Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Error Messages with local Ollama Models #611

Open
zuli12-dev opened this issue Aug 13, 2024 · 3 comments · May be fixed by #616
Open

Error Messages with local Ollama Models #611

zuli12-dev opened this issue Aug 13, 2024 · 3 comments · May be fixed by #616

Comments

@zuli12-dev
Copy link

Hi,

first of all, MANY thanks for building this great app for us!
I was able to get an local ollama installation working with sgpt, ccommands and everything are working fine.
However there are some Issues i cannot get to find in the issues here on github and cannot solve/get rid of it:

When using a model like DEFAULT_MODEL=ollama/llama3.1:latest or gemma2:2b i get the following erros:

❯ sgpt -s "create a folder named test, place a file in that new folder calle hello.log"
mkdir test && touch test/hello.log
[2024-08-13T11:12:56Z ERROR cached_path::cache] ETAG fetch for https://huggingface.co/gemma2:2b/resolve/main/tokenizer.json failed with fatal error
13:12:56 - LiteLLM:WARNING: litellm_logging.py:1302 - Model=gemma2:2b not found in completion cost map. Setting 'response_cost' to None

I also tried with ollama/llama3.1 and got the same error messages.
Just to be clear, everything seems to work fine, this is just an annoying message :)
However i cannot find any reference to huggingface or the messages in the src code, so i wanted to share this here.

Some Examples:

sgpt -c "python function to calculate pi"

def calculate_pi(iterations):
  """Calculates an approximation of Pi using the Leibniz formula.

  Args:
    iterations: The number of iterations to perform.

  Returns:
    An approximation of Pi.
  """
  pi = 0
  for i in range(iterations):
    pi += 4 / (2 * i + 1)
  return pi * 4

[2024-08-13T11:22:24Z ERROR cached_path::cache] ETAG fetch for https://huggingface.co/gemma2:2b/resolve/main/tokenizer.json failed with fatal error
13:22:24 - LiteLLM:WARNING: litellm_logging.py:1302 - Model=gemma2:2b not found in completion cost map. Setting 'response_cost' to None

@nerder
Copy link

nerder commented Aug 21, 2024

Seems to be an issue related with litellm now solved.

I've also add a weird error message about SSL and I fixed it using this SO response: https://stackoverflow.com/a/76187415

@nerder nerder linked a pull request Aug 21, 2024 that will close this issue
@zuli12-dev
Copy link
Author

zuli12-dev commented Aug 21, 2024

Thanks @nerder !
I do already have litellm installed on a never version:

❯ pip list | grep litellm
litellm                       1.43.9
❯ pip list | grep shell_gpt
shell_gpt                     1.4.4

But i now used the exact same version you changed in #616

Installing collected packages: litellm
Attempting uninstall: litellm
Found existing installation: litellm 1.43.9
Uninstalling litellm-1.43.9:
Successfully uninstalled litellm-1.43.9
Successfully installed litellm-1.43.19

❯ pip list | grep litellm
litellm                       1.43.19
❯ sgpt -c "solve fizz buzz problem in python"
python
for i in range(1, 101):
  if i % 3 == 0 and i % 5 == 0:
    print("FizzBuzz")
  elif i % 3 == 0:
    print("Fizz")
  elif i % 5 == 0:
    print("Buzz")
  else:
    print(i)

❯ sgpt -s "command to get system statistics"
zsh
systemstat
[2024-08-21T10:22:05Z ERROR cached_path::cache] ETAG fetch for https://huggingface.co/gemma2:2b/resolve/main/tokenizer.json failed with fatal error

[E]xecute, [D]escribe, [A]bort:12:22:05 - LiteLLM:WARNING: litellm_logging.py:1319 - Model=gemma2:2b not found in completion cost map. Setting 'response_cost' to None
A

I am not sure if i want to replace the openssl lib. on my system though, as i am running this native and not in any docker..

❯ pip list | grep urllib3
urllib3 1.26.16
❯ pip show urllib3
Name: urllib3
Version: 1.26.16
Summary: HTTP library with thread-safe connection pooling, file post, and more.
Home-page: https://urllib3.readthedocs.io/
Author: Andrey Petrov
Author-email: [email protected]
License: MIT
Location: /opt/homebrew/anaconda3/lib/python3.11/site-packages
Requires:
Required-by: anaconda-client, botocore, distributed, requests, responses

❯ openssl version -a
OpenSSL 3.2.0 23 Nov 2023 (Library: OpenSSL 3.2.0 23 Nov 2023)
built on: Thu Nov 23 13:20:19 2023 UTC
platform: darwin64-arm64-cc
options: bn(64,64)
compiler: clang -fPIC -arch arm64 -O3 -Wall -DL_ENDIAN -DOPENSSL_PIC -D_REENTRANT -DOPENSSL_BUILDING_OPENSSL -DNDEBUG
OPENSSLDIR: "/opt/homebrew/etc/openssl@3"
ENGINESDIR: "/opt/homebrew/Cellar/openssl@3/3.2.0_1/lib/engines-3"
MODULESDIR: "/opt/homebrew/Cellar/openssl@3/3.2.0_1/lib/ossl-modules"
Seeding source: os-specific
CPUINFO: OPENSSL_armcap=0x987d

❯ otool -L /opt/homebrew/bin/openssl
/opt/homebrew/bin/openssl:
/opt/homebrew/Cellar/openssl@3/3.2.0_1/lib/libssl.3.dylib (compatibility version 3.0.0, current version 3.0.0)
/opt/homebrew/Cellar/openssl@3/3.2.0_1/lib/libcrypto.3.dylib (compatibility version 3.0.0, current version 3.0.0)
/usr/lib/libSystem.B.dylib (compatibility version 1.0.0, current version 1336.0.0)

@zuli12-dev
Copy link
Author

zuli12-dev commented Aug 21, 2024

okay so the issue with the log message:

LiteLLM:WARNING: litellm_logging.py:1302 - Model=gemma2:2b not found in completion cost map. Setting 'response_cost' to None

comes from litelllm not having the exact models in their costmap here: https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json

I now have set:

DEFAULT_MODEL=ollama/llama3.1

and i only get the URL fatal message, as the link does not exist.

2024-08-21T11:06:26Z ERROR cached_path::cache] ETAG fetch for https://huggingface.co/llama3.1/resolve/main/tokenizer.json failed with fatal error

Not sure, but i guess this comes from the rust library cached_path https://crates.io/crates/cached-path

But not sure where this might be used in this project at all...

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging a pull request may close this issue.

2 participants