docs/UPDATE_NOTES.md

Model repository update — 2026-09-24

This upload replaces the short model card with a full model overview, measured public accuracy, CPU/GPU timing, usage methods and reproducibility links. It adds inference examples, a serving guide, a standalone public JevBench v1.4.1 runner, a CPU-specific entry point, a CPU notebook, two focused charts, a combined chart, and the exact results in JSON.

The config.json serving option limit changes from 64 to 128 tokens to align the default API with the measured evaluation input limit. The checkpoint and runtime source files are not modified. manifest.json is regenerated for every changed or new repository file; existing weight and runtime hashes are preserved.

The reported public accuracy is 107 / 231 = 46.32% at the pinned model revision 14bf8c26bf344ebdf88e22a4b6152dc5f75f3578. The official JevBench composite score is unavailable because the sealed/judge portion and cost input are not included. Local CPU and GPU speeds are measured at distinct batch sizes and are identified as such.

Upload the contents of this package to the root of Q1z/Pivot, replacing the names it contains. No delete operation is required. Model weight files, tokenizer files, and pre-existing serving request/response examples stay in the Hub repository.