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PaddlePaddle/PaddleOCR-VL-1.6,
for fast on-device inference on Apple Silicon via
mlx-vlm. The architecture is unchanged — this repo only
re-quantizes the original weights.| Base model | PaddlePaddle/PaddleOCR-VL-1.6 (~0.9B: ERNIE-4.5-0.3B decoder + NaViT vision encoder) |
| Quantization | 8-bit, group size 64, affine (≈9.6 bits/weight effective) |
| Format | MLX safetensors |
| Size | ~1.1 GB |
| Task | image → text (OCR / document parsing) |
1python -m mlx_vlm.convert \
2 --hf-path PaddlePaddle/PaddleOCR-VL-1.6 \
3 --mlx-path PaddleOCR-VL-1.6-8bit \
4 -q --q-bits 8 --q-group-size 64 --q-mode affine1from mlx_vlm import load
2model, processor = load("huggingfinger0/PaddleOCR-VL-1.6-8bit")