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README.md

@@ -92,6 +92,7 @@ decoder start token (2) at position 0, then for step `t = 0, 1, 2, ...`:
 
 ```
 logits = decoder(hidden, mask, window)      # mask is the same one the encoder took
+ban every token that would repeat a 3-gram already in the output   # <- see below
 next   = argmax(logits[0, t])
 if next == 2: stop                          # </s>
 window[0, t + 1] = next
@@ -101,6 +102,13 @@ Detokenise the collected ids with the repo's tokenizer. There is no KV cache: th
 decoder is a plain static graph over the window, which is what makes it a single
 `.pte` with no state to carry between calls.
 
+**Implement the 3-gram ban.** `no_repeat_ngram_size: 3` is in the model's own
+`generation_config.json`, and it is not decoration: Florence-2-**large**'s decoder
+returns `<s>` as its argmax three times in a row and only that ban moves it on to the
+caption — without it the loop emits `<s>` forever and returns an empty string. This
+base model happens to move on by itself on every image tested here, so a plain argmax
+loop gives the same five captions. That is luck, not a contract.
+
 **4. Reading a detection answer.** Grounded tasks answer with `<loc_N>` tokens,
 `N` in 0..999. Four in a row are a box, and each coordinate is `(N + 0.5) × side /
 1000` in the original image's pixels — `side` being the image's width for x and its