Certification target
Real model certification uses Python 3.11 once per device family. It runs the
exact frozen 1,500 inputs and requires every output string to equal the retained
Premove ITN release prediction. This is an execution-equivalence check. It is not
an accuracy evaluation and it must not be used to tune the model.
The workflow records the OS, architecture, Python, PyTorch, Transformers, Rust
target, wheel filename and digest, source commit, model revision, reference
prediction digest, selected device, result, and observed peak process RSS. The
validated table above is based on successful retained workflow evidence. The
MPS evidence was produced with the
same clean release wheel on an Apple Silicon host because the standard public
macOS runner does not have enough shared memory for this model, and the
repository does not have access to the larger macOS runner tier.
Not validated for v0.1.0
- Windows
- macOS Intel
- Linux ARM64
- CUDA
- ROCm and other accelerator backends
device="cuda", but CUDA is not a v0.1.0 compatibility claim
until it is tested on real NVIDIA hardware. Unsupported or unavailable explicit
devices fail with a clear runtime error.