four LoRA adapters for Qwen/Qwen3.8-27B, used by the RecurRTL-MATE recursive
RTL-generation pipeline. Load one with subfolder=:
| subfolder | role |
|---|---|
repair |
proposes a corrected module from a failing design plus its verification feedback |
localizer |
identifies which part of a failing design is responsible |
verifier |
judges whether a candidate design satisfies the specification |
planner |
produces an implementation plan before RTL is written |
model = PeftModel.from_pretrained(base, "musatur/recurrtl-mate-qwen38-adapters", subfolder="repair")
Base model Qwen/Qwen3.8-27B scores 77.56% pass@1 (121/156) on VerilogEval v2 before any adapter is applied.
Demo: https://huggingface.co/spaces/musatur/recurrtl-mate-demo
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Model tree for musatur/recurrtl-mate-qwen38-adapters
Base model
Qwen/Qwen3.8-27B