Instructions to use GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-3-32B-layer-mix-bpw-4.0-mlx GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0-mlx
This quantized low-bit model GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0-mlx was converted to MLX format from GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0 using gbx-lm version 0.4.0.
Refer to the original model card for more details on the model.
Use with mlx
pip install gbx-lm
from gbx_lm import load, generate
model, tokenizer = load("GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0-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)
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Model size
6B params
Tensor type
BF16
路
I16 路
U32 路
Hardware compatibility
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GreenBitAI/Qwen-3-32B-layer-mix-bpw-4.0