Instructions to use SeacowX/Enigma-8B-Entity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SeacowX/Enigma-8B-Entity with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/scratch_tmp/prj/charnu/seacow_hf_cache/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/0e9e39f249a16976918f6564b8830bc894c89659/") model = PeftModel.from_pretrained(base_model, "SeacowX/Enigma-8B-Entity") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 5.5856876418308506e+17, | |
| "train_loss": 0.6629369193278019, | |
| "train_runtime": 4969.9444, | |
| "train_samples_per_second": 12.276, | |
| "train_steps_per_second": 0.096 | |
| } |