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Andy Zhang: ajev and Omar (kouhxp): gutsy, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | andy-zhang/ajev | kouhxp/gutsy |
|---|---|---|
| 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. | Omar (kouhxp)'s CPU decision model: a Qwen3.5-0.8B fine-tune shipped as GGUF for llama.cpp that answers yes/no, choice and score questions with a probability per option plus a 'none of these' reject probability, served by a local Jev-style HTTP runtime. |
| Decides | choice, score, noul | choice, score, noul, classify, route |
| Architecture | ajev | gutsy |
| Fine-tuned from | google/gemma-4-26b-a4b-it | qwen/qwen3.5-0.8b |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights | Open weights |
| Hosted by | — | — |
| Input price | — | — |
| Decision accuracy | — | 73.2% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | 49 ms | — |
| p95 latency | — | — |
| Evaluation suite | Sequential requests, the maker's own measurement | JevBench public set (231 items; 169 correct), the maker's own run with Q8_0 |
| Latest version | 2026.09 | 0.4.0 |
| Variants | — | LICENSE, gutsy-inference |
| Size of latest version | 141.9 MB | 1.2 GB |
| Files | 3 | 24 |
| Downloads | 0 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, gemma, lora, calibrated, 26b | system-one, qwen, gguf, llama-cpp, cpu, 0.8b |
| 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 gutsy from Omar (kouhxp). Both have open weights you can download and run. Both answer choice, score and noul questions. Only gutsy answers classify and route. gutsy is the smaller model, at 800M parameters to 26B.
Only gutsy publishes an accuracy figure (73.2% on JevBench public set (231 items; 169 correct), the maker's own run with Q8_0); ajev does not, so there is no comparison to make without your own test.
ajev: Free (open weights). gutsy: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull andy-zhang/ajev and systemone pull kouhxp/gutsy download the weights.