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
mistral-finetuned-alpaca / runs /Apr02_02-04-19_009329e2deee /events.out.tfevents.1712023467.009329e2deee.1142.0
- Xet hash:
- dcd3599ac7efaebbf4a33fc685579eafa3c977db2c8d97d3e3609f44649aaad2
- Size of remote file:
- 6.1 kB
- SHA256:
- affe5aacf75c700b893e135a36b2c358324660e0497944e7bba54ebae4d8f982
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