language:

• en
• zh
  library_name: transformers
  license: mit
  pipeline_tag: text-generation
  base_model: huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated
  tags:
• abliterated
• uncensored
• chat
• mlx
• mlx-my-repo

cs2764/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated-mlx-4Bit

The Model cs2764/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated-mlx-4Bit was converted to MLX format from huihui-ai/Huihui-Qwen3-Next-80B-A3B-Thinking-abliterated using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("cs2764/Huihui-Qwen3-Next-80B-A3B-Thinking-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)