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HEAD TO HEAD
Andy Zhang: ajev and Maziyar Panahi: modernjev-decide, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | andy-zhang/ajev | maziyar-panahi/modernjev-decide |
|---|---|---|
| Summary | An open Jev-style decision model by Andy Zhang: a LoRA adapter on Gemma 4 26B-A4B (also on Gemma 4 12B) that reads a state and returns a temperature-calibrated probability for every option of a yes/no, choice or score question in one forward pass. | A 149.6M ModernBERT-base cross-encoder with a scalar head that picks an agent's next action or tool from labels and descriptions you supply. Each option is scored against the state and a softmax ranks the set; no text is generated. Experimental preview, not calibrated. |
| Decides | choice, score, noul | choice, rank, route |
| Architecture | ajev | modernjev |
| Fine-tuned from | google/gemma-4-26b-a4b-it | answerdotai/modernbert-base |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 73.4% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | 49 ms | — |
| p95 latency | — | — |
| Evaluation suite | Sequential requests, the maker's own measurement | AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split) |
| Latest version | 2026.09 | 2026.09 |
| Variants | — | — |
| Size of latest version | 141.9 MB | 574.1 MB |
| Files | 3 | 5 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, gemma, lora, calibrated, 26b | system-one, encoder, modernbert, cross-encoder, tool-routing, preview, 149.6m |
| Updated | Oct 7, 2026 | Oct 7, 2026 |
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
ajev is from Andy Zhang and modernjev-decide from Maziyar Panahi. Both have open weights you can download and run. Both answer choice questions. Only ajev answers score and noul. Only modernjev-decide answers rank and route. modernjev-decide is the smaller model, at 150M parameters to 26B.
Only modernjev-decide publishes an accuracy figure (73.4% on AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split)); ajev does not, so there is no comparison to make without your own test.
ajev: Free (open weights). modernjev-decide: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull andy-zhang/ajev and systemone pull maziyar-panahi/modernjev-decide download the weights.