Model card: positive, concise wording

README.md

@@ -39,7 +39,7 @@ Commit-order drafters for **SPOT** (Speculating Positions Order Trajectory). Eac
 0.62M-parameter order model (3 layers, `d_model` 128, 8 heads, stale top-32 inputs). It reads only the target's
 own output distributions from the previous pass and predicts which masked position a block-diffusion target
 commits next. SPOT grows those predictions into a tree of candidate block states, and the target verifies the
-whole tree in one forward, exactly: a state is accepted only if it equals the target's own next state, and
+whole tree in one forward, exactly: an accepted state equals the target's own next state, and
 coupled-noise match keeps this exact at any temperature. On SDAR-8B this cuts target passes by up to 6.8× and
 reaches up to 3.2× the throughput of standard decoding, with the target's output unchanged.
 
@@ -54,8 +54,8 @@ reaches up to 3.2× the throughput of standard decoding, with the target's outpu
 | `llada2mini_b32.pt` | LLaDA2.0-mini | 32 | 0.636 |
 | `llada2mini_b16.pt` | LLaDA2.0-mini | 16 | 0.665 |
 
-`tuned/` holds the per-setting comparison drafters of the paper's appendix; they are not needed to use SPOT.
-A drafter can also drive a target it was not trained on (LLaDA-8B and Dream-7B have no native drafter).
+`tuned/` holds the per-setting comparison drafters of the paper's appendix; the six checkpoints above are all you need to use SPOT.
+A drafter can also drive other targets directly; LLaDA-8B and Dream-7B run with transferred drafters.
 
 ## Use