Upload nota-ai_Solar-Open-100B-NotaMoEQuant-Int4_0.txt with huggingface_hub

nota-ai_Solar-Open-100B-NotaMoEQuant-Int4_0.txt

@@ -0,0 +1,51 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="nota-ai/Solar-Open-100B-NotaMoEQuant-Int4", trust_remote_code=True)
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe(messages)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/nota-ai_Solar-Open-100B-NotaMoEQuant-Int4_0OmZg7P.py", line 26, in <module>
+    pipe = pipeline("text-generation", model="nota-ai/Solar-Open-100B-NotaMoEQuant-Int4", trust_remote_code=True)
+  File "/tmp/.cache/uv/environments-v2/7abdf34a38079b01/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 836, in pipeline
+    model = load_model(
+        adapter_path if adapter_path is not None else model,
+    ...<4 lines>...
+        **model_kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/7abdf34a38079b01/lib/python3.13/site-packages/transformers/pipelines/base.py", line 232, in load_model
+    model = model_class.from_pretrained(model, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/7abdf34a38079b01/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 365, 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-v2/7abdf34a38079b01/lib/python3.13/site-packages/transformers/modeling_utils.py", line 4015, in from_pretrained
+    hf_quantizer, config, device_map = get_hf_quantizer(
+                                       ~~~~~~~~~~~~~~~~^
+        config, quantization_config, device_map, weights_only, user_agent
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/7abdf34a38079b01/lib/python3.13/site-packages/transformers/quantizers/auto.py", line 326, in get_hf_quantizer
+    hf_quantizer.validate_environment(
+    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
+        device_map=device_map,
+        ^^^^^^^^^^^^^^^^^^^^^^
+        weights_only=weights_only,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/7abdf34a38079b01/lib/python3.13/site-packages/transformers/quantizers/quantizer_auto_round.py", line 43, in validate_environment
+    raise ImportError(
+        "Loading an AutoRound quantized model requires auto-round library (`pip install 'auto-round>=0.5'`)"
+    )
+ImportError: Loading an AutoRound quantized model requires auto-round library (`pip install 'auto-round>=0.5'`)