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Mistral-Nemo-Instruct-2407

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Traceback (most recent call last):
File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/home/trx50/.vscode/extensions/ms-python.debugpy-2024.10.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/main.py", line 39, in
cli.main()
File "/home/trx50/.vscode/extensions/ms-python.debugpy-2024.10.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 430, in main
run()
File "/home/trx50/.vscode/extensions/ms-python.debugpy-2024.10.0-linux-x64/bundled/libs/debugpy/adapter/../../debugpy/launcher/../../debugpy/../debugpy/server/cli.py", line 284, in run_file
runpy.run_path(target, run_name="main")
File "/home/trx50/.vscode/extensions/ms-python.debugpy-2024.10.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 321, in run_path
return _run_module_code(code, init_globals, run_name,
File "/home/trx50/.vscode/extensions/ms-python.debugpy-2024.10.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 135, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "/home/trx50/.vscode/extensions/ms-python.debugpy-2024.10.0-linux-x64/bundled/libs/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_runpy.py", line 124, in _run_code
exec(code, run_globals)
File "/home/trx50/Project/llamaindex/Alex/Produce_dataset_test.py", line 414, in
output = model.generate(input_ids, max_length=1200, pad_token_id=tokenizer.eos_token_id)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/transformers/generation/utils.py", line 1914, in generate
result = self._sample(
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/transformers/generation/utils.py", line 2651, in _sample
outputs = self(
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/accelerate/hooks.py", line 166, in new_forward
output = module._old_forward(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/transformers/models/mistral/modeling_mistral.py", line 1200, in forward
outputs = self.model(
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/accelerate/hooks.py", line 166, in new_forward
output = module._old_forward(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/transformers/models/mistral/modeling_mistral.py", line 976, in forward
layer_outputs = decoder_layer(
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/accelerate/hooks.py", line 166, in new_forward
output = module._old_forward(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/transformers/models/mistral/modeling_mistral.py", line 718, in forward
hidden_states, self_attn_weights, present_key_value = self.self_attn(
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
return forward_call(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/accelerate/hooks.py", line 166, in new_forward
output = module._old_forward(*args, **kwargs)
File "/home/trx50/.virtualenvs/llamaindex/lib/python3.10/site-packages/transformers/models/mistral/modeling_mistral.py", line 617, in forward
query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2)
RuntimeError: shape '[1, 688, 32, 160]' is invalid for input of size 2818048

input_ids = tokenizer.encode(prompt, return_tensors='pt').to(device)
output = model.generate(input_ids, max_length=1200, pad_token_id=tokenizer.eos_token_id)
response = tokenizer.batch_decode(output[:, input_ids.shape[1]:])[0]

why the code can run in the Llama3, gemma-2, Mistral-7B-Instruct-v0.3, but not working for the new Mistral-Nemo-Instruct-2407 model?
Thanks!