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[GH-ISSUE #2424] Always getting a timeout error while querying using mistral using Ollama #1413
Closed
opened 2026-04-12 11:17:25 -05:00 by GiteaMirror
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Originally created by @Chakit22 on GitHub (Feb 9, 2024).
Original GitHub issue: https://github.com/ollama/ollama/issues/2424
Originally assigned to: @bmizerany on GitHub.
I seem to get this error while I am trying to fetch the top 20 values using VectorStoreIndex.
Here's the link to the blog I was trying to implement: https://blog.llamaindex.ai/running-mixtral-8x7-locally-with-llamaindex-e6cebeabe0ab
I am getting a timeout while I am querying with
similarity_top_k=20.What is the workaround this?
@Chakit22 commented on GitHub (Feb 9, 2024):
I am running this on
MAC M2 PRO 16 GB RAM.@jmorganca Any workaround for this?
@stefan1981 commented on GitHub (Feb 21, 2024):
Same problem here ... using GeForce RTX 4060 8MB. Ollama from llama-index
@jmaronas commented on GitHub (Feb 22, 2024):
same here. From all the samples i run I am getting this only in three of the prompts I am using
@AbdullahAlAsad commented on GitHub (Feb 23, 2024):
Same
whenever I am trying to generate a long response I am getting the time out error
`Traceback (most recent call last):
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_exceptions.py", line 10, in map_exceptions
yield
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_backends/sync.py", line 126, in read
return self._sock.recv(max_bytes)
TimeoutError: timed out
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpx/_transports/default.py", line 67, in map_httpcore_exceptions
yield
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpx/_transports/default.py", line 231, in handle_request
resp = self._pool.handle_request(req)
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py", line 268, in handle_request
raise exc
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/connection_pool.py", line 251, in handle_request
response = connection.handle_request(request)
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/connection.py", line 103, in handle_request
return self._connection.handle_request(request)
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 133, in handle_request
raise exc
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 111, in handle_request
) = self._receive_response_headers(**kwargs)
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 176, in _receive_response_headers
event = self._receive_event(timeout=timeout)
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_sync/http11.py", line 212, in _receive_event
data = self._network_stream.read(
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_backends/sync.py", line 124, in read
with map_exceptions(exc_map):
File "/usr/lib/python3.10/contextlib.py", line 153, in exit
self.gen.throw(typ, value, traceback)
File "/home/rgeorge/ws_fine_tune/ftenv/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
raise to_exc(exc) from exc
httpcore.ReadTimeout: timed out`
@stefan1981 commented on GitHub (Feb 23, 2024):
I could solve the error by using the ollama library for python directly. No the llamaindex-ollama one. You can also play with the ollama installation on terminal.
@bmizerany commented on GitHub (Mar 11, 2024):
@Chakit22 Does using the official ollama python library solve your issue?
@Felix-hans commented on GitHub (Apr 11, 2024):
For people who might be forced to use the llama_index internal Ollama deploy, I suggest trying to increase the request_timeout: Ollama(model="mistral",request_timeout=60.0)
@jjzhoujun commented on GitHub (Apr 16, 2024):
How to increase the request_timeout in local ollama ?
@findnix commented on GitHub (Apr 16, 2024):
I run ollama on very lean hardware. This means that the response times are very poor. It happens very often that the client side terminates with a timeout. Also in python/langchain and on the commandline. The remedy is to increase the request_timeout parameter.
e.g.: Ollama(model="mistral",request_timeout=...)
It would be nice to be able to configure this parameter.
Thanks for your help
Ronald
@caio-vinicius commented on GitHub (Apr 20, 2024):
I'm with the same problem. I just found out that I was using 60 seconds as timeout and it was not enough. Using 500 worked. Here's my code:
*prints I had was removed
Result
@chethanmh commented on GitHub (May 1, 2024):
I faced the same timeout issue on Mac even after 120secs timeout. I changed to 600 after seeing the above post. It works now!
@Aryan-Deshpande commented on GitHub (May 4, 2024):
has this problem been solved ?
@firasarfa commented on GitHub (May 7, 2024):
Hey everyone ... I basically had the same problem because of my poor connection and did some research and turns out that you have to keep increasing the request_timeout until it works (it worked for me).. Have fun troubleshooting :)
@jmorganca commented on GitHub (May 7, 2024):
Hi folks, yes sometimes models take well over 60s to load on machines with slower memory i/o. I would configure
request_timeoutto be at least 10 minutes for this case. Hope this helps!@chethanmh commented on GitHub (May 8, 2024):
I tried storing the vectors into a db. Later in a python script, load the vectors and query a question. Even with this, the time taken is 3 minutes. I was under the impression that generating the vectors takes a long time. Anyone seen this where a script loading vectors from db and querying takes time also?
@stefan1981 commented on GitHub (May 16, 2024):
Just use llama-cpp instead of ollama. I switched and it works.
@monkrus commented on GitHub (May 16, 2024):
Worked well with 600. Just ensure you add a timeout to every model used in your code.
@Arslan-Mehmood1 commented on GitHub (Dec 27, 2024):
to keep ollama model loaded in memory when using langchain ollama:
pass keep_alive=-1
@felixmarch commented on GitHub (Jan 16, 2025):
How can we pass the request_timeout to the API?
I tried like this but it did not seem to work 😕