library_name: transformers license: apache-2.0 pipeline_tag: text-generation base_model: huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated tags:

• abliterated
• uncensored
• huihui
• offensive-security
• pentesting
• tool-calling
• cyberstrike
• qwen3
• mlx
• mlx-my-repo

osxest/Huihui-CyberStrike-OffSec-35B-abliterated-mlx-6Bit

The Model osxest/Huihui-CyberStrike-OffSec-35B-abliterated-mlx-6Bit was converted to MLX format from huihui-ai/Huihui-CyberStrike-OffSec-35B-abliterated using mlx-lm version 0.31.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("osxest/Huihui-CyberStrike-OffSec-35B-abliterated-mlx-6Bit")

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)