LLaMA (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "LLaMA" in Chinese language version.

Last modified: 13:32:03, 22 July 2026 (UTC)

Ref.Un. Ref.Website

Global rank Chinese rank

3330web.archive.org

1^st place

65meta.com

low place

55github.com

380^th place

277^th place

44huggingface.co

low place

6,707^th place

43techcrunch.com

317^th place

455^th place

33theverge.com

208^th place

245^th place

22arxiv.org

49^th place

158^th place

22venturebeat.com

831^st place

843^rd place

21arstechnica.com

473^rd place

477^th place

11facebook.com

78^th place

39^th place

11thepaper.cn

766^th place

43^rd place

11opensource.org

low place

7,310^th place

11theregister.com

2,921^st place

3,716^th place

11x.com

58^th place

187^th place

11archive.today

28^th place

9^th place

11wired.com

254^th place

350^th place

11worldcat.org

4^th place

11abc.net.au

120^th place

297^th place

11q4cdn.com

4,202^nd place

4,035^th place

abc.net.au (Global: 120^th place; Chinese: 297^th place)

Meta's amped-up AI agents confusing Facebook users. ABC News. 2024-04-19 [2024-07-25]. （原始内容存档于2024-09-17）（澳大利亚英语）.

archive.today (Global: 28^th place; Chinese: 9^th place)

The Llama 3 Herd of Models. AI at Meta. [2025-01-14]. （原始内容存档于2024-07-24）（英语）.

arstechnica.com (Global: 473^rd place; Chinese: 477^th place)

Meta launches Llama 2, a source-available AI model that allows commercial applications. [2023-07-21]. （原始内容存档于2023-11-07）.

arxiv.org (Global: 49^th place; Chinese: 158^th place)

Touvron, Hugo; Lavril, Thibaut; Izacard, Gautier; Martinet, Xavier; Lachaux, Marie-Anne; Lacroix, Timothée; Rozière, Baptiste; Goyal, Naman; Hambro, Eric; Azhar, Faisal; Rodriguez, Aurelien; Joulin, Armand; Grave, Edouard; Lample, Guillaume. LLaMA: Open and Efficient Foundation Language Models. 2023. arXiv:2302.13971  [cs.CL].
Can Rager; Chris Wendler; Rohit Gandikota; David Bau. Discovering Forbidden Topics in Language Models [发现语言模型中的禁忌话题]. arXiv. 2025-06-11 [2025-08-03]. （原始内容存档于2025-06-12）（英语）.

facebook.com (Global: 78^th place; Chinese: 39^th place)

ai.facebook.com

Introducing LLaMA: A foundational, 65-billion-parameter large language model. Meta AI. 2023-02-24 [2023-06-14]. （原始内容存档于2023-03-03）.

github.com (Global: 380^th place; Chinese: 277^th place)

llama3/LICENSE at main · meta-llama/llama3. GitHub. [2024-05-25]. （原始内容存档于2024-05-24）（英语）.
llama/MODEL_CARD.md at main · meta-llama/llama. GitHub. [2024-05-28]. （原始内容存档于2024-05-28）（英语）.
llama3/MODEL_CARD.md at main · meta-llama/llama3. GitHub. [2024-05-28]. （原始内容存档于2024-05-21）（英语）.
llama-models/models/llama3_1/MODEL_CARD.md at main · meta-llama/llama-models. GitHub. [2024-07-23]. （原始内容存档于2024-07-23）（英语）.
RedPajama-Data: An Open Source Recipe to Reproduce LLaMA training dataset. GitHub. Together. [2023-05-04]. （原始内容存档于2023-11-07）.

huggingface.co (Global: low place; Chinese: 6,707^th place)

meta-llama/Llama-4-Maverick-17B-128E · Hugging Face. huggingface.co. 2025-04-05 [2025-04-06]. （原始内容存档于2026-05-21）.
meta-llama/Llama-4-Maverick-17B-128E · Hugging Face. huggingface.co. 2025-04-05 [2025-04-06]. （原始内容存档于2026-05-21）.
The Falcon has landed in the Hugging Face ecosystem. huggingface.co. [2023-06-20]. （原始内容存档于2023-06-20）.
RedPajama-Data-1T. Hugging Face. Together. [2023-05-04]. （原始内容存档于2023-11-03）.

