from mlx_lm import load, generate

model, tokenizer = load("Eldadalbajob/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated-mlx-3Bit")

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)

rayray916/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated-mlx-3Bit-split-mtp

Eldadalbajob/Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated-mlx-3Bit

Use with mlx

rayray916/
Huihui-Qwen3-Next-80B-A3B-Instruct-abliterated-mlx-3Bit-split-mtp