Before you dive in
What you’ll find in the original
- Point compatible client code at localhost by changing the base URL while retaining choice, noul, and score request shapes.
- Select a llama.cpp backend appropriate to Metal, CUDA, Vulkan, ROCm, SYCL, or CPU rather than assuming one hardware path.
- Reproduce the demos and measurements on target hardware; the README explicitly distinguishes individual recordings from benchmarks.
Worth knowing
Requires downloading and running a local model with substantial hardware-dependent latency and memory use. The project reproduces an interface pattern, not Jev's architecture or training, and makes no quality-parity claim.