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| `torch_dtype` is deprecated! Use `dtype` instead! |
| Flash Attention 2 only supports torch.float16 and torch.bfloat16 dtypes, but the current dype in Qwen3Model is torch.float32. You should run training or inference using Automatic Mixed-Precision via the `with torch.autocast(device_type='torch_device'):` decorator, or load the model with the `dtype` argument. Example: `model = AutoModel.from_pretrained("openai/whisper-tiny", attn_implementation="flash_attention_2", dtype=torch.float16)` |
| Casting fp32 inputs back to torch.float16 for flash-attn compatibility. |
| {"stage": "qualified_case", "id": "click-core-help-window", "seconds": 0.6511842664331198, "original_tokens": 642, "remaining_tokens": 353} |
| {"stage": "qualified_case", "id": "click-help-decorator", "seconds": 0.4774604132398963, "original_tokens": 234, "remaining_tokens": 234} |
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