README.md

metadata

license: apache-2.0
base_model: segolilylabs/Lily-Cybersecurity-7B-v0.2
language:
  - en
tags:
  - cybersecurity
  - cyber security
  - hacking
  - mistral
  - instruct
  - finetune
  - mlx
  - mlx-my-repo

Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx

The Model Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx was converted to MLX format from segolilylabs/Lily-Cybersecurity-7B-v0.2 using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Scotto2025/Lily-Cybersecurity-7B-v0.2-Q6-mlx")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

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