Instructions to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andstor/Qwen-Qwen2.5-Coder-7B-unit-test-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B") model = PeftModel.from_pretrained(base_model, "andstor/Qwen-Qwen2.5-Coder-7B-unit-test-lora") - Notebooks
- Google Colab
- Kaggle
File size: 251 Bytes
57953ae | 1 2 3 4 5 6 7 8 9 | {
"epoch": 2.9983597594313833,
"total_flos": 4.3228174920083046e+17,
"train_loss": 0.7109334499926396,
"train_runtime": 1998.4313,
"train_samples": 7316,
"train_samples_per_second": 10.983,
"train_steps_per_second": 0.686
} |