Instructions to use Amouri28/Qwen3-4B-lora-DBBench_repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Amouri28/Qwen3-4B-lora-DBBench_repo with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Amouri28/Qwen3-4B-lora-DBBench_repo") - Notebooks
- Google Colab
- Kaggle
File size: 237 Bytes
633d73b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"bos_token_id": 151643,
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"max_length": 262144,
"pad_token_id": 151643,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "4.56.2"
}
|