The Q4_K_S quantized GGUF version of the Qwen3-Omni-30B-A3B-Thinking model, supporting multimodal processing of text, vision, and audio, and achieving efficient reasoning through llama.cpp. This version significantly reduces the file size and improves the reasoning speed while ensuring quality.

MultimodalGgufMultiple Languages

This is the MLX format conversion version of the Qwen3-Omni-30B-A3B-Thinking model, converted using mlx-lm 0.28.1, and supports efficient operation on Apple Silicon devices.

Natural Language ProcessingMlxEnglish

This is an MLX format version converted from the Qwen3-Omni-30B-A3B-Instruct model, converted using the mlx-lm 0.28.1 tool, optimized for Apple Silicon, and supports efficient text generation tasks.

Natural Language ProcessingMlxEnglish

Qwen3-Omni-30B-A3B-Captioner is a fine-grained audio analysis model fine-tuned based on Qwen3-Omni-30B-A3B-Instruct. It is specifically designed to generate detailed and low-hallucination descriptions for any audio input and performs excellently in complex and diverse audio scenarios.

Audio ProcessingTransformersEnglish

This is a professional quantized version of the Qwen3-Omni model with 31.7B parameters. It uses advanced INT8+FP16 mixed-precision quantization technology, reducing memory usage by over 50%. It supports intelligent GPU/CPU hybrid inference, enabling large multimodal models to run efficiently on consumer-grade hardware.

MultimodalSafetensorsMultiple Languages