This repository hosts an Intel-optimized, AutoRound-quantized version of the Qwen3.5-122B-A10B model in int4 precision. It enables running this large multimodal model on more accessible hardware while maintaining good performance. The model is suitable for advanced AI research and local inference applications.
Qwen3.5 122B A10B Int4 AutoRound is a Foundation models & chat product. It focuses on deploying a very large language model efficiently on hardware with limited memory using quantization techniques. Qwen3.5 122B A10B Int4 AutoRound is an open-source project aimed at developers. The project is open source (Apache-2.0). It runs on the web, the command line, and API.
Intel builds and maintains Qwen3.5 122B A10B Int4 AutoRound, and the product first shipped in 2024. The project is developed in the open on GitHub with 1.5k stars and 168 commits in the last 90 days. Among its 3 catalogued features are Large Language Model, INT4 Quantization, and Intel Optimized.
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