Instructions to use ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-293/optimizer.pt from ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1: direct link, hf CLI and curl.
- Browser
- Download file 458 MB
-
https://huggingface.co/ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1/resolve/main/checkpoint-293/optimizer.pt
- Command line
-
hf download hf://ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1/checkpoint-293/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ToastyPigeon/SpringDragon-NeMo-Instruct-QLoRA-ep1/resolve/main/checkpoint-293/optimizer.pt
458 MB
- Xet hash:
- 132fa5170d24739858228527dd1153725e806261446705e78d4e1ff1f2a04bca
- Size of remote file:
- 458 MB
- SHA256:
- d836c0e8b20a07c3a803815bf296158dce35ea36e4dc795a71ede3c9e5e988f7
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