Instructions to use Rexe/Mistral-7B-Instruct-v0.1-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rexe/Mistral-7B-Instruct-v0.1-qlora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "Rexe/Mistral-7B-Instruct-v0.1-qlora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Rexe/Mistral-7B-Instruct-v0.1-qlora: direct link, hf CLI and curl.
- Browser
- Download file 27.3 MB
-
https://huggingface.co/Rexe/Mistral-7B-Instruct-v0.1-qlora/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Rexe/Mistral-7B-Instruct-v0.1-qlora/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Rexe/Mistral-7B-Instruct-v0.1-qlora/resolve/main/adapter_model.bin
27.3 MB
- Xet hash:
- 5c3fc9d6c9d25803391ec7809161d85fb26bcf0bdba2a3c1de29f07eb48ea74d
- Size of remote file:
- 27.3 MB
- SHA256:
- 7e3cb7b69339179131e1bee1a0812791e3095532935db540654b2f743d20ca4f
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