Upload Qwen_Qwen3-VL-32B-Instruct-FP8_0.txt with huggingface_hub

Qwen_Qwen3-VL-32B-Instruct-FP8_0.txt

@@ -0,0 +1,163 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("image-text-to-text", model="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?"}
+        ]
+    },
+]
+pipe(text=messages)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/Qwen_Qwen3-VL-32B-Instruct-FP8_0pkcurZ.py", line 17, in <module>
+    pipe = pipeline("image-text-to-text", model="Qwen/Qwen3-VL-32B-Instruct-FP8")
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1027, in pipeline
+    framework, model = infer_framework_load_model(
+                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        adapter_path if adapter_path is not None else model,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    ...<5 lines>...
+        **model_kwargs,
+        ^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
+    raise ValueError(
+        f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
+    )
+ValueError: Could not load model Qwen/Qwen3-VL-32B-Instruct-FP8 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>, <class 'transformers.models.qwen3_vl.modeling_qwen3_vl.Qwen3VLForConditionalGeneration'>). See the original errors:
+
+while loading with AutoModelForImageTextToText, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **fp32_kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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.
+
+while loading with Qwen3VLForConditionalGeneration, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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.
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
+    model = model_class.from_pretrained(model, **fp32_kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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-v2/49adf985b5e89d74/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.
+
+
+