Gemma 4 E4B It Mlx 4Bit

--- library_name: transformers license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license pipeline_tag: any-to-any base_model: google/gemma-4-E4B-it tags: - mlx --- # minkob/gemma-4-E4B-it-mlx-4Bit The Model [minkob/gemma-4-E4B-it-mlx-4Bit](https://huggingface.co/minkob/gemma-4-E4B-it-mlx-4Bit) was converted to MLX format from [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it) using mlx-lm version **0.31.2**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("minkob/gemma-4-E4B-it-mlx-4Bit") 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) ```