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How to test the server front end without a GPU or model with Unbiased Strata

Run the front end test suite against a fake engine to confirm a build works before any model is loaded.

Who it is forA developer who changes the C++ front end or builds on a machine with no GPU and no model files.

The problemFull inference tests need a GPU and large model files, which slows down checking a build.

The outcomeA pass or fail result for the front end tests that does not need hardware or model files.

What you need first

  • Linux x86-64 machine with one NVIDIA GPU (Pascal or newer) and CUDA 12.x
  • git and a C++ build toolchain able to run make build
  • GGUF model files copied to the machine by hand, since the fork does not download them
  • Optional: the mmproj projector file from the same repository as the model, for picture input

Steps

  1. Run git submodule update --init in the cloned repo.
  2. Run make build.
  3. Run make test and read the result.

Prompt for your agent

In the UnbiasedStrata repo at <repo-path>, run make build and make test and report the final pass or fail count. Confirm the tests ran against the fake engine and not a real model.

Caveat. make build still needs the CUDA toolchain on Linux x86-64, so this is not a no-hardware build of the engines themselves.

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