Techmeme: Internal documents: Meta earned $18B+ in annual ad …
20 hours ago · Internal documents: Meta earned $18B+ in annual ad sales from China in 2024, making up 10%+ of its global revenue, with $3B+ linked to fraudulent ads like scams — A Reuters …
Meta’s China ad engine earmarked more than $3B from
18 hours ago · Meta made more than $3B from China-linked scam, gambling, and porn ads in 2024. Meta cut these ads briefly, then paused the crackdown after Mark Zuckerberg intervened. Fraud …
LIVE: Meta China Ad Scam Exposed | $3B Fraudulent Revenue
1 day ago · Internal documents reveal Meta knowingly ran fraudulent ads from China on Facebook and Instagram, generating billions in revenue despite scams, gambling, and...
Meta earned $18B from China in 2024, including $3B from banned ads ...
11 hours ago · Meta earned $18B from China in 2024, including $3B from banned ads, despite warnings and a failed anti-fraud effort.
Meta’s China ad engine earmarked more than $3B from fraudulent …
Meta faced a grim truth last year when it found that Chinese advertisers were pumping Facebook, Instagram, and WhatsApp with harmful ads that targeted users
LLama 3.2 1B and 3B: small but mighty! - Medium
Sep 29, 2024 · MetaAI has just launched Llama-3.2, a new suite of models that includes two impressively lightweight large language models (LLMs) with 1 billion (1B) and 3 billion (3B) …
Internal documents: Meta earned $18B+ in annual ad sales from China …
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Llama 3.2 - a unsloth Collection - Hugging Face
Dec 4, 2024 · Meta's new Llama 3.2 vision and text models including 1B, 3B, 11B and 90B. Includes GGUF, 4-bit bnb and original versions.
Llama 3.2 | Model Cards and Prompt formats
Some developers might want to quantize their fine-tuned 1B and 3B models, or quantize the models for different targets with different quantization settings. For this reason we also provide the methodology …
Introducing quantized Llama models with increased speed and a …
Oct 24, 2024 · Today, we’re sharing quantized versions of Llama 3.2 1B and 3B models. These models offer a reduced memory footprint, faster on-device inference, accuracy, and portability—all while …