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:
- 5a947eac2044eba4d62967c876a5072a8957486c1ab17c791d00cd6b6355150d
- Size of remote file:
- 3.09 GB
- SHA256:
- 613b14da130c426bb6e23238f3dd02eb5e7b439827db88efe5197c90a242023b
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