Instructions to use GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-1.5-32B-layer-mix-bpw-2.2-mlx GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 571 Bytes
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license: apache-2.0
tags:
- mlx
---
# GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2) for more details on the model.
## Use with mlx
```bash
pip install gbx-lm
```
```python
from gbx_lm import load, generate
model, tokenizer = load("GreenBitAI/Qwen-1.5-32B-layer-mix-bpw-2.2-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)
```
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