Instructions to use Lonepan/mistral-finetuned-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Lonepan/mistral-finetuned-alpaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Mistral-7B-Instruct-v0.1-GPTQ") model = PeftModel.from_pretrained(base_model, "Lonepan/mistral-finetuned-alpaca") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d001570190b08b5ce48eaa4d193d3ae2bf02736b3b266726c524cdf9742aaf0f
- Size of remote file:
- 27.3 MB
- SHA256:
- 4d67163a009b97dfb78ab0a32163589bf4f8286c29a0725734364fd9316b402f
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