Model Details
Full Model IDcyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit
Pipeline / Taskany-to-any
Librarytransformers
Downloads (all-time)108.2K
Likes49
Last Modified9/28/2025
Author / Orgcyankiwi
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("any-to-any", model="cyankiwi/Qwen3-Omni-30B-A3B-Instruct-AWQ-4bit")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsqwen3_omni_moetext-to-audiomultimodalany-to-anyenbase_model:Qwen/Qwen3-Omni-30B-A3B-Instructbase_model:quantized:Qwen/Qwen3-Omni-30B-A3B-Instructlicense:otherendpoints_compatiblecompressed-tensorsregion:us
More any-to-any Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: any-to-any
This model is designed for the any-to-any task. Explore more models for this use case.
All any-to-any Models →📊 Popularity
⬇ Downloads108.2K
❤️ Community Likes49
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.