Instructions to use patruff/mistralNemoAdapterDIRTY5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use patruff/mistralNemoAdapterDIRTY5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-nemo-base-2407-bnb-4bit") model = PeftModel.from_pretrained(base_model, "patruff/mistralNemoAdapterDIRTY5") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use patruff/mistralNemoAdapterDIRTY5 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for patruff/mistralNemoAdapterDIRTY5 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for patruff/mistralNemoAdapterDIRTY5 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for patruff/mistralNemoAdapterDIRTY5 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="patruff/mistralNemoAdapterDIRTY5", max_seq_length=2048, )
- Xet hash:
- 70fa36cf2b69d009d446ee32fd94839b7c33c0e907dae8607e98816c8f856df9
- Size of remote file:
- 228 MB
- SHA256:
- 5eca63eedbf9a742b42a7838b19d388e339039d95becee0bfd6d8cf03e434214
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