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Andy Zhang: ajev and Convai Innovations: laya-noulxp-gpu, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | andy-zhang/ajev | convai-innovations/laya-noulxp-gpu |
|---|---|---|
| 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. | Unofficial NoulXP package of Convai Innovations' Laya (English) (Apache-2.0), fp16: checked against the model's own answers, none changed. Not made by Convai Innovations. |
| Decides | choice, score, noul | choice, score, noul, classify, route |
| Architecture | ajev | laya |
| Fine-tuned from | google/gemma-4-26b-a4b-it | convai-innovations/laya |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | — |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | 49 ms | — |
| p95 latency | — | — |
| Evaluation suite | Sequential requests, the maker's own measurement | — |
| Latest version | 2026.09 | 0.1.0 |
| Variants | — | noulxp |
| Size of latest version | 141.9 MB | 958.6 MB |
| Files | 3 | 9 |
| Downloads | 0 | 36 |
| Stars | 0 | 0 |
| Tags | system-one, gemma, lora, calibrated, 26b | noulxp, unofficial, onnx, fp16, encoder, modernbert, rlcd |
| Updated | Oct 7, 2026 | Oct 24, 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 laya-noulxp-gpu from Convai Innovations. Both have open weights you can download and run. Both answer choice, score and noul questions. Only laya-noulxp-gpu answers classify and route. laya-noulxp-gpu is the smaller model, at 421M parameters to 26B.
Neither publishes an accuracy figure. Test both on your own labelled examples.
ajev: Free (open weights). laya-noulxp-gpu: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull andy-zhang/ajev and systemone pull convai-innovations/laya-noulxp-gpu download the weights.