OpenGPTAI decision workspace09 · TASK RANKING
Private & local deployment
Open-weight candidates for controlled data paths and self-hosting.
- Why these candidates
- Assumption · Historical. Start with confirmed downloadable versions and open-weight public signals, then validate hardware, license, security, and serving cost.
- What remains uncertain
- Open weights do not automatically mean low cost, full commercial freedom, privacy, or easy operation.
Starting candidate
0 / 3Three official versions to test first
Public data narrows the field. It does not replace a controlled test on your own work. Select two or three candidates for a side-by-side public data comparison.
Unknown · Not automatically certified
No comparable public result is currently mapped to this exact version.
Public evidenceThe models use different public evidence scales. Missing evidence is not treated as zero, and OpenGPT does not combine unlike sources into one score.＋
A practical starting point, not a universal winnerSelect two or three candidates for a side-by-side public data comparison.＋
The models use different public evidence scales. Missing evidence is not treated as zero, and OpenGPT does not combine unlike sources into one score.
Open weights do not automatically mean low cost, full commercial freedom, privacy, or easy operation.
The evaluation opens with this task template and the first two selected models. You can edit every task before collecting answers.