Text Generation
PEFT
Safetensors
English
finance
lora
qwen2.5
instruction-tuning
investopedia
conversational
Eval Results (legacy)
Instructions to use xczou/qwen2.5-7b-financial-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use xczou/qwen2.5-7b-financial-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "xczou/qwen2.5-7b-financial-lora") - Notebooks
- Google Colab
- Kaggle
File size: 145 Bytes
a83e2a4 | 1 2 3 4 5 6 7 8 9 | {
"title": "Financial Qwen Adapter",
"id": "xczouxiaocheng/financial-qwen-adapter",
"licenses": [
{
"name": "CC0-1.0"
}
]
} |