Instructions to use socius/Qwentaur-14B-LoRA-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use socius/Qwentaur-14B-LoRA-r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-14B-Base") model = PeftModel.from_pretrained(base_model, "socius/Qwentaur-14B-LoRA-r16") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-500/optimizer.pt from socius/Qwentaur-14B-LoRA-r16: direct link, hf CLI and curl.
- Browser
- Download file 131 MB
-
https://huggingface.co/socius/Qwentaur-14B-LoRA-r16/resolve/main/checkpoint-500/optimizer.pt
- Command line
-
hf download hf://socius/Qwentaur-14B-LoRA-r16/checkpoint-500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/socius/Qwentaur-14B-LoRA-r16/resolve/main/checkpoint-500/optimizer.pt
131 MB
- Xet hash:
- fda7b04b7e233031d09d4ecec89fd6dc2838ae3f289a75b7a0e8745443461c7b
- Size of remote file:
- 131 MB
- SHA256:
- 109239536768bc3de549d6d27143f712f80c8a3d1a7feb007f1833d3fb5f13c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.