Any-to-Any
Transformers
Safetensors
English
qwen2_5_omni
text-to-audio
multimodal
4-bit precision
gptq
Instructions to use Qwen/Qwen2.5-Omni-7B-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Qwen/Qwen2.5-Omni-7B-GPTQ-Int4 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Qwen/Qwen2.5-Omni-7B-GPTQ-Int4") model = AutoModelForMultimodalLM.from_pretrained("Qwen/Qwen2.5-Omni-7B-GPTQ-Int4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de340cb638b283cd3632d8334b801de1e09cb503b86c9122b12eed0a211e6c3
- Size of remote file:
- 3.14 GB
- SHA256:
- 7e8d3b35f1a303a6617dd85cbda5e7fcba5b5f00401a5a6a7cf7c010cde7d5ac
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