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datalab-to/chandra-ocr-2 quantized with oQ (oMLX v0.5.3) at level 2.5,
data-driven mixed precision: oQ measures each layer's quantization error through calibration and
allocates bits where the measurement says they matter, rather than by a fixed per-tensor rule.| Base | datalab-to/chandra-ocr-2 |
| oQ level | 2.5 (effective ~3.1–3.3 bits/weight) |
| Size | 2.5 GB (from 9.1 GB bf16) |
| Sensitivity entries | 248 |
| oMLX | v0.5.3 |
1from mlx_vlm import load, generate
2model, processor = load("1qh/chandra-ocr-2-oq2p5-mlx")