Assembly Line

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

Code on GitHub

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

How compilers were built, back to punched paper tape

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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.