Model Serving Minefield
Community registry of LLM serving-path traps that produce confidently wrong measurements: templates, tool parsers, reasoning fields, quant kernel paths, CUDA toolchains, KV allocation, eval harnesses, versioning. Symptom-first, with the check that catches each.
Model Serving Minefield is an open-source local AI project on GitHub under the MIT license (permissive), with 173 stars. It is built with CPython. Its last push was 3 days ago.
- Stars
- 173
- License
- MIT
- Activity
- Active
- Latest release
- v0.2.2
Judgement
- What it is
- List, course or other material
- What it does
- A community registry of bugs in LLM serving setups (chat templates, tool parsers, quantization kernels, eval harnesses) that produce wrong benchmark numbers, each listed by symptom with a check and a fix.
- Adopt it when
- You run or benchmark local LLMs with vLLM, llama.cpp or similar and a result looks off in a way you cannot explain.
- Watch out
- Entries carry different evidence levels, and only some are reproduced by the maintainers, so read each entry's status before trusting it.
- Ready for
- Usable
- Built with
- Python, Jinja and Shell
- How established
- New: started 3 months ago, latest release v0.2.2.
- What the license allows
- You can build it into a product you sell, as long as you keep its copyright notice.
Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.
Built from
Follow it down: Model Serving Minefield → CPython → GCC → LLVM project → runs on a microchip
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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.