| library_name: transformers | |
| license: gemma | |
| license_link: https://ai.google.dev/gemma/terms | |
| pipeline_tag: text-generation | |
| tags: | |
| - mlx | |
| extra_gated_heading: Access CodeGemma on Hugging Face | |
| extra_gated_prompt: To access CodeGemma 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 | |
| widget: | |
| - text: '<start_of_turn>user Write a Python function to calculate the nth fibonacci | |
| number.<end_of_turn> <start_of_turn>model | |
| ' | |
| inference: | |
| parameters: | |
| max_new_tokens: 200 | |
| # ipetrukha/codegemma-1.1-7b-it-4bit | |
| The Model [ipetrukha/codegemma-1.1-7b-it-4bit](https://huggingface.co/ipetrukha/codegemma-1.1-7b-it-4bit) was converted to MLX format from [google/codegemma-1.1-7b-it](https://huggingface.co/google/codegemma-1.1-7b-it) using mlx-lm version **0.16.1**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("ipetrukha/codegemma-1.1-7b-it-4bit") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |