How to use from the
Use from the
MLX library
# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("lopezhansel/phined-tuned-2")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

lopezhansel/phined-tuned-2

The Model lopezhansel/phined-tuned-2 was converted to MLX format from microsoft/Phi-3-mini-4k-instruct using mlx-lm version 0.15.3.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("lopezhansel/phined-tuned-2")
response = generate(model, tokenizer, prompt="hello", verbose=True)
Downloads last month
8
MLX
Hardware compatibility
Log In to add your hardware

Quantized

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for lopezhansel/phined-tuned-2

Quantizations
1 model