Instructions to use kls123/CTI-llma3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kls123/CTI-llma3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kls123/CTI-llma3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "meta-llama/Meta-Llama-3.1-8B-Instruct", | |
| "bias": "none", | |
| "fan_in_fan_out": false, | |
| "inference_mode": false, | |
| "init_lora_weights": true, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "lora_alpha": 8, | |
| "lora_dropout": 0.0, | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 8, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "k_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "down_proj", | |
| "up_proj", | |
| "q_proj", | |
| "v_proj" | |
| ], | |
| "task_type": "CAUSAL_LM" | |
| } |