Instructions to use tarantulas/Finetuned_LLaMA3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use tarantulas/Finetuned_LLaMA3B with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("tarantulas/Finetuned_LLaMA3B", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download model_card.json from tarantulas/Finetuned_LLaMA3B: direct link, hf CLI and curl.
- Browser
- Download file 369 Bytes
-
https://huggingface.co/tarantulas/Finetuned_LLaMA3B/resolve/main/model_card.json
- Command line
-
hf download hf://tarantulas/Finetuned_LLaMA3B/model_card.json
-
curl -L -o model_card.json https://huggingface.co/tarantulas/Finetuned_LLaMA3B/resolve/main/model_card.json
369 Bytes
| { | |
| "language": "en", | |
| "license": "meta", | |
| "library_name": "transformers", | |
| "tags": [ | |
| "causal-lm", | |
| "lora", | |
| "merged", | |
| "llama3", | |
| "aifactory" | |
| ], | |
| "pipeline_tag": "text-generation", | |
| "model_creator": "Meta", | |
| "model_type": "LlamaForCausalLM", | |
| "base_model": "meta-llama/Llama-3.2-3B", | |
| "quantized": false, | |
| "adapter": true, | |
| "merged": true | |
| } |