| ```CODE: | |
| # Load model directly | |
| from transformers import AutoProcessor, AutoModelForVision2Seq | |
| processor = AutoProcessor.from_pretrained("Qwen/Qwen3-VL-32B-Instruct-FP8") | |
| model = AutoModelForVision2Seq.from_pretrained("Qwen/Qwen3-VL-32B-Instruct-FP8") | |
| messages = [ | |
| { | |
| "role": "user", | |
| "content": [ | |
| {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, | |
| {"type": "text", "text": "What animal is on the candy?"} | |
| ] | |
| }, | |
| ] | |
| inputs = processor.apply_chat_template( | |
| messages, | |
| add_generation_prompt=True, | |
| tokenize=True, | |
| return_dict=True, | |
| return_tensors="pt", | |
| ).to(model.device) | |
| outputs = model.generate(**inputs, max_new_tokens=40) | |
| print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) | |
| ``` | |
| ERROR: | |
| Traceback (most recent call last): | |
| File "/tmp/Qwen_Qwen3-VL-32B-Instruct-FP8_1slct1n.py", line 20, in <module> | |
| model = AutoModelForVision2Seq.from_pretrained("Qwen/Qwen3-VL-32B-Instruct-FP8") | |
| File "/tmp/.cache/uv/environments-v2/3a120645d4f704f5/lib/python3.13/site-packages/transformers/models/auto/modeling_auto.py", line 2289, in from_pretrained | |
| return super().from_pretrained(pretrained_model_name_or_path, *model_args, **kwargs) | |
| ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| File "/tmp/.cache/uv/environments-v2/3a120645d4f704f5/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 604, in from_pretrained | |
| return model_class.from_pretrained( | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^ | |
| pretrained_model_name_or_path, *model_args, config=config, **hub_kwargs, **kwargs | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| ) | |
| ^ | |
| File "/tmp/.cache/uv/environments-v2/3a120645d4f704f5/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper | |
| return func(*args, **kwargs) | |
| File "/tmp/.cache/uv/environments-v2/3a120645d4f704f5/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4881, in from_pretrained | |
| hf_quantizer, config, dtype, device_map = get_hf_quantizer( | |
| ~~~~~~~~~~~~~~~~^ | |
| config, quantization_config, dtype, from_tf, from_flax, device_map, weights_only, user_agent | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| ) | |
| ^ | |
| File "/tmp/.cache/uv/environments-v2/3a120645d4f704f5/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 319, in get_hf_quantizer | |
| hf_quantizer.validate_environment( | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ | |
| dtype=dtype, | |
| ^^^^^^^^^^^^ | |
| ...<3 lines>... | |
| weights_only=weights_only, | |
| ^^^^^^^^^^^^^^^^^^^^^^^^^^ | |
| ) | |
| ^ | |
| File "/tmp/.cache/uv/environments-v2/3a120645d4f704f5/lib/python3.13/site-packages/transformers/quantizers/quantizer_finegrained_fp8.py", line 48, in validate_environment | |
| raise RuntimeError("No GPU or XPU found. A GPU or XPU is needed for FP8 quantization.") | |
| RuntimeError: No GPU or XPU found. A GPU or XPU is needed for FP8 quantization. | |