Text Generation
PEFT
Safetensors
PyTorch
qwen2
lora
code-generation
neural-architecture-search
delta-nas
conversational
Instructions to use ABrain/Delta-NAS-Qwen2.5-Coder-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ABrain/Delta-NAS-Qwen2.5-Coder-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "ABrain/Delta-NAS-Qwen2.5-Coder-7B") - Notebooks
- Google Colab
- Kaggle
File size: 242 Bytes
b6608f3 | 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
],
"pad_token_id": 151643,
"repetition_penalty": 1.1,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "4.52.4"
}
|