This is the AWQ version of the Llama 3.3 70B Instruct model. Find more info here: https://github.com/casper hansen/AutoAWQ. Model Information The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks. Model developer : Meta Model Architecture: Llama 3.3 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 Token count Knowledge cutoff : : : : : : : : : Llama 3.3 (text only) A new mix of publicly available online data. 70B Multilingual Text Multilingual Text and code 128k Yes 15T+ December 2023 Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai. Llama 3.3 model . Token counts refer to pretraining d…
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