Instructions to use nthakur/Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nthakur/Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0 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, "nthakur/Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.9998354451209478, | |
| "eval_loss": 1.4193336963653564, | |
| "eval_runtime": 1872.9516, | |
| "eval_samples": 4000, | |
| "eval_samples_per_second": 2.136, | |
| "eval_steps_per_second": 0.267 | |
| } |