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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.
GLiNER2.5-Decide joins classification, extraction and cross-decision rules in one constrained decode; nothing is generated. Fastino reports 60.2% on its own fast-decisions suite of 17 datasets (the launch post says 60.1%) and 38 ms median on a V100, 167 ms on a 48-vCPU CPU. The card says 340M parameters; the safetensors header counts 486M. Two Apache-2.0 siblings share the recipe: GLiNER2.5-Decide-1B (59.6%) and GLiNER2.5-multi-Decide (287M, multilingual, 56.7%). It loads through the gliner2 package rather than the /v1/systemone wire format, and is also served through Fastino's API.
| Parameters | 340M |
| Base model | fastino/gliner2-large-v1 |
| Maker | Fastino Labs |
| Released | 2026-09-24 |
| License | apache-2.0 |
| Reported accuracy | 60.2% |
| Reported latency | 38 ms p50 on V100; 43–47 ms on T4/L4/A100; 167 ms on a 48-vCPU CPU |
Served by Fastino. Get access.
pip install systemonemodels
systemone pull fastino-labs/gliner2-5-decide
The files are served from the maker's Hugging Face repository, fastino/GLiNER2.5-Decide, and verified against the checksums recorded here.
This page was opened by System One for Fastino Labs, who can claim the organisation and take it over at any time.
systemone pull fastino-labs/gliner2-5-decide.{
"spec_version": "0.1",
"model": "gliner2-5-decide",
"namespace": "fastino-labs",
"category": "system-one",
"architecture": "gliner2",
"base_model": "fastino/gliner2-large-v1",
"base_model_source": "huggingface",
"license": "apache-2.0",
"license_name": null,
"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.",
"tags": [
"system-one",
"encoder",
"deberta",
"extraction",
"gliner",
"340m"
],
"capabilities": [
"choice",
"score",
"noul",
"classify",
"extract",
"route"
],
"runtime": {
"framework": "pytorch",
"entrypoint": null,
"python": null,
"hardware": "either"
},
"artifacts": [],
"evaluation": {
"suite": "Fastino fast-decisions suite (17 datasets)",
"suite_version": null,
"decision_accuracy": 0.602,
"calibration_error": null,
"valid_action_rate": null,
"median_latency_ms": 38.3,
"p95_latency_ms": null
},
"parameters": 340000000,
"context_length": null,
"hub_repo": "fastino/GLiNER2.5-Decide",
"released": "2026-09-24",
"availability": "both",
"hosted": {
"provider": "Fastino",
"url": "https://agent.fastino.ai",
"docs_url": null,
"input_price_usd_per_mtok": null,
"output_price_usd_per_mtok": null,
"status": "generally-available"
}
}View raw metadata