Instructions to use Azimml/Qwen3-8B-trellis-3bit-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Azimml/Qwen3-8B-trellis-3bit-webgpu with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Azimml/Qwen3-8B-trellis-3bit-webgpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download layer_07.bin from Azimml/Qwen3-8B-trellis-3bit-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 72.7 MB
-
https://huggingface.co/Azimml/Qwen3-8B-trellis-3bit-webgpu/resolve/main/layer_07.bin
- Command line
-
hf download hf://Azimml/Qwen3-8B-trellis-3bit-webgpu/layer_07.bin
-
curl -L -o layer_07.bin https://huggingface.co/Azimml/Qwen3-8B-trellis-3bit-webgpu/resolve/main/layer_07.bin
72.7 MB
- Xet hash:
- 5ed994801494d8829a237432351e1711bbe095dc63c7be75faeb4fd0a9bcc9cf
- Size of remote file:
- 72.7 MB
- SHA256:
- 5166362b6a7406b07b2b96026c22fdf887c3ac1263c1ef494535bfd1f94766ba
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