Instructions to use socius/Qwentaur-14B-LoRA-r4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use socius/Qwentaur-14B-LoRA-r4 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-r4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from socius/Qwentaur-14B-LoRA-r4: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/socius/Qwentaur-14B-LoRA-r4/resolve/main/training_args.bin
- Command line
-
hf download hf://socius/Qwentaur-14B-LoRA-r4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/socius/Qwentaur-14B-LoRA-r4/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 69d6e360f02a4ce8de6afede037f39c7bd66cb758ed84c8689355f224545c881
- Size of remote file:
- 5.84 kB
- SHA256:
- c7ea467081bd7bacc8e8f31860cfb052cd08db63addd45cf6956e9231c2b0620
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