Instructions to use calebboud/vicuna with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calebboud/vicuna with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("calebboud/vicuna", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from calebboud/vicuna: direct link, hf CLI and curl.
- Browser
- Download file 330 Bytes
-
https://huggingface.co/calebboud/vicuna/resolve/main/config.json
- Command line
-
hf download hf://calebboud/vicuna/config.json
-
curl -L -o config.json https://huggingface.co/calebboud/vicuna/resolve/main/config.json
330 Bytes
| { | |
| "model_lib": "vicuna-v1-7b-q4f16_0", | |
| "local_id": "vicuna-v1-7b-q4f16_0", | |
| "conv_template": "vicuna_v1.1", | |
| "temperature": 0.7, | |
| "repetition_penalty": 1.0, | |
| "top_p": 0.95, | |
| "mean_gen_len": 128, | |
| "max_gen_len": 512, | |
| "shift_fill_factor": 0.3, | |
| "tokenizer_files": [ | |
| "tokenizer.model" | |
| ] | |
| } |