Model card: add cross-variant length-budgets table and note

README.md

@@ -116,6 +116,17 @@ python scripts/train.py \
 | **Released checkpoint** | **global step 2000** (epoch 0.900) |
 | Random seed | 42 |
 
+**Length budgets across all four variants:**
+
+| Variant | max-seq-length | max-completion | max-prompt-tokens |
+|---|---|---|---|
+| **mismatched-wrong** | 7168 | 4096 | 3072 |
+| matched-wrong | 7168 | 4096 | 3072 |
+| no-draft | 7168 | 4096 | disabled (but it is equivalent to 3,072, as all prompts are short and no truncation) |
+| mismatched-correct | 8192 | 4096 | disabled |
+
+For a strict apple-to-apple comparison, `mismatched-correct` should have used `--max-seq-length 7168` and `--max-prompt-tokens 3072` like the other three variants; the larger 8,192 with the max-prompt-tokens cap left off was an omission. The effect should be negligible though — only **6 of 8,888** prompts exceed 3,072 tokens (longest 3,317), and for the other 8,882 the run is identical to a 7,168 / 3,072 setup. For those 6 the prompt is left untruncated, but the 4,096 max-completion length is still respected and max-seq-length runs only slightly past 7,168 (at most 3,317 + 4,096 = 7,413, well under 8,192). But to train a precise apple-to-apple version yourself, for mismatched-correct, change `--max-seq-length 8192` to `7168` and add `--max-prompt-tokens 3072`. For the no-draft variant, it is better to add `--max-prompt-tokens 3072` explicitly as well.
+
 ## Files
 
 - `adapter_model.safetensors`, `adapter_config.json` — the LoRA adapter (load with PEFT on the base model)