Any-to-Any
Transformers
Safetensors
English
qwen3_omni_moe
text-to-audio
bnb-my-repo
multimodal
4-bit precision
bitsandbytes
Instructions to use lainlives/Qwen3-Omni-30B-A3B-Instruct-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lainlives/Qwen3-Omni-30B-A3B-Instruct-bnb-4bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("lainlives/Qwen3-Omni-30B-A3B-Instruct-bnb-4bit") model = AutoModelForMultimodalLM.from_pretrained("lainlives/Qwen3-Omni-30B-A3B-Instruct-bnb-4bit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08c8571b22da6ee3681d7dd6c863effd51d531248c747a31732d782511883fba
- Size of remote file:
- 16.9 GB
- SHA256:
- 6b4a6513cba6a1a39e3fd76b636c177ed39743744c387aaa3ca06fcc4c82b999
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