feat(dora): add weight-decomposed LoRA variant for fp layers

This commit is contained in:
wassname
2026-04-26 17:53:33 +08:00
parent 699fde31bf
commit 2abf616be6
8 changed files with 74 additions and 13 deletions
+1 -1
View File
@@ -173,7 +173,7 @@ def run_variant(args, variant: str, input_ids: torch.Tensor, labels: torch.Tenso
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--model", default="Qwen/Qwen3-0.6B")
parser.add_argument("--variants", nargs="+", default=["lora", "pissa", "delora", "ia3"])
parser.add_argument("--variants", nargs="+", default=["lora", "pissa", "delora", "ia3", "dora"])
parser.add_argument("--device", default="cuda")
parser.add_argument("--torch-dtype", default="bfloat16")
parser.add_argument("--steps", type=int, default=8)