license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/LICENSE
language:

• en
  base_model: huihui-ai/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated
  pipeline_tag: text-generation
  library_name: mlx
  tags:
• abliterated
• uncensored
• mlx

Gallardo994/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated

This model Gallardo994/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated was
converted to MLX format from huihui-ai/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated
using mlx-lm version 0.26.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Gallardo994/Huihui-Qwen3-30B-A3B-Instruct-2507-abliterated")

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)