{ "benchmark": "SOV-OSS", "generated": "2026-08-04T15:21:24.877997+00:00", "subjects": 6, "rows": [ { "subject": "Qwen/Qwen2.5-0.5B-Instruct", "surface": "huggingface model card", "readable": true, "checks": { "copyright_policy": { "status": "absent", "provision": "EU AI Act Art 53(1)(c)", "evidence": null, "means": "no such artefact found on the public surface" }, "training_data_summary": { "status": "absent", "provision": "EU AI Act Art 53(1)(d)", "evidence": null, "means": "no such artefact found on the public surface" }, "sbom": { "status": "absent", "provision": "Cyber Resilience Act (SBOM)", "evidence": null, "means": "no such artefact found on the public surface" }, "vuln_policy": { "status": "absent", "provision": "CRA Art 24 (Open Source Steward)", "evidence": null, "means": "no such artefact found on the public surface" }, "release_signed": { "status": "absent", "provision": "OpenSSF Model Signing / continuity axis", "evidence": null, "means": "no such artefact found on the public surface" } } }, { "subject": "meta-llama/Llama-3.1-8B-Instruct", "surface": "huggingface model card", "readable": true, "checks": { "copyright_policy": { "status": "absent", "provision": "EU AI Act Art 53(1)(c)", "evidence": null, "means": "no such artefact found on the public surface" }, "training_data_summary": { "status": "present", "provision": "EU AI Act Art 53(1)(d)", "evidence": "d safety. ", "means": "an artefact matching this obligation is publicly present" }, "sbom": { "status": "absent", "provision": "Cyber Resilience Act (SBOM)", "evidence": null, "means": "no such artefact found on the public surface" }, "vuln_policy": { "status": "absent", "provision": "CRA Art 24 (Open Source Steward)", "evidence": null, "means": "no such artefact found on the public surface" }, "release_signed": { "status": "absent", "provision": "OpenSSF Model Signing / continuity axis", "evidence": null, "means": "no such artefact found on the public surface" } } }, { "subject": "mistralai/Mistral-7B-Instruct-v0.3", "surface": "huggingface model card", "readable": true, "checks": { "copyright_policy": { "status": "absent", "provision": "EU AI Act Art 53(1)(c)", "evidence": null, "means": "no such artefact found on the public surface" }, "training_data_summary": { "status": "absent", "provision": "EU AI Act Art 53(1)(d)", "evidence": null, "means": "no such artefact found on the public surface" }, "sbom": { "status": "absent", "provision": "Cyber Resilience Act (SBOM)", "evidence": null, "means": "no such artefact found on the public surface" }, "vuln_policy": { "status": "absent", "provision": "CRA Art 24 (Open Source Steward)", "evidence": null, "means": "no such artefact found on the public surface" }, "release_signed": { "status": "absent", "provision": "OpenSSF Model Signing / continuity axis", "evidence": null, "means": "no such artefact found on the public surface" } } }, { "subject": "google/gemma-2-9b-it", "surface": "huggingface model card", "readable": true, "checks": { "copyright_policy": { "status": "absent", "provision": "EU AI Act Art 53(1)(c)", "evidence": null, "means": "no such artefact found on the public surface" }, "training_data_summary": { "status": "present", "provision": "EU AI Act Art 53(1)(d)", "evidence": "ata was processed. ### Training Dataset These models were trained on a dataset of text data that includes a wide variety of sour", "means": "an artefact matching this obligation is publicly present" }, "sbom": { "status": "absent", "provision": "Cyber Resilience Act (SBOM)", "evidence": null, "means": "no such artefact found on the public surface" }, "vuln_policy": { "status": "absent", "provision": "CRA Art 24 (Open Source Steward)", "evidence": null, "means": "no such artefact found on the public surface" }, "release_signed": { "status": "absent", "provision": "OpenSSF Model Signing / continuity axis", "evidence": null, "means": "no such artefact found on the public surface" } } }, { "subject": "microsoft/Phi-3.5-mini-instruct", "surface": "huggingface model card", "readable": true, "checks": { "copyright_policy": { "status": "absent", "provision": "EU AI Act