Instructions to use A2H0H0R1/Qwen-7B-Chat-Int4-Qlora-biology-new-long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use A2H0H0R1/Qwen-7B-Chat-Int4-Qlora-biology-new-long with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B-Chat-Int4") model = PeftModel.from_pretrained(base_model, "A2H0H0R1/Qwen-7B-Chat-Int4-Qlora-biology-new-long") - Notebooks
- Google Colab
- Kaggle
| { | |
| "chat_format": "chatml", | |
| "eos_token_id": 151643, | |
| "pad_token_id": 151643, | |
| "max_window_size": 24000, | |
| "max_new_tokens": 512, | |
| "do_sample": true, | |
| "top_k": 0, | |
| "top_p": 0.8, | |
| "repetition_penalty": 1.1, | |
| "transformers_version": "4.31.0" | |
| } | |