Text Generation
PEFT
English
Spanish
qwen2
finops
aws
terraform
cloud-governance
qlora
conversational
4-bit precision
bitsandbytes
Instructions to use ccortezb/FinOptix-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ccortezb/FinOptix-14B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-14B-Instruct") model = PeftModel.from_pretrained(base_model, "ccortezb/FinOptix-14B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777eb5e88aab5aa6f4a49a129a0f6533e3ec8b38fd1c4f6aace4daa027ba3b62
- Size of remote file:
- 275 MB
- SHA256:
- 68f866f6e861dfd19f710d470e68d767305ea578ea3be334fffe80e0126fbcde
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.