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fix: recognize EXL3 base layers in LoRA device detection #1712

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Merged
AlpinDale merged 2 commits into from
Jul 16, 2026
Merged

fix: recognize EXL3 base layers in LoRA device detection #1712

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6ab6f3c
fix: recognize EXL3 base layers in LoRA device detection
Nakanokensetsu Jul 15, 2026
528bf7a
fix: use torch.accelerator instead of torch.cuda in EXL3 device detec…
Nakanokensetsu Jul 16, 2026
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4 changes: 4 additions & 0 deletions aphrodite/lora/layers/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +69,10 @@ def _get_lora_device(base_layer: nn.Module) -> torch.device:
# MoE GPTQ/AWQ/GGUF
elif hasattr(base_layer, "w2_qweight"):
return base_layer.w2_qweight.device
# EXL3 (exllamav3) — CUDA-only; tensors are placed on the current device
# in Exl3LinearMethod.process_weights_after_loading.
elif hasattr(base_layer, "trellis"):
return torch.device("cuda", torch.accelerator.current_device_index())
else:
raise ValueError(f"Unsupported base layer: {base_layer}")

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