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-4Bit
The Model osxest/Huihui-CyberStrike-OffSec-35B-abliterated-mlx-4Bit 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-4Bit")
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)