Art 53(1)(c)", "evidence": null, "means": "no such artefact found on the public surface" }, "training_data_summary": { "status": "present", "provision": "EU AI Act Art 53(1)(d)", "evidence": "ni is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available ", "means": "an artefact matching this obligation is publicly present" }, "sbom": { "status": "absent", "provision": "Cyber Resilience Act (SBOM)", "evidence": null, "means": "no such artefact found on the public surface" }, "vuln_policy": { "status": "absent", "provision": "CRA Art 24 (Open Source Steward)", "evidence": null, "means": "no such artefact found on the public surface" }, "release_signed": { "status": "absent", "provision": "OpenSSF Model Signing / continuity axis", "evidence": null, "means": "no such artefact found on the public surface" } } }, { "subject": "tiiuae/falcon-mamba-7b-instruct", "surface": "huggingface model card", "readable": true, "checks": { "copyright_policy": { "status": "absent", "provision": "EU AI Act Art 53(1)(c)", "evidence": null, "means": "no such artefact found on the public surface" }, "training_data_summary": { "status": "present", "provision": "EU AI Act Art 53(1)(d)", "evidence": "(outputs[0])) ```
# Training Details ## Training Data Falcon-Mamba has been trained with ~ 5,500 GT mainly comin", "means": "an artefact matching this obligation is publicly present" }, "sbom": { "status": "absent", "provision": "Cyber Resilience Act (SBOM)", "evidence": null, "means": "no such artefact found on the public surface" }, "vuln_policy": { "status": "absent", "provision": "CRA Art 24 (Open Source Steward)", "evidence": null, "means": "no such artefact found on the public surface" }, "release_signed": { "status": "absent", "provision": "OpenSSF Model Signing / continuity axis", "evidence": null, "means": "no such artefact found on the public surface" } } } ], "per_check": { "copyright_policy": { "provision": "EU AI Act Art 53(1)(c)", "why_it_survives_the_exemption": "A policy to comply with EU copyright law. NOT waived by the open-source exemption \u2014 it applies to every GPAI provider throughout each model's lifecycle.", "present": 0, "of_measured": 6, "unmeasured": 0 }, "training_data_summary": { "provision": "EU AI Act Art 53(1)(d)", "why_it_survives_the_exemption": "A sufficiently detailed public summary of training content, per the AI Office template. NOT waived by the open-source exemption.", "present": 4, "of_measured": 6, "unmeasured": 0 }, "sbom": { "provision": "Cyber Resilience Act (SBOM)", "why_it_survives_the_exemption": "A software bill of materials \u2014 a formal record of components and supply-chain relationships. CRA reporting obligations begin September 2026.", "present": 0, "of_measured": 6, "unmeasured": 0 }, "vuln_policy": { "provision": "CRA Art 24 (Open Source Steward)", "why_it_survives_the_exemption": "A cybersecurity/vulnerability-handling policy. A Steward's duties are lighter than a Manufacturer's but are statutory.", "present": 0, "of_measured": 6, "unmeasured": 0 }, "release_signed": { "provision": "OpenSSF Model Signing / continuity axis", "why_it_survives_the_exemption": "Is the release cryptographically signed? Unsigned artefacts cannot be attested, and the continuity axis cannot score a chain that does not exist.", "present": 0, "of_measured": 6, "unmeasured": 0 } }, "scope": "Measures PRESENCE of publicly-required artefacts against named provisions. Presence is not adequacy and this is not a compliance verdict \u2014 a summary can exist and be worthless, and judging its sufficiency is adjudication, which we refuse.", "not_determined": "Whether a subject IS a GPAI model, or its provider IS an Open Source Steward, are legal classifications this does not make.", "composite_score": "REFUSED BY DESIGN \u2014 per-provision only, never merged", "corpus_anchor": { "corpus_root": "3729b52eb469b77c6501056889460e9fcd45fc0127bc59b002863b28db3ef01d", "provisions": 417, "normaliser_version": "1.0.0", "anchored_at": "2026-08-04T15:21:25.112893+00:00", "retro": false, "note": "Anchored at write time by anchored_write.write_result()." } }
Training Data Params