--- license: apache-2.0 tags: - mlx base_model: MetaStoneTec/XBai-o4 library_name: mlx pipeline_tag: text-generation --- # mlx-community/XBai-o4-8bit This model [mlx-community/XBai-o4-8bit](https://huggingface.co/mlx-community/XBai-o4-8bit) was converted to MLX format from [MetaStoneTec/XBai-o4](https://huggingface.co/MetaStoneTec/XBai-o4) using mlx-lm version **0.26.2**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("mlx-community/XBai-o4-8bit") 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) ```