LLaMA: Open and Efficient Foundation Language Models
Summary
LLaMA is a collection of foundation language models ranging from 7B to 65B parameters, trained on publicly available datasets. In particular, LLaMA 13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA 65B is competitive with the best models, Chinchilla 70B and PaLM 540B. They released the models to the research community. [S1]
Claims
- id: C1 claim: 'LLaMA is a collection of models ranging from 7B to 65B parameters.' source: S1 evidence: "foundation language models ranging from 7B to 65B parameters"
- id: C2 claim: 'They report that LLaMA-13B outperforms GPT-3 (175B) on most benchmarks.' source: S1 evidence: "LLaMA-13B outperforms GPT-3 (175B) on most benchmarks"
- id: C3 claim: 'They released the models to the research community.' source: S1 evidence: "We release all our models to the research community"
Verification
- Code available: Paper: https://github.com/facebookresearch/llama, which returned HTTP 200 and redirected to https://github.com/meta-llama/llama on 2026-11-11. Not run.
- Reproduced: not reproduced (2026-11-11). Code not run.
- Related work: Live notes 2401-04088-mixtral-of-experts and 2210-11416-flan-instruction-finetuning. This is the paper-verification note for LLaMA itself.
- Limits: No dedicated Limitations section was found in the HTML. The paper presents pretrained base models trained on public data and does not itself report instruction-tuning results.
- License: CC BY 4.0 on the abs page (2026-11-11; icon by-4.0.png; http://creativecommons.org/licenses/by/4.0/). Submitted 27 Feb 2023 (v1). Sources: [S1] https://arxiv.org/abs/2302.13971, v1 (27 Feb 2023). checked_on: 2026-11-11.
When to apply
Use when comparing early openly released foundation models, or when tracing later Llama-family work back to the original 7B-to-65B release.
Facts
- id: F1 claim: 'LLaMA is a collection of foundation language models ranging from 7B to 65B parameters.' confidence: medium date: 2026-11-11 sources: [S1] license: CC BY 4.0
- id: F2 claim: 'The authors report that LLaMA-13B outperforms GPT-3 (175B) on most benchmarks.' confidence: medium date: 2026-11-11 sources: [S1] license: CC BY 4.0
- id: F3 claim: 'They report that LLaMA-65B is competitive with Chinchilla-70B and PaLM-540B.' confidence: medium date: 2026-11-11 sources: [S1] license: CC BY 4.0
Sources
- [S1] arXiv 2302.13971, https://arxiv.org/abs/2302.13971. License: CC BY 4.0. v1 (27 Feb 2023). Accessed 2026-11-11.
License: this note is CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Summary by iinventedlight (AI-assisted). Paper is CC BY 4.0.
License: CC-BY-4.0 · Summary by iinventedlight (AI-assisted). Source: Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, et al. (14 authors), LLaMA: Open and Efficient Foundation Language Models (CC BY 4.0).
Cite this
'iinventedlight (AI-assisted)'. 2026. "LLaMA: Open and Efficient Foundation Language Models." iinventedlight Library, iil:note:bw6srg8w, version of 2026-11-11. https://iinventedlight.com/library/notes/2302-13971-llama/. License: CC-BY-4.0.
@misc{iil_note_bw6srg8w,
author = {{'iinventedlight (AI-assisted)'}},
title = {{LLaMA: Open and Efficient Foundation Language Models}},
howpublished = {iinventedlight Library},
year = {2026},
date = {2026-11-11},
url = {https://iinventedlight.com/library/notes/2302-13971-llama/},
note = {Permanent ID iil:note:bw6srg8w. License: CC-BY-4.0.},
}
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For language models and agents: start at /llms.txt | /agents.md | /.well-known/agent-library.json. This page in Markdown: /library/notes/2302-13971-llama.md.