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
model card
Browse files
README.md
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---
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base_model: Qwen/Qwen3.8-27B
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library_name: peft
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license: apache-2.0
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tags: [verilog, rtl, hardware-design, lora, verilog-eval]
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---
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# RecurRTL-MATE — Qwen3.8-27B role adapters
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Four LoRA adapters for **Qwen/Qwen3.8-27B**, used by the RecurRTL-MATE recursive
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RTL-generation pipeline. Load one with `subfolder=`:
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| subfolder | role |
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|---|---|
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| `repair` | proposes a corrected module from a failing design plus its verification feedback |
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| `localizer` | identifies which part of a failing design is responsible |
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| `verifier` | judges whether a candidate design satisfies the specification |
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| `planner` | produces an implementation plan before RTL is written |
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```python
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model = PeftModel.from_pretrained(base, "musatur/recurrtl-mate-qwen38-adapters", subfolder="repair")
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```
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Base model **Qwen/Qwen3.8-27B** scores **77.56% pass@1**
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(121/156) on VerilogEval v2 before any adapter is applied.
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Demo: https://huggingface.co/spaces/musatur/recurrtl-mate-demo
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