But only the GPT4All models seems to work, as it did not crash but took forever to deliver an answer, so i still aborted.
(local_llama_newpythno) C:\Users\elnuevo\local_llama>python -m streamlit run local_llama.py
You can now view your Streamlit app in your browser.
Local URL: http://localhost:8501
Network URL: http://192.168.178.35:8501
A Review Article Access Recirculation Among End Stage Renal Disease Patients Undergoing Maintenance Hemodialysis.pdf
llama.cpp: loading model from C:\\Users\\elnuevo\\Downloads\\ggml-old-vic7b-q4_0.bin
2023-05-26 16:05:27.237 Uncaught app exception
Traceback (most recent call last):
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 565, in _run_script
exec(code, module.__dict__)
File "C:\Users\elnuevo\local_llama\local_llama.py", line 146, in <module>
query_index(query_u=user_input)
File "C:\Users\elnuevo\local_llama\local_llama.py", line 92, in query_index
response = query_engine.query(query_u)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\indices\query\base.py", line 23, in query
response = self._query(str_or_query_bundle)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\query_engine\retriever_query_engine.py", line 145, in _query
response = self._response_synthesizer.synthesize(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\indices\query\response_synthesis.py", line 178, in synthesize
response_str = self._response_builder.get_response(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\indices\response\compact_and_refine.py", line 57, in get_response
response = super().get_response(
^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\token_counter\token_counter.py", line 78, in wrapped_llm_predict
f_return_val = f(_self, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\indices\response\refine.py", line 52, in get_response
response = self._give_response_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\indices\response\refine.py", line 89, in _give_response_single
) = self._service_context.llm_predictor.predict(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\llm_predictor\base.py", line 245, in predict
llm_prediction = self._predict(prompt, **prompt_args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\llm_predictor\base.py", line 213, in _predict
llm_prediction = retry_on_exceptions_with_backoff(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\utils.py", line 177, in retry_on_exceptions_with_backoff
return lambda_fn()
^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_index\llm_predictor\base.py", line 214, in <lambda>
lambda: llm_chain.predict(**full_prompt_args),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\chains\llm.py", line 213, in predict
return self(kwargs, callbacks=callbacks)[self.output_key]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\chains\base.py", line 140, in __call__
raise e
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\chains\base.py", line 134, in __call__
self._call(inputs, run_manager=run_manager)
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\chains\llm.py", line 69, in _call
response = self.generate([inputs], run_manager=run_manager)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\chains\llm.py", line 79, in generate
return self.llm.generate_prompt(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\llms\base.py", line 134, in generate_prompt
return self.generate(prompt_strings, stop=stop, callbacks=callbacks)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\llms\base.py", line 191, in generate
raise e
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\llms\base.py", line 185, in generate
self._generate(prompts, stop=stop, run_manager=run_manager)
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\langchain\llms\base.py", line 438, in _generate
else self._call(prompt, stop=stop)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\elnuevo\local_llama\local_llama.py", line 44, in _call
llm = Llama(model_path=MODEL_PATH, n_threads=NUM_THREADS, n_ctx=n_ctx)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_cpp\llama.py", line 158, in __init__
self.ctx = llama_cpp.llama_init_from_file(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\anaconda\envs\local_llama_newpythno\Lib\site-packages\llama_cpp\llama_cpp.py", line 262, in llama_init_from_file
return _lib.llama_init_from_file(path_model, params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
OSError: [WinError -529697949] Windows Error 0xe06d7363
I tried the following models:
But only the GPT4All models seems to work, as it did not crash but took forever to deliver an answer, so i still aborted.