This model was converted using mlx-vlm from the pc/fix-qwen35-predicate branch, which includes fixes for Qwen3.5 quantization predicates (proper handling of MoE gate layers, shared_expert_gate, and A_log casting).

Conversion command:

bash

python3 -m mlx_vlm convert \
  --hf-path "Qwen/Qwen3.5-2B" \
  --mlx-path "./mlx_models/Qwen3.5-2B-MLX-8bit" \
  -q --q-bits 8 --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

python

from mlx_vlm import load, generate

model, processor = load("mlx-community/Qwen3.5-2B-MLX-8bit")

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:

bash

mlx_vlm generate \
  --model mlx-community/Qwen3.5-2B-MLX-8bit \
  --prompt "Describe this image" \
  --image path/to/image.jpg \
  --max-tokens 200

Performance

Disk Size: ~2.5 GB
Runs efficiently on Apple Silicon Macs (M1/M2/M3/M4)

License

This model inherits the Apache 2.0 license from the original Qwen3.5-2B model.