Instructions to use theprint/ReWiz-Phi-4-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theprint/ReWiz-Phi-4-14B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("theprint/ReWiz-Phi-4-14B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use theprint/ReWiz-Phi-4-14B 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 theprint/ReWiz-Phi-4-14B 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 theprint/ReWiz-Phi-4-14B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for theprint/ReWiz-Phi-4-14B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="theprint/ReWiz-Phi-4-14B", max_seq_length=2048, )
metadata
base_model: unsloth/phi-4-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
license: apache-2.0
language:
- en
ReWiz Phi-4 14B
- Developed by: theprint
- License: apache-2.0
- Finetuned from model : unsloth/phi-4-unsloth-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Looking for GGUF?
You can find GGUF versions of this model here: theprint/ReWiz-Phi-4-14B-GGUF