README.md

metadata

library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking/blob/main/LICENSE
pipeline_tag: text-generation
tags:
  - mlx
base_model: Qwen/Qwen3-Next-80B-A3B-Thinking

mlx-community/Qwen3-Next-80B-A3B-Thinking-8bit

This model mlx-community/Qwen3-Next-80B-A3B-Thinking-8bit was converted to MLX format from Qwen/Qwen3-Next-80B-A3B-Thinking using mlx-lm version 0.27.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen3-Next-80B-A3B-Thinking-8bit")

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)