This is a hybrid int4/fp8 quantized version of the Qwen3.5-122B-A10B model with full support for image and video inputs. It features sophisticated content rendering for multimodal messages and vision counting. The model balances performance and efficiency for large-scale multimodal applications.
In the Foundation models & chat space, Qwen3.5 122B A10B Int4 Fp8 Hybrid takes a focused approach. It focuses on enabling efficient multimodal inference for a very large Qwen model using hybrid quantization. Qwen3.5 122B A10B Int4 Fp8 Hybrid is an open-source project aimed at developers. The project is open source (MIT). The product ships for the web and API.
It is developed by bleysg, and the product first shipped in 2026. The project is developed in the open on GitHub with 38 stars and 24 commits in the last 90 days. PulseGate's similarity index places it among 16 comparable tools. Among its 4 catalogued features are Vision Support, Video Support, and Hybrid Quantization.
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