mate-local-models/chat/mlx/mlx-community/Qwen3.5-9B-MLX-4bit

base_model	library_name	pipeline_tag	tags	license
Qwen/Qwen3.5-9B	mlx	image-text-to-text	mlx qwen3.5 vision-language-model quantized 4bit	apache-2.0

Qwen3.5-9B-MLX-4bit

This is a quantized MLX version of Qwen/Qwen3.5-9B for Apple Silicon.

Model Details

• Original Model: Qwen/Qwen3.5-9B
• Quantization: 4-bit (~5.059 bits per weight)
• Group Size: 64
• Format: MLX SafeTensors
• Framework: mlx-vlm

Conversion Details

This model was converted using mlx-vlm with 4-bit quantization.

Conversion command:

python3 -m mlx_vlm convert \
  --hf-path "Qwen/Qwen3.5-9B" \
  --mlx-path "./mlx_models/Qwen3.5-9B-MLX-4bit" \
  -q --q-bits 4 --q-group-size 64

Important Note

A better, more optimized conversion may be available from @Prince (@Blaizzy) in the MLX VLM community. Check the mlx-community organization for updated versions as official Qwen3.5 support is merged into the main mlx-vlm branch.

Usage

from mlx_vlm import load, generate

model, processor = load("mlx-community/Qwen3.5-9B-MLX-4bit")

output = generate(
    model,
    processor,
    prompt="Describe this image in detail",
    image="path/to/image.jpg",
    max_tokens=200
)
print(output)

Or from the command line:

mlx_vlm generate \
  --model mlx-community/Qwen3.5-9B-MLX-4bit \
  --prompt "Describe this image" \
  --image path/to/image.jpg \
  --max-tokens 200

Performance

• Disk Size: ~5.6 GB
• Runs efficiently on Apple Silicon Macs (M1/M2/M3/M4)
• Lower memory footprint compared to 8-bit quantization

License

This model inherits the Apache 2.0 license from the original Qwen3.5-9B model.