Instructions to use kcvmk/qwen3_0.6B_MLX_4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use kcvmk/qwen3_0.6B_MLX_4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir qwen3_0.6B_MLX_4bit kcvmk/qwen3_0.6B_MLX_4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
Qwen3 0.6B โ MLX 4-bit Quantized
Custom MLX 4-bit quantization of Qwen/Qwen3-0.6B optimized for MetalRT GPU inference on Apple Silicon.
Usage
Used by RCLI with the MetalRT engine:
rcli setup # select MetalRT or Both engines
Performance (Apple M3 Max)
| Metric | Value |
|---|---|
| Throughput | 550 tok/s |
| TTFT | 8.9 ms |
| Parameters | 0.6B |
| Quantization | MLX 4-bit |
License
Model weights: Apache 2.0 (Alibaba Qwen) MetalRT engine: Proprietary (RunAnywhere, Inc.)
Contact
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Hardware compatibility
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Quantized
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