SchGen: PCB Schematic Generation with Semantic-Grounded Code Representations
Paper • 2605.30345 • Published • 1
SchGen-Qwen3.6-27B-EU — LoRA adapter
PEFT/LoRA adapter for KiCad schematic generation, to be applied on top of
Qwen/Qwen3.6-27B (Apache-2.0).
This is the adapter only (~152 MB); for the merged model see
Ailiance-fr/SchGen-Qwen3.6-27B-EU.
Implements the SchGen method (Luo et al., 2026) on a sovereign EU stack by ailiance.
Config
LoRA rank 32, α 1024, dropout 0.01, targets q/k/v/o/gate/up/down on the top
16 layers (48–63), curriculum (3 phases) over
microsoft/SchGen_dataset (MIT).
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B", torch_dtype="bfloat16", device_map="auto")
model = PeftModel.from_pretrained(base, "Ailiance-fr/SchGen-Qwen3.6-27B-EU-lora")
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3.6-27B")
See the merged model card for evaluation, limitations, and citation.
License
Apache-2.0. Derivative of Qwen/Qwen3.6-27B (Apache-2.0), trained on
microsoft/SchGen_dataset (MIT). See NOTICE.
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