meta.com (Global: low place; Chinese: low place)

ai.meta.com

The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation. [2025年12月16日] （英語）.
Code Llama: Open Foundation Models for Code. AI at Meta. [2025-01-14]. （原始内容存档于2023-11-01）.
Introducing Meta Llama 3: The most capable openly available LLM to date. ai.meta.com. 2024-04-18 [2024-04-21]. （原始内容存档于2024-05-15）（英语）.
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation. ai.meta.com. [2025-04-05]. （原始内容存档于2025-04-05）（英语）.
The Llama 3 Herd of Models. AI at Meta. [2025-01-14]. （原始内容存档于2024-07-24）（英语）.

opensource.org (Global: low place; Chinese: 7,310^th place)

blog.opensource.org

Maffulli, Stefano. Meta’s LLaMa 2 license is not Open Source. Voices of Open Source. 2023-07-20 [2023-08-29]. （原始内容存档于2023-10-10）（美国英语）.

q4cdn.com (Global: 4,202^nd place; Chinese: 4,035^th place)

s21.q4cdn.com

META Q4 2023 Earnings Call Transcript (PDF). [2024-07-25]. （原始内容存档 (PDF)于2024-09-17）.

techcrunch.com (Global: 317^th place; Chinese: 455^th place)

Wiggers, Kyle. Meta releases Code Llama, a code-generating AI model. TechCrunch. 2023-08-24 [2025-01-14]. （原始内容存档于2023-11-11）（美国英语）.
Wiggers, Kyle. Meta releases Llama 3, claims it's among the best open models available. TechCrunch. 2024-04-18 [2024-04-19]. （原始内容存档于2024-09-18）.
Wiggers, Kyle. Meta's benchmarks for its new AI models are a bit misleading. TechCrunch. 2025-04-06 [2025-04-08]. （原始内容存档于2026-06-29）.

thepaper.cn (Global: 766^th place; Chinese: 43^rd place)

m.thepaper.cn

差一步称霸AI：历史进程中的扎克伯格, 远川研究所, 澎湃. [2023-06-28]. （原始内容存档于2023-06-28）.

theregister.com (Global: 2,921^st place; Chinese: 3,716^th place)

Mann, Tobias. Meta debuts third-generation Llama large language model. www.theregister.com. [2024-07-25]. （原始内容存档于2024-08-25）（英语）.

theverge.com (Global: 208^th place; Chinese: 245^th place)

Vincent, James. Meta's powerful AI language model has leaked online — what happens now?. The Verge. 2023-03-08 [2023-06-14]. （原始内容存档于2023-11-03）.
Robison, Kylie. Meta got caught gaming AI benchmarks. The Verge. 2025-04-08 [2025-04-08]. （原始内容存档于2026-07-14）.
Robison, Kylie. Meta got caught gaming AI benchmarks. The Verge. 2025-04-08 [2025-04-08]. （原始内容存档于2026-07-14）.

venturebeat.com (Global: 831^st place; Chinese: 843^rd place)

LLaMA 2: How to access and use Meta’s versatile open-source chatbot right now. [2023-07-20]. （原始内容存档于2023-11-03）.
Franzen, Carl. Meta defends Llama 4 release against ‘reports of mixed quality,’ blames bugs. VentureBeat. 2025-04-08 [2025-04-08]. （原始内容存档于2025-08-30）.

