Upload ai21labs_AI21-Jamba2-3B_0.txt with huggingface_hub

ai21labs_AI21-Jamba2-3B_0.txt

@@ -0,0 +1,94 @@
+```CODE: 
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="ai21labs/AI21-Jamba2-3B")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe(messages)
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/ai21labs_AI21-Jamba2-3B_0crA10m.py", line 30, in <module>
+    pipe(messages)
+    ~~~~^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 325, in __call__
+    return super().__call__(Chat(text_inputs), **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1467, in __call__
+    return self.run_single(inputs, preprocess_params, forward_params, postprocess_params)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1474, in run_single
+    model_outputs = self.forward(model_inputs, **forward_params)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/pipelines/base.py", line 1374, in forward
+    model_outputs = self._forward(model_inputs, **forward_params)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/pipelines/text_generation.py", line 432, in _forward
+    output = self.model.generate(input_ids=input_ids, attention_mask=attention_mask, **generate_kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/generation/utils.py", line 2564, in generate
+    result = decoding_method(
+        self,
+    ...<5 lines>...
+        **model_kwargs,
+    )
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/generation/utils.py", line 2784, in _sample
+    outputs = self(**model_inputs, return_dict=True)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/models/jamba/modeling_jamba.py", line 1350, in forward
+    outputs: MoeModelOutputWithPast = self.model(
+                                      ~~~~~~~~~~^
+        input_ids=input_ids,
+        ^^^^^^^^^^^^^^^^^^^^
+    ...<8 lines>...
+        cache_position=cache_position,
+        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/models/jamba/modeling_jamba.py", line 1195, in forward
+    layer_outputs = decoder_layer(
+        hidden_states,
+    ...<6 lines>...
+        cache_position=cache_position,
+    )
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/modeling_layers.py", line 94, in __call__
+    return super().__call__(*args, **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/models/jamba/modeling_jamba.py", line 1035, in forward
+    hidden_states = self.mamba(
+        hidden_states=hidden_states,
+        cache_params=past_key_values,
+        attention_mask=attention_mask,
+    )
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/1be6ad9d97bb6ec1/lib/python3.13/site-packages/transformers/models/jamba/modeling_jamba.py", line 818, in forward
+    raise ValueError(
+        "Fast Mamba kernels are not available. Make sure to they are installed and that the mamba module is on a CUDA device"
+    )
+ValueError: Fast Mamba kernels are not available. Make sure to they are installed and that the mamba module is on a CUDA device