The Hub's approximately 8.0B safetensors count reflects packed MXFP storage elements; the
underlying architecture remains the full 27B model.
1python -m mlx_vlm.generate \
2 --model Shiftedx/Qwen3.8-27B-MLX-MXFP8 \
3 --image image.jpg \
4 --prompt "Describe this image."
Text generation and three image-understanding smoke tests passed locally. Quantization can
still change behavior, so independently evaluate important use cases. Treat prompts, images,
and outputs as untrusted: do not submit secrets, and sandbox tools or generated code with
least-privilege access. This conversion adds no telemetry or remote execution.
The upstream Apache-2.0 license and model limitations continue to apply.