Model Information The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks. Model Developer: Meta Model Architecture: Llama 3.2 is an auto regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. Training Data Params Input modalities Output modalities Context Length GQA Shared Embeddings Token count Knowledge cutoff : : : : : : : : : : Llama 3.2 (text only) A new mix of publicly available online data. 1B (1.23B) Multilingual Text Multilingual Text and code 128k Yes Yes Up to 9T tokens December 2023 3B (3.21B) Multilingual Text Multilingual Text and code Supported Languages: English, German, French, Italian, Portuguese, Hindi,…
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