Instructions to use kacperbb/phi-3.5-mlx-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kacperbb/phi-3.5-mlx-finetuned with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir phi-3.5-mlx-finetuned kacperbb/phi-3.5-mlx-finetuned
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Phi 3.5 Mini LoRA Fine-tuned with MLX
This is a LoRA (Low-Rank Adaptation) fine-tuned version of Phi 3.5 Mini using MLX.
Usage with MLX
from mlx_lm import load, generate
model, tokenizer = load("kacperbb/phi-3.5-mlx-finetuned")
response = generate(model, tokenizer, prompt="Hello, how are you?", max_tokens=100)
print(response)
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Model tree for kacperbb/phi-3.5-mlx-finetuned
Base model
microsoft/Phi-3.5-mini-instruct
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir phi-3.5-mlx-finetuned kacperbb/phi-3.5-mlx-finetuned