Divodude / Divodude/ai_logmaster
Test with local LLMs
- Dominant language
- Python
- Stars
- 2
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
## Test with local LLMs
Can anyone test this tool with local LLMs using **Ollama, LM Studio, or any other local runtime** and share the benchmark results?
It would be really useful to see how the tool performs across different models and hardware.
If you test it, please share:
* Model used
* Runtime (Ollama / LM Studio / etc.)
* Hardware
* Basic benchmark/results
* Any issues you run into
If possible, feel free to push the benchmark results to the repo through a PR so we can keep them in one place.
No need to change the core tool — even just testing it and sharing the results would be a useful contribution.
Thanks!
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by running the tool with a local model through Ollama or LM Studio, then record the model, runtime, hardware, benchmark results, and any issues. The work is complete when the results are shared in the issue or added to the repository through a PR.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- ollama, python
- Domain
- ai, testing
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 58/100