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Meta LLaMA

Meta LLaMA efficiently optimizes multi-objective problems using advanced machine learning and meta-optimization techniques.
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Meta LLaMA Web Traffic statistics January, 2025

Declined in all categories
#2889 -201
Global Rank
#2134 -150
US Rank
#29 -5
Large Language Models Rank
-21.43% MoM Decline
14.05K -3.83K
Total Visits
was 17.89K
11.96K -3.37K
Unique Visits
was 15.33K
+0.00% Share Growth
0.00% +0.00%
Global Market Share
was 0.00%
0.10% -0.09%
Large Language Models Market Share
was 0.19%

Gender Distribution

75%
Male Users
25%
Female Users

Device Distribution

48%
Mobile users
52%
Desktop users

Duration & Bounce Rate

02:19 min
Average duration
61%
Bounce Rate

Traffic Trends

Month Page Visits
Feb 12.14K
Mar 6.46K
Apr 34.49K
May 20.44K
Jun 16.61K
Jul 31.94K
Aug 21.72K
Sep 19.16K
Oct 25.55K
Nov 12.56K
Dec 17.89K
Jan 14.05K

Competitor comparison

Month Page Visits
Feb 12.14K
Mar 6.46K
Apr 34.49K
May 20.44K
Jun 16.61K
Jul 31.94K
Aug 21.72K
Sep 19.16K
Oct 25.55K
Nov 12.56K
Dec 17.89K
Jan 14.05K

Meta LLaMA Web Traffic by Country

Location
Traffic
Share
United States United States
4.59K -547.00
32.68%
India India
1.98K -2.06K
14.08%
United Kingdom United Kingdom
700.00 +428.00
4.98%
Spain Spain
505.00 +162.00
3.59%
Pakistan Pakistan
410.00 +349.00
2.92%

AI Website Visits by Traffic Source

Source Traffic Share
Direct 7.97K 57.00%
Organic search 4.41K 31.00%
Referral 1.07K 8.00%
Organic social 392.00 3.00%
Paid search 142.00 1.00%
Paid social 0 0.00%
Mail 35.00 0.00%
Display ads 38.00 0.00%

Meta LLaMA alternatives

Ollama allows users to run, customize, and create large language models across macOS, Linux, and Windows.

Playground by OpenAI lets users explore AI models through interactive demos and experiments.

LM Studio lets you run and discover LLMs offline on your laptop with a user-friendly interface.

Sapling optimizes customer interactions with real-time suggestions and seamless integration into messaging platforms.

TheB.AI is a versatile platform offering free and premium AI models for collaborative teamwork and diverse user needs.