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:
- 492bc816e0656beafd59dc2be62a5d322da09203b5c243f3cd2b337f25cb42fc
- Size of remote file:
- 5 GB
- SHA256:
- 13159e8aadd2e4bb5a92d1b0663d9fe5e0ec45df43720bac4a70e46ea10bc214
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