Hexis-Aurora-12B-v2-Testing is a 12B parameter open-source language model designed for local inference and testing. It is intended for AI researchers and developers who require large models for experimentation and development.
Hexis Aurora 12B V2 Testing is a Foundation models & chat product. It focuses on enabling local testing and inference with a large open-source language model. It is built as an open-source project for AI researchers and developers. Hexis Aurora 12B V2 Testing is open source under the LGPL-3.0 license. It runs on the command line, and it can be self-hosted.
It is developed by WasamiKirua, and the product first shipped in 2023. Development happens publicly on GitHub with 7.2k stars and 6 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Hexis Aurora 12B V2 Testing occupies a relatively distinct niche. Key capabilities include large language model, local inference, and model weights download.
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