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Llama-2-7b-chat-hf_1bitgs8_hqq

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e:\1b.env\lib\site-packages\huggingface_hub\file_download.py:1132: FutureWarning: resume_download is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use force_download=True.
warnings.warn(
Setting pad_token_id to eos_token_id:2 for open-end generation.
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Assistant:
e:\1b.env\lib\site-packages\transformers\generation\utils.py:1510: UserWarning: You are calling .generate() with the input_ids being on a device type different than your model's device. input_ids is on cpu, whereas the model is on cuda. You may experience unexpected behaviors or slower generation. Please make sure that you have put input_ids to the correct device by calling for example input_ids = input_ids.to('cuda') before running .generate().
warnings.warn(
Exception in thread Thread-3 (generate):
Traceback (most recent call last):
File "C:\Users\CEDP\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\CEDP\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "e:\1b.env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "e:\1b.env\lib\site-packages\transformers\generation\utils.py", line 1622, in generate
result = self._sample(
File "e:\1b.env\lib\site-packages\transformers\generation\utils.py", line 2791, in _sample
outputs = self(
File "e:\1b.env\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "e:\1b.env\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "e:\1b.env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 1208, in forward
outputs = self.model(
File "e:\1b.env\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "e:\1b.env\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "e:\1b.env\lib\site-packages\transformers\models\llama\modeling_llama.py", line 974, in forward
inputs_embeds = self.embed_tokens(input_ids)
File "e:\1b.env\lib\site-packages\torch\nn\modules\module.py", line 1511, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "e:\1b.env\lib\site-packages\torch\nn\modules\module.py", line 1520, in _call_impl
return forward_call(*args, **kwargs)
File "e:\1b.env\lib\site-packages\torch\nn\modules\sparse.py", line 163, in forward
return F.embedding(
File "e:\1b.env\lib\site-packages\torch\nn\functional.py", line 2237, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)