InfoSec Toolkit
Collection
High quality models intended to aid users in privacy and security
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3 items
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Updated
This model Otilde/Anonymizer-4B-F32-MLX was converted to MLX format from eternisai/Anonymizer-4B using mlx-lm version 0.28.2.
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)
Base model
eternisai/Anonymizer-4B