Instructions to use mcwei/gemma-4-31B-it-bf16-r8-1300-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcwei/gemma-4-31B-it-bf16-r8-1300-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mcwei/gemma-4-31B-it-bf16-r8-1300-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- dff4b0ca00f073ed0c0052680e4cfc235d1815363d82dacfec5bc3574866634f
- Size of remote file:
- 245 MB
- SHA256:
- 46e9033b254128484609cbad2d8dd221592bc9318f5c98e824c22dacbe759fdd
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