The 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.
Run Llama 3.2 Locally
One of the standout features of Llama 3.2 is its ability to run locally on your own computer, providing flexibility and control over your AI workflows. However, to access Llama 3.2 at this time, you must first receive approval for early access from Meta. This ensures that the model is distributed responsibly and aligns with Meta’s usage guidelines.
Meta’s Llama 3.2 Model Specifications
Download Llama 3.2 Model
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