Any-to-Any
Transformers
Safetensors
MLX
English
qwen3_omni_moe
text-to-audio
multimodal
8-bit precision
Instructions to use mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit") model = AutoModelForTextToWaveform.from_pretrained("mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit") - MLX
How to use mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3-Omni-30B-A3B-Instruct-8bit mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit
This model was converted to MLX format from Qwen/Qwen3-Omni-30B-A3B-Instruct using mlx-vlm version 0.3.10.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/Qwen3-Omni-30B-A3B-Instruct-8bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
- Downloads last month
- 100
Model size
11B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
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