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Fastino Labs: gliner2-5-decide and Omar (kouhxp): gutsy, compared on what they decide, where they run, what they cost and what their publishers report.
| Property | fastino-labs/gliner2-5-decide | kouhxp/gutsy |
|---|---|---|
| Summary | Fastino's open-weight decision model. A DeBERTa-v3-large encoder that scores label sets supplied at runtime, answers single-label, multi-label, yes/no and ordinal questions in one pass, and extracts spans and relations. | 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, classify, extract, route | choice, score, noul, classify, route |
| Architecture | gliner2 | gutsy |
| Fine-tuned from | fastino/gliner2-large-v1 | qwen/qwen3.5-0.8b |
| License | apache-2.0 | apache-2.0 |
| Availability | Open weights + hosted API | Open weights |
| Hosted by | Fastino | — |
| Input price | — | — |
| Decision accuracy | 60.2% | 73.2% |
| Calibration error | — | — |
| Valid action rate | — | — |
| Median latency | 38.3 ms | — |
| p95 latency | — | — |
| Evaluation suite | Fastino fast-decisions suite (17 datasets) | JevBench public set (231 items; 169 correct), the maker's own run with Q8_0 |
| Latest version | 2026.09.25 | 0.4.0 |
| Variants | encoder_config | LICENSE, gutsy-inference |
| Size of latest version | 1.8 GB | 1.2 GB |
| Files | 6 | 24 |
| Downloads | 39 | 0 |
| Stars | 0 | 0 |
| Tags | system-one, encoder, deberta, extraction, gliner, 340m | 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.
gliner2-5-decide is from Fastino Labs and gutsy from Omar (kouhxp). gliner2-5-decide has open weights and a hosted API; gutsy has open weights you can download and run. Both answer choice, score, noul, classify and route questions. Only gliner2-5-decide answers extract. gliner2-5-decide is the smaller model, at 340M parameters to 800M.
They report on different suites — gliner2-5-decide 60.2% on Fastino fast-decisions suite (17 datasets), gutsy 73.2% on JevBench public set (231 items; 169 correct), the maker's own run with Q8_0 — so the numbers do not rank them. Test both on your own labelled examples.
gliner2-5-decide: Hosted, price not published, or free to self-host. gutsy: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Yes, both: systemone pull fastino-labs/gliner2-5-decide and systemone pull kouhxp/gutsy download the weights.