Instructions to use 0xlexor/genesys with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 0xlexor/genesys with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "0xlexor/genesys") - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_name": "llama3", | |
| "base_model_class": "LlamaForCausalLM", | |
| "base_loaded_in_4bit": false, | |
| "base_loaded_in_8bit": false, | |
| "projections": "q, v", | |
| "loss": 0.1027, | |
| "grad_norm": 0.08668982237577438, | |
| "learning_rate": 4.972375690607734e-06, | |
| "epoch": 2.968340824701974, | |
| "current_steps": 15163, | |
| "train_runtime": 13880.9358, | |
| "train_samples_per_second": 6.635, | |
| "train_steps_per_second": 0.013, | |
| "total_flos": 1.0810361631473664e+18, | |
| "train_loss": 0.3137563343256549 | |
| } |