metadata
library_name: mlx
license: llama3.2
base_model: inference-net/Schematron-3B
pipeline_tag: text-generation
tags:
- mlx
pchamart/schematron3B-mlx-8bit
This model pchamart/schematron3B-mlx-8bit was converted to MLX format from inference-net/Schematron-3B using mlx-lm version 0.27.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("pchamart/schematron3B-mlx-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)