Qwen3 VL 235B A22B Instruct NVFP4 Model Overview Model Architecture: Qwen/Qwen3 VL 235B A22B Instruct Input: Text Output: Text Model Optimizations: Weight quantization: FP4 Activation quantization: FP4 Out of scope: Use in any manner that violates applicable laws or regulations (including trade compliance laws). Use in languages other than English. Release Date: 10/29/2025 Version: 1.0 Model Developers: RedHatAI ModelCar Storage URI : oci://registry.redhat.io/rhai/modelcar qwen3 vl 235b a22b instruct nvfp4:3.0 Validated on vLLM: 0.13.0 Validated on RHAIIS: 3.3 Validated on RHOAI: 3.3 This model is a quantized version of Qwen/Qwen3 VL 235B A22B Instruct. It was evaluated on a several tasks to assess the its quality in comparison to the unquatized model. Model Optimizations This model was obtained by quantizing the weights and activations of Qwen/Qwen3 VL 235B A22B Instruct to FP4 data type, ready for inference with vLLM =0.9.1 This optimization reduces the number of bits per parameter from 16 to 4, reducing the disk size and GPU memory requirements by approximately 75%. Only the weights and activations of the linear operators within transformers blocks are quantized using LLM Compre…
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