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-500/scheduler.pt from socius/Llama-Centaur-3B-LoRA-r8: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/socius/Llama-Centaur-3B-LoRA-r8/resolve/main/checkpoint-500/scheduler.pt
- Command line
-
hf download hf://socius/Llama-Centaur-3B-LoRA-r8/checkpoint-500/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/socius/Llama-Centaur-3B-LoRA-r8/resolve/main/checkpoint-500/scheduler.pt
1.47 kB
- Xet hash:
- 0e6041cd8b7098bbc651ebca2fd9dc1923bdc6cbd61ecc8f8d750834755a0111
- Size of remote file:
- 1.47 kB
- SHA256:
- 7f41d29c82c081869d5a4e029cda3c21ad410b0bb28e6b9afcf5ff669390fbe2
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