--- license: gemma pipeline_tag: text-generation library_name: mlx tags: - mlx base_model: google/gemma-3-270m --- # mlx-community/gemma-3-270m-5bit This model [mlx-community/gemma-3-270m-5bit](https://huggingface.co/mlx-community/gemma-3-270m-5bit) was converted to MLX format from [google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m) using mlx-lm version **0.26.3**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("mlx-community/gemma-3-270m-5bit") 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) ```