Any-to-Any
Transformers
Safetensors
English
qwen3_omni_moe
text-to-audio
multimodal
compressed-tensors
Instructions to use cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit") model = AutoModelForMultimodalLM.from_pretrained("cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79c8ff36668a753ecf4b6161809e0a9b01785245ac5d832091ff4defadc3808e
- Size of remote file:
- 5 GB
- SHA256:
- d25d70861b6df2af42e7b6ec0396d902c0b7b9d18fa5d1cf13576189907b9f32
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