--- license: apache-2.0 language: - en pipeline_tag: text-generation tags: - chat - mlx base_model: Qwen/Qwen2-0.5B-Instruct-MLX --- # danielcfho/qwen2-0.5b-instruct-mlx The Model [danielcfho/qwen2-0.5b-instruct-mlx](https://huggingface.co/danielcfho/qwen2-0.5b-instruct-mlx) was converted to MLX format from [Qwen/Qwen2-0.5B-Instruct-MLX](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct-MLX) using mlx-lm version **0.21.1**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("danielcfho/qwen2-0.5b-instruct-mlx") 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) ```