web.archive.org (Global: 1^st place; Chinese: 1^st place)

llama3/LICENSE at main · meta-llama/llama3. GitHub. [2024-05-25]. （原始内容存档于2024-05-24）（英语）.
Introducing LLaMA: A foundational, 65-billion-parameter large language model. Meta AI. 2023-02-24 [2023-06-14]. （原始内容存档于2023-03-03）.
Vincent, James. Meta's powerful AI language model has leaked online — what happens now?. The Verge. 2023-03-08 [2023-06-14]. （原始内容存档于2023-11-03）.
差一步称霸AI：历史进程中的扎克伯格, 远川研究所, 澎湃. [2023-06-28]. （原始内容存档于2023-06-28）.
Meta launches Llama 2, a source-available AI model that allows commercial applications. [2023-07-21]. （原始内容存档于2023-11-07）.
LLaMA 2: How to access and use Meta’s versatile open-source chatbot right now. [2023-07-20]. （原始内容存档于2023-11-03）.
Maffulli, Stefano. Meta’s LLaMa 2 license is not Open Source. Voices of Open Source. 2023-07-20 [2023-08-29]. （原始内容存档于2023-10-10）（美国英语）.
Code Llama: Open Foundation Models for Code. AI at Meta. [2025-01-14]. （原始内容存档于2023-11-01）.
Wiggers, Kyle. Meta releases Code Llama, a code-generating AI model. TechCrunch. 2023-08-24 [2025-01-14]. （原始内容存档于2023-11-11）（美国英语）.
Introducing Meta Llama 3: The most capable openly available LLM to date. ai.meta.com. 2024-04-18 [2024-04-21]. （原始内容存档于2024-05-15）（英语）.
Wiggers, Kyle. Meta releases Llama 3, claims it's among the best open models available. TechCrunch. 2024-04-18 [2024-04-19]. （原始内容存档于2024-09-18）.
Mann, Tobias. Meta debuts third-generation Llama large language model. www.theregister.com. [2024-07-25]. （原始内容存档于2024-08-25）（英语）.
meta-llama/Llama-4-Maverick-17B-128E · Hugging Face. huggingface.co. 2025-04-05 [2025-04-06]. （原始内容存档于2026-05-21）.
The Llama 4 herd: The beginning of a new era of natively multimodal AI innovation. ai.meta.com. [2025-04-05]. （原始内容存档于2025-04-05）（英语）.
meta-llama/Llama-4-Maverick-17B-128E · Hugging Face. huggingface.co. 2025-04-05 [2025-04-06]. （原始内容存档于2026-05-21）.
Robison, Kylie. Meta got caught gaming AI benchmarks. The Verge. 2025-04-08 [2025-04-08]. （原始内容存档于2026-07-14）.
Wiggers, Kyle. Meta's benchmarks for its new AI models are a bit misleading. TechCrunch. 2025-04-06 [2025-04-08]. （原始内容存档于2026-06-29）.
Robison, Kylie. Meta got caught gaming AI benchmarks. The Verge. 2025-04-08 [2025-04-08]. （原始内容存档于2026-07-14）.
Franzen, Carl. Meta defends Llama 4 release against ‘reports of mixed quality,’ blames bugs. VentureBeat. 2025-04-08 [2025-04-08]. （原始内容存档于2025-08-30）.
The Falcon has landed in the Hugging Face ecosystem. huggingface.co. [2023-06-20]. （原始内容存档于2023-06-20）.
llama/MODEL_CARD.md at main · meta-llama/llama. GitHub. [2024-05-28]. （原始内容存档于2024-05-28）（英语）.
Andrej Karpathy (@karpathy) on X. X (formerly Twitter). [2025-01-14]. （原始内容存档于2024-08-17）（英语）.
llama3/MODEL_CARD.md at main · meta-llama/llama3. GitHub. [2024-05-28]. （原始内容存档于2024-05-21）（英语）.
llama-models/models/llama3_1/MODEL_CARD.md at main · meta-llama/llama-models. GitHub. [2024-07-23]. （原始内容存档于2024-07-23）（英语）.
RedPajama-Data: An Open Source Recipe to Reproduce LLaMA training dataset. GitHub. Together. [2023-05-04]. （原始内容存档于2023-11-07）.
RedPajama-Data-1T. Hugging Face. Together. [2023-05-04]. （原始内容存档于2023-11-03）.
Knight, Will. Meta’s Open Source Llama 3 Is Already Nipping at OpenAI’s Heels. Wired. [2024-07-25]. ISSN 1059-1028. （原始内容存档于2024-09-27）（美国英语）.
Meta's amped-up AI agents confusing Facebook users. ABC News. 2024-04-19 [2024-07-25]. （原始内容存档于2024-09-17）（澳大利亚英语）.
META Q4 2023 Earnings Call Transcript (PDF). [2024-07-25]. （原始内容存档 (PDF)于2024-09-17）.
Can Rager; Chris Wendler; Rohit Gandikota; David Bau. Discovering Forbidden Topics in Language Models [发现语言模型中的禁忌话题]. arXiv. 2025-06-11 [2025-08-03]. （原始内容存档于2025-06-12）（英语）.

