Instructions to use codegood/Mistral_instruct_latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/Mistral_instruct_latest with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("filipealmeida/Mistral-7B-Instruct-v0.1-sharded") model = PeftModel.from_pretrained(base_model, "codegood/Mistral_instruct_latest") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from codegood/Mistral_instruct_latest: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/codegood/Mistral_instruct_latest/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://codegood/Mistral_instruct_latest/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/codegood/Mistral_instruct_latest/resolve/main/adapter_model.safetensors
369 MB
- Xet hash:
- 4155db8eb4de2c7edc89d2712e1d6407c605bc9e2971d21c080d80f2fb65a57c
- Size of remote file:
- 369 MB
- SHA256:
- d2e427316d0fff899f219be68978450b7eb2aaddbea4e631acf123d4c0efb22e
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