--- license_link: https://huggingface.co/tencent/Tencent-Hunyuan-Large/blob/main/LICENSE.txt language: - en pipeline_tag: text-generation library_name: transformers tags: - mlx base_model: tencent-community/Hunyuan-A52B-Instruct --- # mlx-community/Hunyuan-A52B-Instruct-3bit The Model [mlx-community/Hunyuan-A52B-Instruct-3bit](https://huggingface.co/mlx-community/Hunyuan-A52B-Instruct-3bit) was converted to MLX format from [tencent-community/Hunyuan-A52B-Instruct](https://huggingface.co/tencent-community/Hunyuan-A52B-Instruct) using mlx-lm version **0.19.3**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("mlx-community/Hunyuan-A52B-Instruct-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) ```