Instructions to use socius/Qwentaur-8B-LoRA-r64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use socius/Qwentaur-8B-LoRA-r64 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-8B-Base") model = PeftModel.from_pretrained(base_model, "socius/Qwentaur-8B-LoRA-r64") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-1000/training_args.bin from socius/Qwentaur-8B-LoRA-r64: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/socius/Qwentaur-8B-LoRA-r64/resolve/main/checkpoint-1000/training_args.bin
- Command line
-
hf download hf://socius/Qwentaur-8B-LoRA-r64/checkpoint-1000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/socius/Qwentaur-8B-LoRA-r64/resolve/main/checkpoint-1000/training_args.bin
5.84 kB
- Xet hash:
- 11d6389eb668a2a50bed88afee86db29c179eb9653aeb949dc9431470f2f1926
- Size of remote file:
- 5.84 kB
- SHA256:
- 04ae7ba7d19cdf4ffa57f0f3fc955894e8470f2ef780a6fe8b2c2067ae51a9d8
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