Instructions to use auchoi/unslot_practice_lora_model_1_epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auchoi/unslot_practice_lora_model_1_epoch with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("auchoi/unslot_practice_lora_model_1_epoch", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use auchoi/unslot_practice_lora_model_1_epoch 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 auchoi/unslot_practice_lora_model_1_epoch 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 auchoi/unslot_practice_lora_model_1_epoch to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for auchoi/unslot_practice_lora_model_1_epoch to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="auchoi/unslot_practice_lora_model_1_epoch", max_seq_length=2048, )
Uploaded model
- Developed by: auchoi
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
- Dataset: Dolly 15K oai style: https://huggingface.co/datasets/philschmid/dolly-15k-oai-style?row=0
These are just LORA adapters. You will download the base_model as well when using this
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for auchoi/unslot_practice_lora_model_1_epoch
Base model
unsloth/Phi-3-mini-4k-instruct-bnb-4bit