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/optimizer.pt from socius/Qwentaur-8B-LoRA-r64: direct link, hf CLI and curl.
- Browser
- Download file 355 MB
-
https://huggingface.co/socius/Qwentaur-8B-LoRA-r64/resolve/main/checkpoint-1000/optimizer.pt
- Command line
-
hf download hf://socius/Qwentaur-8B-LoRA-r64/checkpoint-1000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/socius/Qwentaur-8B-LoRA-r64/resolve/main/checkpoint-1000/optimizer.pt
355 MB
- Xet hash:
- b9bafe9b0f47b74b77125da630c35db83de094b9f957afd7bf682d0e99dd9f17
- Size of remote file:
- 355 MB
- SHA256:
- bdc65846d9ae1f4c2f64e75e57b2b6a368d95047b03763514d6b218e9eb5f233
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