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Meta launches open source Llama 3.3, shrinking powerful bigger model into smaller size
The 70B-Llama 3.3 is specifically optimized for cost-effective inference, with token generation costs as low as $0.01 per million tokens.
Meta’s VP of generative AI, Ahmad Al-Dahle took to rival social network X today to announce the release of Llama 3.3, the latest open-source multilingual large language model (LLM) from the parent company of Facebook, Instagram, WhatsApp and Quest VR. Llama 3.3 leads in multilingual reasoning tasks with a 91.1% accuracy rate on MGSM, demonstrating its effectiveness in supporting languages such as German, French, Italian, Hindi, Portuguese, Spanish, and Thai, in addition to English. The model introduces several enhancements, including a longer context window of 128k tokens (comparable to GPT-4o, about 400 pages of book text), making it suitable for long-form content generation and other advanced use cases.
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