Instructions to use socius/Llama-Centaur-3B-LoRA-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use socius/Llama-Centaur-3B-LoRA-r8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B") model = PeftModel.from_pretrained(base_model, "socius/Llama-Centaur-3B-LoRA-r8") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-1500/optimizer.pt from socius/Llama-Centaur-3B-LoRA-r8: direct link, hf CLI and curl.
- Browser
- Download file 25.2 MB
-
https://huggingface.co/socius/Llama-Centaur-3B-LoRA-r8/resolve/main/checkpoint-1500/optimizer.pt
- Command line
-
hf download hf://socius/Llama-Centaur-3B-LoRA-r8/checkpoint-1500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/socius/Llama-Centaur-3B-LoRA-r8/resolve/main/checkpoint-1500/optimizer.pt
25.2 MB
- Xet hash:
- cc974d85b0809f81cab48276b037f15d7597b3ff2676f896c29612f54d132479
- Size of remote file:
- 25.2 MB
- SHA256:
- ce2fb973987a06029e150f481d0bb64a7d53ae441a656a41dc4ac5d19aea9f70
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