Instructions to use uracoder/llama-8b-jarvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use uracoder/llama-8b-jarvis with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("uracoder/llama-8b-jarvis", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from uracoder/llama-8b-jarvis: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
-
https://huggingface.co/uracoder/llama-8b-jarvis/resolve/main/generation_config.json
- Command line
-
hf download hf://uracoder/llama-8b-jarvis/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/uracoder/llama-8b-jarvis/resolve/main/generation_config.json
172 Bytes
| { | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": 128001, | |
| "max_length": 4096, | |
| "temperature": 0.6, | |
| "top_p": 0.9, | |
| "transformers_version": "4.55.4" | |
| } | |