Instructions to use erniesg/boya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use erniesg/boya with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("erniesg/boya") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use erniesg/boya with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "erniesg/boya" --prompt "Once upon a time"
erniesg/boya
This model was converted to MLX format from microsoft/phi-2.
Refer to the original model card for more details on the model.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("erniesg/boya")
response = generate(model, tokenizer, prompt="hello", verbose=True)
- Downloads last month
- 2
Model size
6B params
Tensor type
BF16
·
Hardware compatibility
Log In to add your hardware
Quantized