Qwen3-VL-32B-Instruct-AWQ is an AWQ-quantized version of the Qwen3 vision-language model optimized for lower VRAM usage. It supports multimodal inputs combining text and images and includes a chat template with built-in tool calling support. The model is designed for developers building applications that require visual reasoning and function calling in a single efficient inference pass.
Qwen3 VL 32B Instruct is a Foundation models & chat product. It focuses on running large vision-language models with reduced memory using AWQ quantization while preserving instruction-following and tool-use capabilities. It is built as an open-source project for AI developers and researchers. Qwen3 VL 32B Instruct is open source under the Open Source license. It runs on the web, the command line, and API.
Behind Qwen3 VL 32B Instruct is QuantTrio, and the product first shipped in 2025. It operates in a well-populated space: PulseGate tracks 18 similar tools. Key capabilities include AWQ Quantization, vision-Language, and Tool Calling.
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QuantTrio/Qwen3-VL-32B-Instruct-AWQ verified by the PulseGate indexer
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