| license: other | |
| license_name: exaone | |
| license_link: LICENSE | |
| language: | |
| - en | |
| - ko | |
| tags: | |
| - lg-ai | |
| - exaone | |
| - exaone-3.5 | |
| - mlx | |
| pipeline_tag: text-generation | |
| library_name: transformers | |
| base_model: LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct | |
| # alexgusevski/EXAONE-3.5-2.4B-Instruct-q8-mlx | |
| The Model [alexgusevski/EXAONE-3.5-2.4B-Instruct-q8-mlx](https://huggingface.co/alexgusevski/EXAONE-3.5-2.4B-Instruct-q8-mlx) was | |
| converted to MLX format from [LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct](https://huggingface.co/LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct) | |
| using mlx-lm version **0.21.4**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("alexgusevski/EXAONE-3.5-2.4B-Instruct-q8-mlx") | |
| 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) | |
| ``` | |