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Pablo-Flores-Mollinedo
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Model Details
Model Provider
Pablo-Flores-Mollinedo
Model Tree
Base
Qwen/Qwen3.5-9B
Adapter
this model
Input Modalities
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Image
Video
Output Modalities
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Supported Functionality
Dedicated Endpoints
This adapter was trained with manual repair targets only for the targeted v33 failure repairs. No converted VerilogEval RefModule reference-solution code was used as repair target code.
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Thinking:[BEGIN]module TopModule(...);...endmodule[DONE]
Use code inside [BEGIN] / [DONE] as final artifact.
Local VerilogEval v2 spec-to-RTL direct single-adapter eval, no retry, no selector, no compiler feedback before final answer:
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v34 manual max2048: compile 103/156, pass 77/156 = 49.4%
A max4096 eval is being run after publication request to test whether max token budget closes the gap with v33 max4096.
Interpretation: v34 manual is experimental. v33 remains the best confirmed clean single-adapter checkpoint until the max4096 v34 result is known.
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModelbase = "Qwen/Qwen3.5-9B"adapter = "Pablo-Flores-Mollinedo/verilog-qwen3.5-9b-v34-manual-structured-repair-lora"tok = AutoTokenizer.from_pretrained(adapter, trust_remote_code=True)model = AutoModelForCausalLM.from_pretrained(base, trust_remote_code=True, device_map="auto")model = PeftModel.from_pretrained(model, adapter)