{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "touvron-et-al-llama-2023", "title": "Touvron and colleagues: the LLaMA foundation-model family", "summary": "Developed a family of 7B–65B-parameter foundation language models trained on publicly available datasets and reported competitive language-task performance relative to much larger contemporary models.", "boundary": "The exact 2023 LLaMA paper is distinct from later Llama 2/3 releases. 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detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Naman Goyal", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Eric Hambro", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Faisal Azhar", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Aurelien Rodriguez", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Armand Joulin", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Edouard Grave", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "attribution_basis": "SOURCE_CITED", "credit": "historical_scientific", "entity_kind": "historical_person", "name": "Guillaume Lample", "note": "Archive attribution; detailed role assignment remains source-bound", "roles": [ "formulator" ], "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } } ], "evidence": [ { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-0", "kind": "source_reference", "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" } }, { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-1", "kind": "source_reference", "source": { "citation": "LLaMA: Open and Efficient Foundation Language Models — AI at Meta", "url": "https://ai.meta.com/research/publications/llama-open-and-efficient-foundation-language-models/" } } ], "origin": "HUMAN_LEGACY", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "The exact 2023 LLaMA paper is distinct from later Llama 2/3 releases. Its reported comparisons are benchmark- and setup-specific; this record makes no claim about unrestricted public access or all downstream safety properties.", "domain": "Foundation language models" }, "sources": [ { "citation": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1" }, { "citation": "LLaMA: Open and Efficient Foundation Language Models — AI at Meta", "url": "https://ai.meta.com/research/publications/llama-open-and-efficient-foundation-language-models/" } ], "statement": "# Touvron and colleagues: the LLaMA foundation-model family\n\nDeveloped a family of 7B–65B-parameter foundation language models trained on publicly available datasets and reported competitive language-task performance relative to much larger contemporary models.\n\n## Scientific scope\n\nThe exact 2023 LLaMA paper is distinct from later Llama 2/3 releases. Its reported comparisons are benchmark- and setup-specific; this record makes no claim about unrestricted public access or all downstream safety properties.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nHugo Touvron; Thibaut Lavril; Gautier Izacard; Xavier Martinet; Marie-Anne Lachaux; Timothée Lacroix; Baptiste Rozière; Naman Goyal; Eric Hambro; Faisal Azhar; Aurelien Rodriguez; Armand Joulin; Edouard Grave; Guillaume Lample\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [LLaMA: Open and Efficient Foundation Language Models](https://arxiv.org/abs/2302.13971v1)\n- [LLaMA: Open and Efficient Foundation Language Models — AI at Meta](https://ai.meta.com/research/publications/llama-open-and-efficient-foundation-language-models/)\n", "summary": "Developed a family of 7B–65B-parameter foundation language models trained on publicly available datasets and reported competitive language-task performance relative to much larger contemporary models.", "title": "Touvron and colleagues: the LLaMA foundation-model family" }, "record_id": "urn:uuid:9ba264c9-1e3a-4422-a4f8-f33a5594046e", "version": 1, "source_ref": { "record_id": "urn:uuid:9ba264c9-1e3a-4422-a4f8-f33a5594046e", "version": 1, "content_hash": "sha256:025c293a55ebfba3378023df1d93e3fc03e64cb7bb396c608ecdfbc75a7ae08f" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:52ea01a3ec52ef5f8aa946db92174c68eac799384a03e5843779e7ba0b8a9ac2" }, "target": { "record_id": "urn:uuid:9ba264c9-1e3a-4422-a4f8-f33a5594046e", "version": 1, "content_hash": "sha256:025c293a55ebfba3378023df1d93e3fc03e64cb7bb396c608ecdfbc75a7ae08f" }, "published_grade": { "profile": "wrs-published-grade-1", "edition": "2026-10-28.1", "id": "touvron-et-al-llama-2023", "entry_id": "touvron-et-al-llama-2023", "revision": 1, "title": "Touvron and colleagues: the LLaMA foundation-model family", "context": "Foundation language models", "track": "Human-designed AI research method or resource", "band": "B", "modifier": null, "status": "PROVISIONAL_EDITORIAL", "assessed_on": "2026-09-27", "evidence_cutoff": "2026-09-27", "achievement_state": "SUPPORTED_SCOPED_RESULT", "what_changed": "Developed a family of 7B–65B-parameter foundation language models trained on publicly available datasets and reported competitive language-task performance relative to much larger contemporary models.", "scope": "Developed a family of 7B–65B-parameter foundation language models trained on publicly available datasets and reported competitive language-task performance relative to much larger contemporary models. Scope limitation: The exact 2023 LLaMA paper is distinct from later Llama 2/3 releases. Its reported comparisons are benchmark- and setup-specific; this record makes no claim about unrestricted public access or all downstream safety properties.", "evidence_summary": "The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. The exact 2023 LLaMA paper is distinct from later Llama 2/3 releases. Its reported comparisons are benchmark- and setup-specific; this record makes no claim about unrestricted public access or all downstream safety properties.", "references": [ { "title": "LLaMA: Open and Efficient Foundation Language Models", "url": "https://arxiv.org/abs/2302.13971v1", "locator": "Abstract and complete bibliographic byline for 2302.13971v1; not an independent proof or experimental replication." }, { "title": "LLaMA: Open and Efficient Foundation Language Models — AI at Meta", "url": "https://ai.meta.com/research/publications/llama-open-and-efficient-foundation-language-models/", "locator": "Source-linked contribution and stated scientific limits; not an independent replication." } ], "roles": [ { "who": "The named authors listed in the linked research record", "credit": "SCIENCE", "did": "Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured." } ], "target": { "record_id": "urn:uuid:9ba264c9-1e3a-4422-a4f8-f33a5594046e", "version": 1, "content_hash": "sha256:025c293a55ebfba3378023df1d93e3fc03e64cb7bb396c608ecdfbc75a7ae08f" }, "scientific_correctness_certified": false, "independent_expert_calibration": false, "method": "PROPRIETARY", "points": "30000" }, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }