Instructions to use Ja-ck/Mistral-Instruct-QLoRA-Test-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ja-ck/Mistral-Instruct-QLoRA-Test-2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "Ja-ck/Mistral-Instruct-QLoRA-Test-2") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from Ja-ck/Mistral-Instruct-QLoRA-Test-2: direct link, hf CLI and curl.
- Browser
- Download file 340 MB
-
https://huggingface.co/Ja-ck/Mistral-Instruct-QLoRA-Test-2/resolve/main/adapter_model.bin
- Command line
-
hf download hf://Ja-ck/Mistral-Instruct-QLoRA-Test-2/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/Ja-ck/Mistral-Instruct-QLoRA-Test-2/resolve/main/adapter_model.bin
340 MB
- Xet hash:
- 8a804332a4506841e274db1d392f1706c104e377a35fb32e8de985c79daceede
- Size of remote file:
- 340 MB
- SHA256:
- 1977ed0267812726746cc82d67bd16aa8da582a2d4c336fb643cc61ccc9aeb3c
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