Instructions to use mlx-community/CodeQwen1.5-7B-Chat-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/CodeQwen1.5-7B-Chat-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir CodeQwen1.5-7B-Chat-4bit mlx-community/CodeQwen1.5-7B-Chat-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| license: apache-2.0 | |
| tags: | |
| - mlx | |
| # mlx-community/CodeQwen1.5-7B-Chat-4bit | |
| This model was converted to MLX format from [`Qwen/CodeQwen1.5-7B-Chat`]() using mlx-lm version **0.9.0**. | |
| Model added by [Prince Canuma](https://twitter.com/Prince_Canuma). | |
| Refer to the [original model card](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/CodeQwen1.5-7B-Chat-4bit") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |