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Omar (kouhxp): gutsy and Convai Innovations: laya-noulxp-gpu, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | kouhxp/gutsy | convai-innovations/laya-noulxp-gpu |
|---|---|---|
| Summary | 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. | 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, classify, route | choice, score, noul, classify, route |
| Architecture | gutsy | laya |
| Fine-tuned from | qwen/qwen3.5-0.8b | convai-innovations/laya |
| 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 | — | — |
| p95 latency | — | — |
| Evaluation suite | JevBench public set (231 items; 169 correct), the maker's own run with Q8_0 | — |
| Latest version | 0.4.0 | 0.1.0 |
| Variants | LICENSE, gutsy-inference | noulxp |
| Size of latest version | 1.2 GB | 958.6 MB |
| Files | 24 | 9 |
| Downloads | 0 | 36 |
| Stars | 0 | 0 |
| Tags | system-one, qwen, gguf, llama-cpp, cpu, 0.8b | 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.
gutsy is from Omar (kouhxp) and laya-noulxp-gpu from Convai Innovations. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. gutsy reads up to 8K tokens of state, against 512 tokens for laya-noulxp-gpu. laya-noulxp-gpu is the smaller model, at 421M parameters to 800M.
Only gutsy publishes an accuracy figure (73.2% on JevBench public set (231 items; 169 correct), the maker's own run with Q8_0); laya-noulxp-gpu does not, so there is no comparison to make without your own test.
gutsy: Free (open weights). laya-noulxp-gpu: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull kouhxp/gutsy and systemone pull convai-innovations/laya-noulxp-gpu download the weights.