GPT-OSS benchmark readiness
gptoss is registered as the text-only mlx-community/gpt-oss-20b-MXFP4-Q8 model served by
mlx-lm. The model is downloaded and has completed core, executable, realistic-RAG, and practical
full runs. Use gptoss-final for structured requests; it uses the same cached weights with a
final-channel Harmony template and explicit JSON-schema injection.
Capability behavior
| Workload | Harness behavior |
|---|---|
| Vision, camera, mixed JSON/text/image | Capability-skipped because multimodal: false; not scored as failure |
| Executable coding and no-change safety | Runs through disposable fixture repositories |
| Cybersecurity, reasoning, instruction following, RAG, structured output | Runs through the core benchmark suite |
| Sports, hallucination, REST text workflows, repository reasoning | Runs through the practical full profile |
| Realistic 2K/8K/16K RAG | Runs through the natural-corpus benchmark |
| Responses API | Recorded as unavailable (responses_api: false), not as model-quality failure |
The chat-completions benchmark path is independent of /v1/responses. A missing
Responses endpoint affects direct Codex-provider compatibility only; it must not
be interpreted as an intelligence result.
Completed validation
On 2026-08-19, gptoss-final completed all 21 core requests with 90.1% mean deterministic quality.
The executable-v2 run applied 5/5 decisions, passed 5/5 targeted and full suites, met all five
minimality thresholds, produced no regressions, and correctly avoided the adversarial no-change edit.
The three supported hallucination-v2 text cases all abstained correctly, producing a 10.0/10
category score with the image case capability-skipped. Realistic RAG scored 100.0% at
2K, 86.5% at 8K, and 95.8% at 16K. The practical full profile scored 7.3/10 overall; its strongest
quality categories were agentic (10.0), repository (9.67), and sports (8.8), while hallucination
resistance was the primary weakness (2.5).
See docs/results/gptoss-evaluation-2026-08-19.md for
the detailed snapshot and result provenance.
Next round
# Run from the local-mlx-lab repository root.
make model MODEL=gptoss-final
make health
# Repeat representative executable and hallucination cases three times.
make stop
The corrected hallucination rerun reported zero failures, zero unsupported claims, and one capability-aware image skip. Do not compare v2 scores directly with unversioned rows without noting the prompt change. Photographic, camera, and vision workloads remain capability-skipped for this text-only model.