Instructions to use metacog0/qwen2.5-32b-ins-lora-50-toy-meta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use metacog0/qwen2.5-32b-ins-lora-50-toy-meta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-32B-Instruct") model = PeftModel.from_pretrained(base_model, "metacog0/qwen2.5-32b-ins-lora-50-toy-meta") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.0, | |
| "total_flos": 6.116937949616538e+17, | |
| "train_loss": 0.2839497621688578, | |
| "train_runtime": 414.9456, | |
| "train_samples_per_second": 22.104, | |
| "train_steps_per_second": 0.347 | |
| } |