Upload README.md with huggingface_hub

README.md

@@ -23,16 +23,13 @@ All variants take and return fp32 tensors — swap the `.pte` file, keep your ap
 |-----------|------|-----------|------------------------------------|------------------|
 | fp32 | `modnet_portrait_matting_xnnpack_fp32.pte` | 26.1 | 1.000000 | 64.9 |
 | fp16 | `modnet_portrait_matting_xnnpack_fp16.pte` | 24.4 | 1.000000 | 107.8 |
-| int8 | `modnet_portrait_matting_xnnpack_int8.pte` | 6.8 | 0.999949 | 46.5 |
 
 \*Mac arm64, single process, median of 10 — a reference point for relative cost
 only, not a device number (torch eager fp32 on the same machine: 120.1 ms).
 
-### Checked in the task's own units
+### Precisions that did not earn a slot
 
-Correlation is a first filter. These are the numbers that decide:
-
-- **int8** — measured in the units that matter for this model: mask IoU at 0.5, median 0.9922 over five real images (worst 0.9613) against the fp32 build.
+- **int8 is not shipped**: measured in the units that matter for this model — mask IoU at 0.5: median 0.9864 over 10 real images, worst 0.5970.
 
 ## Verification (executorch 1.4.0, torch 2.13.0)