Update README.md

README.md

@@ -60,9 +60,6 @@ The base recipe is `ai_edge_quantizer.recipe.static_wi8_ai8()`, with local scale
 safeguards to avoid overflowing INT32 biases. Intermediate calibration ranges use an
 exponential moving average; the output logits use the global observed range.
 
-- Calibration images: 500 (manifest image IDs: 0–499).
-- Calibration manifest SHA-256: `6a8d04c842352ef41d7795e3ec6acd30a4cbad520466d69b8b0503a521d5d1e5`.
-- Base quantization recipe SHA-256: `3db5fac189c1707c9a0c3a18fecaa8fabd8c9ef3681af553d9e0c86fc18ec0fb`.
 
 For INT8 input, apply the preprocessing above, then compute
 `clip(round(x / input_scale) + input_zero_point, -128, 127)` and cast to INT8,