Instructions to use FasterDecoding/medusa-vicuna-7b-v1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FasterDecoding/medusa-vicuna-7b-v1.3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FasterDecoding/medusa-vicuna-7b-v1.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from FasterDecoding/medusa-vicuna-7b-v1.3: direct link, hf CLI and curl.
- Browser
- Download file 143 Bytes
-
https://huggingface.co/FasterDecoding/medusa-vicuna-7b-v1.3/resolve/main/config.json
- Command line
-
hf download hf://FasterDecoding/medusa-vicuna-7b-v1.3/config.json
-
curl -L -o config.json https://huggingface.co/FasterDecoding/medusa-vicuna-7b-v1.3/resolve/main/config.json
143 Bytes
| { | |
| "base_model_name_or_path": "lmsys/vicuna-7b-v1.3", | |
| "medusa_num_heads": 2, | |
| "medusa_num_layers": 1, | |
| "transformers_version": "4.31.0" | |
| } | |