metadata
library_name: mlx
license: cc-by-nc-4.0
tags:
- mlx
base_model: eternisai/Anonymizer-4B
pipeline_tag: text-generation
Otilde/Anonymizer-4B-F32-MLX
This model Otilde/Anonymizer-4B-F32-MLX was converted to MLX format from eternisai/Anonymizer-4B using mlx-lm version 0.28.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Otilde/Anonymizer-4B-F32-MLX")
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)