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:
- 4da5356a040bf2cf755599c9d4be4c62b7a217f2dc03c4741bc1435e6b47f1a4
- Size of remote file:
- 49.9 GB
- SHA256:
- ec66dc2d46cf211cf1c815b8428ddd9e0d3d2577ea22bf5afd299cf790221bb9
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