base_model: MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored
pipeline_tag: text-generation
tags:

• uncensored
• abliteration
• mlx
• mlx-my-repo
  license: apache-2.0

McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-4Bit

The Model McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-mlx-4Bit was converted to MLX format from MultiverseComputingCAI/Qwen3-Next-80B-A3B-Thinking-Uncensored using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("McG-221/Qwen3-Next-80B-A3B-Thinking-Uncensored-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)