Instructions to use socius/Llama-Centaur-8B-LoRA-r4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use socius/Llama-Centaur-8B-LoRA-r4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "socius/Llama-Centaur-8B-LoRA-r4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-500/optimizer.pt from socius/Llama-Centaur-8B-LoRA-r4: direct link, hf CLI and curl.
- Browser
- Download file 21.8 MB
-
https://huggingface.co/socius/Llama-Centaur-8B-LoRA-r4/resolve/main/checkpoint-500/optimizer.pt
- Command line
-
hf download hf://socius/Llama-Centaur-8B-LoRA-r4/checkpoint-500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/socius/Llama-Centaur-8B-LoRA-r4/resolve/main/checkpoint-500/optimizer.pt
21.8 MB
- Xet hash:
- 6c23cf4dd126eb0de34f8f619410d10916a08eb3470f2766e511bf977e9968ef
- Size of remote file:
- 21.8 MB
- SHA256:
- 408440aed63d4ef2fba41d2ec037329542d46898e4296e0de3da857f8df50757
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