wired.com (Global: 254^th place; Chinese: 350^th place)

Knight, Will. Meta’s Open Source Llama 3 Is Already Nipping at OpenAI’s Heels. Wired. [2024-07-25]. ISSN 1059-1028. （原始内容存档于2024-09-27）（美国英语）.

worldcat.org (Global: 4^th place; Chinese: 4^th place)

Knight, Will. Meta’s Open Source Llama 3 Is Already Nipping at OpenAI’s Heels. Wired. [2024-07-25]. ISSN 1059-1028. （原始内容存档于2024-09-27）（美国英语）.

x.com (Global: 58^th place; Chinese: 187^th place)

Andrej Karpathy (@karpathy) on X. X (formerly Twitter). [2025-01-14]. （原始内容存档于2024-08-17）（英语）.

LLaMA (Chinese Wikipedia)

abc.net.au (Global: 120th place; Chinese: 297th place)

archive.today (Global: 28th place; Chinese: 9th place)

arstechnica.com (Global: 473rd place; Chinese: 477th place)

arxiv.org (Global: 49th place; Chinese: 158th place)

facebook.com (Global: 78th place; Chinese: 39th place)

ai.facebook.com

github.com (Global: 380th place; Chinese: 277th place)

huggingface.co (Global: low place; Chinese: 6,707th place)

meta.com (Global: low place; Chinese: low place)

ai.meta.com

opensource.org (Global: low place; Chinese: 7,310th place)

blog.opensource.org

q4cdn.com (Global: 4,202nd place; Chinese: 4,035th place)

s21.q4cdn.com

techcrunch.com (Global: 317th place; Chinese: 455th place)

thepaper.cn (Global: 766th place; Chinese: 43rd place)

m.thepaper.cn

theregister.com (Global: 2,921st place; Chinese: 3,716th place)

theverge.com (Global: 208th place; Chinese: 245th place)

venturebeat.com (Global: 831st place; Chinese: 843rd place)

web.archive.org (Global: 1st place; Chinese: 1st place)

wired.com (Global: 254th place; Chinese: 350th place)

worldcat.org (Global: 4th place; Chinese: 4th place)

x.com (Global: 58th place; Chinese: 187th place)

abc.net.au (Global: 120^th place; Chinese: 297^th place)

archive.today (Global: 28^th place; Chinese: 9^th place)

arstechnica.com (Global: 473^rd place; Chinese: 477^th place)

arxiv.org (Global: 49^th place; Chinese: 158^th place)

facebook.com (Global: 78^th place; Chinese: 39^th place)

github.com (Global: 380^th place; Chinese: 277^th place)

huggingface.co (Global: low place; Chinese: 6,707^th place)

opensource.org (Global: low place; Chinese: 7,310^th place)

q4cdn.com (Global: 4,202^nd place; Chinese: 4,035^th place)

techcrunch.com (Global: 317^th place; Chinese: 455^th place)

thepaper.cn (Global: 766^th place; Chinese: 43^rd place)

theregister.com (Global: 2,921^st place; Chinese: 3,716^th place)

theverge.com (Global: 208^th place; Chinese: 245^th place)

venturebeat.com (Global: 831^st place; Chinese: 843^rd place)

web.archive.org (Global: 1^st place; Chinese: 1^st place)

wired.com (Global: 254^th place; Chinese: 350^th place)

worldcat.org (Global: 4^th place; Chinese: 4^th place)

x.com (Global: 58^th place; Chinese: 187^th place)