This is an AWQ INT4 quantized version of Meta's Llama 3.3 70B Instruct model. It enables efficient local or server-based inference while preserving most of the original model's capabilities, including tool use and reasoning. The model is hosted on Hugging Face.
Meta Llama 3.3 70B Instruct is a Foundation models & chat product. It focuses on deploying the large Llama 3.3 70B model with significantly reduced memory footprint via INT4 quantization. Meta Llama 3.3 70B Instruct is an open-source project aimed at machine learning developers. The project is open source (MIT). The product ships for the command line and API.
Meta builds and maintains Meta Llama 3.3 70B Instruct, and the product first shipped in 2023. The GitHub repository has been archived. PulseGate's similarity index places it among 9 comparable tools. Among its 3 catalogued features are 4-bit quantization, instruct tuned, and tool use support.
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ibnzterrell/Meta-Llama-3.3-70B-Instruct-AWQ-INT4 verified by the PulseGate indexer
⚠ Archived
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