Jebadiah (27B / 9B v2.1)
Quadrant scores
See the full quadrantScored with the public quadrant rubric (maturity × capability; bubble = adoption). Revise as evidence lands.
- Maturity5.8/10
Apache-2.0 full weights in 27B and 9B (Qwen3.8-27B, Qwen3.5-9B), with GGUF for llama.cpp, Ollama and LM Studio, MLX 4- and 8-bit builds, vLLM support and a browser playground. Code and run-locally docs on GitHub. No hosted API, no SLA.
- Capability7.1/10
Decision Index 0.4.1 (22 Oct) Full 64.40 (#25) for the 27B v2.1 (9B: 50.90, #80), above Jev 1.13 (59.22). Choice, noul and score over option labels in one forward pass. No ECE published. Author median 106.5 ms on an RTX PRO 6000.
- Adoption1/100
About 280 downloads across the 27B and 9B repos and one like (20 Oct), plus GGUF and MLX mirrors. No production users found.
Vendor claims
- In-process request latency on an RTX PRO 6000: median 106.5 ms for v2.1 (110.2 ms previous)[Vendor claim — not independently verified]
publicado (OK do Fabricio 20/10 BRT). Scores are calculated from scratch.
What it is
Open decision model in 27B and 9B (Apache-2.0) with GGUF, Ollama and MLX builds: choice, noul and score in one pass. Decision Index 0.4 Full 65.37 (#14). Source: github.com/getainode/jebadiah. The card still quotes older board data (27B Full 55.94, 9B 44.91, 15 Oct) for an earlier version; the 0.4 rows are for v2.1 (t1e).
Board result
| Board | Row | Result |
|---|---|---|
| Decision Index 0.4 (20 Oct 2026) | Jebadiah (27B / 9B v2.1) | Full 65.37 (#14); Jev 1.13 61.26 (#34), Jev 1.14 62.22 (#28) |
Not checked against JevBench or Artificial Analysis for this page; the boards are never combined.
Vendor claims (UnverifiedClaim)
- In-process request latency on an RTX PRO 6000: median 106.5 ms for v2.1 (110.2 ms previous) (source)
Scores (from scratch, 20 Oct 2026)
- Capability 7.1 = types × 0.30 + calibration × 0.25 + latency × 0.25 + accuracy × 0.20 = 10 × 0.30 + 4 × 0.25 + 6 × 0.25 + 8 × 0.20 = 7.10. Accuracy: 8 × 65.37 ÷ 61.26 = 8.54 → 8.
- Maturity 5.8 = availability × 0.30 + docs × 0.25 + integrations × 0.25 + support × 0.20 = 7 × 0.30 + 7 × 0.25 + 6 × 0.25 + 2 × 0.20 = 5.75 → 5.8.
- Adoption 1 = engagement × 0.35 + ecosystem × 0.35 + production × 0.30 = 2 × 0.35 + 2 × 0.35 + 0 × 0.30 = 1.40 → 1.
Board audit (22 Oct 2026, DI 0.4.1)
publicado (OK do Fabricio 22/10 BRT).
Decision Index 0.4.1 (22 Oct; reference Jev 1.13 Full 59.22, was 61.26 on 0.4) lists this page’s row at Full 64.40 (#25). Accuracy rule: 8 × 64.40 ÷ 59.22 = 8.70 → 8 (was 8). Capability unchanged. Maturity and adoption unchanged.
