MetalRT
Collection
7 items โข Updated โข 2
How to use runanywhere/Llama_32_3B_4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Llama_32_3B_4bit runanywhere/Llama_32_3B_4bit
Custom MLX 4-bit quantization of meta-llama/Llama-3.2-3B-Instruct optimized for MetalRT GPU inference on Apple Silicon.
Used by RCLI with the MetalRT engine:
rcli setup # select MetalRT or Both engines
| Metric | Value |
|---|---|
| Parameters | 3B |
| Quantization | MLX 4-bit |
Model weights: Llama 3.2 Community License (Meta) MetalRT engine: Proprietary (RunAnywhere, Inc.)
Quantized