Model Overview Description: The txn545/Qwen3.5 122B A10B NVFP4 model is a quantized version of Alibaba's Qwen3.5 122B A10B model, an auto regressive language model that uses an optimized transformer architecture. For more information on the base model, please check here. This model was quantized using the NVIDIA Model Optimizer. This model is ready for commercial/non commercial use. Third Party Community Consideration This model is built upon a third party base model; see the link to the Non NVIDIA (Qwen3.5 122B A10B) Model Card for original requirements and use cases. License/Terms of Use: Apache license 2.0 Deployment Geography: Global Use Case: Developers looking to take off the shelf, pre quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI powered applications. Release Date: Huggingface 02/25/2026 via https://huggingface.co/txn545/Qwen3.5 122B A10B NVFP4 Model Architecture: Architecture Type: Transformers Network Architecture: Qwen3.5 122B A10B Number of Model Parameters: 122B in total and 10B activated Input: Input Type(s): Text, Image, Video Input Format(s): String, Red, Green, Blue (RGB), Video (MP4/WebM) Input Parameters: One Dimensional…
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