| license: other | |
| library_name: transformers | |
| tags: | |
| - mlx | |
| - mlx | |
| extra_gated_heading: Access Gemma on Hugging Face | |
| extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and | |
| agree to Google’s usage license. To do this, please ensure you’re logged-in to Hugging | |
| Face and click below. Requests are processed immediately. | |
| extra_gated_button_content: Acknowledge license | |
| license_name: gemma-terms-of-use | |
| license_link: https://ai.google.dev/gemma/terms | |
| # Arjun24420/Medical-quantized-gemma-2b | |
| The Model [Arjun24420/Medical-quantized-gemma-2b](https://huggingface.co/Arjun24420/Medical-quantized-gemma-2b) was converted to MLX format from [mlx-community/quantized-gemma-2b](https://huggingface.co/mlx-community/quantized-gemma-2b) using mlx-lm version **0.14.3**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("Arjun24420/Medical-quantized-gemma-2b") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |