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 training_args.bin from socius/Qwentaur-14B-LoRA-r16: direct link, hf CLI and curl.
- Browser
- Download file 6.35 kB
-
https://huggingface.co/socius/Qwentaur-14B-LoRA-r16/resolve/main/training_args.bin
- Command line
-
hf download hf://socius/Qwentaur-14B-LoRA-r16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/socius/Qwentaur-14B-LoRA-r16/resolve/main/training_args.bin
6.35 kB
- Xet hash:
- edc10feccf9b71fb9c0ece7e9a8a991b375ec54996912d88330d20bf912e2380
- Size of remote file:
- 6.35 kB
- SHA256:
- 65370271f00c8aaf4e6680dadb84e9a7c9013c61b91548370ec341e27f869117
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