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:
- 20565de127f497eddc42bd2afe352b9cf08df91251df7f6d78d15b794f59a2d3
- Size of remote file:
- 4.45 GB
- SHA256:
- fd0688f2dde63278eb1e5f2afc8fa0702dc0935756c71a6cf1d9ed6aeafb9438
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