Upload ai21labs_AI21-Jamba2-3B_1.txt with huggingface_hub

ai21labs_AI21-Jamba2-3B_1.txt

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+```CODE: 
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("ai21labs/AI21-Jamba2-3B")
+model = AutoModelForCausalLM.from_pretrained("ai21labs/AI21-Jamba2-3B")
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+inputs = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))
+```
+
+ERROR: 
+Traceback (most recent call last):
+  File "/tmp/ai21labs_AI21-Jamba2-3B_1x3WqpZ.py", line 39, in <module>
+    outputs = model.generate(**inputs, max_new_tokens=40)
+  File "/tmp/.cache/uv/environments-v2/8057a645a8e26186/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/lib/python3.13/site-packages/transformers/utils/generic.py", line 918, in wrapper
+    output = func(self, *args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/8057a645a8e26186/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-v2/8057a645a8e26186/lib/python3.13/site-packages/transformers/modeling_layers.py", line 94, in __call__
+    return super().__call__(*args, **kwargs)
+           ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/lib/python3.13/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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-v2/8057a645a8e26186/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