James

Model · Text classification

kev-4b-code-verify-v1

James

A fine-tune of jaredpalmer/kev-4b (4B, trained on a bf16 backbone on a single L4): a Jev-style decision model that judges whether code written by a cheap coding model is correct, so a router can keep the answer local or escalate it. One forward pass, a calibrated probability, no generated text. Trained on execution-labelled data: coder attempts at HumanEvalPack (Python) tasks, labelled by running each task's hidden test suite. The model never sees the hidden tests; its input is what a router can compute itself. The fine-tune binds these exact strings. One noul question (probability that the statement holds): State (an object; Kev renders it as key: value lines): generatededgecasetests comes…

Model · Text classification

kev-0.8b-code-verify-v1

James

A fine-tune of jaredpalmer/kev-0.8b (first fine-tune): a Jev-style decision model that judges whether code written by a cheap coding model is correct, so a router can keep the answer local or escalate it. One forward pass, a calibrated probability, no generated text. Trained on execution-labelled data: coder attempts at HumanEvalPack (Python) tasks, labelled by running each task's hidden test suite. The model never sees the hidden tests; its input is what a router can compute itself. The fine-tune binds these exact strings. One noul question (probability that the statement holds): State (an object; Kev renders it as key: value lines): generatededgecasetests comes from a small model writing…

Model · Text classification

kev-0.8b-code-verify-v2

James

A fine-tune of jaredpalmer/kev-0.8b (current best local judge: weak-coder data added): a Jev-style decision model that judges whether code written by a cheap coding model is correct, so a router can keep the answer local or escalate it. One forward pass, a calibrated probability, no generated text. Trained on execution-labelled data: coder attempts at HumanEvalPack (Python) tasks, labelled by running each task's hidden test suite. The model never sees the hidden tests; its input is what a router can compute itself. The fine-tune binds these exact strings. One noul question (probability that the statement holds): State (an object; Kev renders it as key: value lines): generatededgecasetests…