# Benchmarks The honest state of this model's measurement, kept current. ## What exists today One behavioral receipt: a **deterministic generation smoke**. Served through Ollama, the model was asked to generate at temperature 0 with a fixed seed (seed 7, 64 tokens), twice, and the two outputs were byte-compared. Verdict: **MATCH** (generation hash prefix `403b2e8b21df9f55`). That establishes the served model is deterministic and reproducible, nothing more. ## What does not exist yet No task benchmark has been run against this model. There is no HumanEval score, no hard-set score, no leaderboard number. **We claim no capability uplift over the base `Qwen2.5-Coder-32B-Instruct`.** Any such comparison must come from executed benchmark artifacts, and none exist for the 32B. This is the deliberate difference from the [14B](https://huggingface.co/zaindanaharper/flywheel-local-coder-14b), which does carry executed benchmark evidence (with intervals, and the JSON to re-run each number). The 32B ships as a verified, retraceable build; the scored evidence is a separate, future measurement. ## How the numbers will arrive, when they do The same way the 14B's did, and no other way: - Run under a fixed harness with a published task set and a real oracle (propose, run the test, accept only what passes). - Every number ships with the JSON it came from and the command to re-run it. - Confidence intervals attached; a difference against base whose interval includes zero is reported as no uplift, not as a win. Until an executed benchmark artifact is attached here, treat this model on its provenance and its determinism receipt, not on any performance claim.