Instructions to use Likich/open-coding-mistral7b-single_code-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Likich/open-coding-mistral7b-single_code-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "Likich/open-coding-mistral7b-single_code-qlora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b038d43d6218dbe43904b939a03bfae72a1d4ebbb8fa6951937366bd1abf260f
- Size of remote file:
- 168 MB
- SHA256:
- f61a35c7c75e04e005f5e771ee569ccb91dafe7ac6c32474fae49ab21f080f6c
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