Instructions to use peft-internal-testing/bone-tiny-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/bone-tiny-llama with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peft-internal-testing/bone-tiny-llama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "trl-internal-testing/tiny-random-LlamaForCausalLM", | |
| "bias": "none", | |
| "exclude_modules": null, | |
| "inference_mode": true, | |
| "init_weights": false, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "modules_to_save": null, | |
| "peft_type": "BONE", | |
| "r": 2, | |
| "revision": null, | |
| "target_modules": [ | |
| "v_proj", | |
| "q_proj" | |
| ], | |
| "task_type": "CAUSAL_LM" | |
| } |