Comments (5)
nilsherzig
commented on June 29, 2024
Hi :). I assume your using the default 2k context window on open-webui? Until today, my project used a much larger context window if possible (like in the case of command-r). I just pushed an update which contains a new settings window, which allows you to adjust the context window. Please confirm that this causes the increase in vRAM usage / decrease in offloaded layers.
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nilsherzig
commented on June 29, 2024
If that's the case, I assume ollama just run out of memory on your system?
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ImVexed
commented on June 29, 2024
Yes, it's certainly quicker when I lower the context window size. Though it seems to be breaking. It froze when trying to pull info from the internet here for maybe a minute or so:
ollama | [GIN] 2024/04/14 - 00:29:19 | 200 | 3.916807898s | 172.30.0.3 | POST "/api/chat"
searxng-1 | 2024-04-14 00:29:19,854 WARNING:searx.engines.google: ErrorContext('searx/search/processors/online.py', 116, "response = req(params['url'], **request_args)", 'searx.exceptions.SearxEngineTooManyRequestsException', None, ('Too many request',)) False
searxng-1 | 2024-04-14 00:29:19,854 ERROR:searx.engines.google: Too many requests
searxng-1 | Traceback (most recent call last):
searxng-1 | File "/usr/local/searxng/searx/search/processors/online.py", line 163, in search
searxng-1 | search_results = self._search_basic(query, params)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/local/searxng/searx/search/processors/online.py", line 147, in _search_basic
searxng-1 | response = self._send_http_request(params)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/local/searxng/searx/search/processors/online.py", line 116, in _send_http_request
searxng-1 | response = req(params['url'], **request_args)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/local/searxng/searx/network/__init__.py", line 164, in get
searxng-1 | return request('get', url, **kwargs)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/local/searxng/searx/network/__init__.py", line 95, in request
searxng-1 | return future.result(timeout)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/lib/python3.11/concurrent/futures/_base.py", line 456, in result
searxng-1 | return self.__get_result()
searxng-1 | ^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result
searxng-1 | raise self._exception
searxng-1 | File "/usr/local/searxng/searx/network/network.py", line 289, in request
searxng-1 | return await self.call_client(False, method, url, **kwargs)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/local/searxng/searx/network/network.py", line 272, in call_client
searxng-1 | return Network.patch_response(response, do_raise_for_httperror)
searxng-1 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
searxng-1 | File "/usr/local/searxng/searx/network/network.py", line 245, in patch_response
searxng-1 | raise_for_httperror(response)
searxng-1 | File "/usr/local/searxng/searx/network/raise_for_httperror.py", line 76, in raise_for_httperror
searxng-1 | raise SearxEngineTooManyRequestsException()
searxng-1 | searx.exceptions.SearxEngineTooManyRequestsException: Too many request, suspended_time=3600
searxng-1 | 2024-04-14 00:29:22,329 ERROR:searx.engines.duckduckgo: engine timeout
searxng-1 | 2024-04-14 00:29:22,423 WARNING:searx.engines.duckduckgo: ErrorContext('searx/engines/duckduckgo.py', 118, 'res = get(query_url)', 'httpx.ConnectTimeout', None, (None, None, 'duckduckgo.com')) False
searxng-1 | 2024-04-14 00:29:22,423 ERROR:searx.engines.duckduckgo: HTTP requests timeout (search duration : 3.0941880460013635 s, timeout: 3.0 s) : ConnectTimeout
backend-1 | 2024/04/14 00:29:22 WARN Error downloading website error="no content found"
And after that went through it then got stuck in a loop:
Here's the full logs:
temp.log
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nilsherzig
commented on June 29, 2024
I'm pretty sure that it run out of context. 2k tokens isnt much. You can see an estimate of the current context in the backend logs. I assume that the format instructions arent in the context anymore at this point. Which results in the LLM ignoring the requested structure.
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nilsherzig
commented on June 29, 2024
closing for #91
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