Upload MiniMaxAI_MiniMax-M2_0.txt with huggingface_hub

MiniMaxAI_MiniMax-M2_0.txt

@@ -0,0 +1,94 @@
+Traceback (most recent call last):
+  File "/tmp/MiniMaxAI_MiniMax-M2_0gDsHlo.py", line 17, in <module>
+    pipe = pipeline("text-generation", model="MiniMaxAI/MiniMax-M2")
+  File "/tmp/.cache/uv/environments-v2/d3eea229ed2fb556/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/d3eea229ed2fb556/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 MiniMaxAI/MiniMax-M2 with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForCausalLM'>,). See the original errors:
+
+while loading with AutoModelForCausalLM, an error is thrown:
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/d3eea229ed2fb556/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/d3eea229ed2fb556/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/d3eea229ed2fb556/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/d3eea229ed2fb556/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/d3eea229ed2fb556/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/d3eea229ed2fb556/lib/python3.13/site-packages/transformers/quantizers/quantizer_finegrained_fp8.py", line 54, in validate_environment
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: FP8 quantized models is only supported on GPUs with compute capability >= 8.9 (e.g 4090/H100), actual = `8.6`
+
+During handling of the above exception, another exception occurred:
+
+Traceback (most recent call last):
+  File "/tmp/.cache/uv/environments-v2/d3eea229ed2fb556/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/d3eea229ed2fb556/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/d3eea229ed2fb556/lib/python3.13/site-packages/transformers/modeling_utils.py", line 277, in _wrapper
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/d3eea229ed2fb556/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/d3eea229ed2fb556/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/d3eea229ed2fb556/lib/python3.13/site-packages/transformers/quantizers/quantizer_finegrained_fp8.py", line 54, in validate_environment
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: FP8 quantized models is only supported on GPUs with compute capability >= 8.9 (e.g 4090/H100), actual = `8.6`
+
+
+