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
- Xet hash:
- 183a9c884753eea9a666b21890abbfc27fa0e038651c562f0cc4615264a0b460
- Size of remote file:
- 162 MB
- SHA256:
- 16cea635bcea002bb89dc4ff9af218c04e0c8a78bdf003e202c1cfdce18e7a40
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