docs: performance section leads with the preferred mf64 bundle; superseded figures follow, explicitly labeled

README.md

@@ -121,40 +121,9 @@ Measured on a **16 GB Apple silicon Mac (M2 Pro, macOS 27 beta)**, sequential en
 `reset()` between samples. Load excluded from `s/row`; sample 1 excluded as a cache-warm
 outlier.
 
-### `gpu-pipelined/`
+### `mf64/` — preferred bundle
 
-| | |
-|---|---|
-| Cold load | 21.3 s |
-| Guided JSON parse | **10/10** |
-| Enum-clean | **10/10** |
-| s/row (long samples) | **17.88** |
-| s/row (short samples) | **8.59** |
-| Decode | **45.2–46.6 tok/s** |
-| TTFT | **6.5–23.3 s** |
-| Peak footprint | 0.16 GB |
-| Max RSS | 10.61 GB |
-
-Decode is healthy for the size — an MoE with ~1B active parameters decoding faster than a
-dense 2.6B. **The per-sample cost is prefill, not decode**: at 17.88 s/row it is roughly
-10× the LFM2.5-1.2B, entirely because of the missing prefill function.
-
-Unguided, free-form generation from a fixed prompt, 900-token cap, with the chat template
-patched to terminate the think block (unpatched, these runs return 0 characters).
-
-| depth | prompt tokens | TTFT | decode | generated | wall | peak footprint | max RSS |
-|---|---|---|---|---|---|---|---|
-| 3.4k | 3,249 | 70.05 s | 47.0 tok/s | 900 | 89.0 s | 0.21 GB | 10.58 GB |
-| 8k | 7,673 | 165.11 s | 45.2 tok/s | 519 | 176.8 s | 0.27 GB | 11.03 GB |
-
-**Needle-in-haystack recall at 8k: 3/3.** Three distinctive facts planted at 10/50/90% of
-the filler, strict scoring; returned at 7,813 prompt tokens in a 27-token answer
-(TTFT 168.09 s, 45.3 tok/s). 15k was not run: the manifest ceiling on `gpu-pipelined/` is
-8192, and S=1 prefill at that depth would cost roughly five minutes.
-
-### `mf64/`
-
-Same machine, same harness, same prompts, same schema, chat template unmodified.
+Chat template unmodified. Same harness and prompts as the superseded bundle (below); the comparison column restates its figures.
 
 | | `gpu-pipelined/` | `mf64/` |
 |---|---|---|
@@ -186,6 +155,37 @@ in depth.
 includes the graph compile. Subsequent loads were **22.9–26.2 s**. Budget roughly 17 GB of
 on-disk compile cache in addition to the 9.4 GB bundle.
 
+### `gpu-pipelined/` — superseded
+
+| | |
+|---|---|
+| Cold load | 21.3 s |
+| Guided JSON parse | **10/10** |
+| Enum-clean | **10/10** |
+| s/row (long samples) | **17.88** |
+| s/row (short samples) | **8.59** |
+| Decode | **45.2–46.6 tok/s** |
+| TTFT | **6.5–23.3 s** |
+| Peak footprint | 0.16 GB |
+| Max RSS | 10.61 GB |
+
+Decode is healthy for the size — an MoE with ~1B active parameters decoding faster than a
+dense 2.6B. **The per-sample cost is prefill, not decode**: at 17.88 s/row it is roughly
+10× the LFM2.5-1.2B, entirely because of the missing prefill function.
+
+Unguided, free-form generation from a fixed prompt, 900-token cap, with the chat template
+patched to terminate the think block (unpatched, these runs return 0 characters).
+
+| depth | prompt tokens | TTFT | decode | generated | wall | peak footprint | max RSS |
+|---|---|---|---|---|---|---|---|
+| 3.4k | 3,249 | 70.05 s | 47.0 tok/s | 900 | 89.0 s | 0.21 GB | 10.58 GB |
+| 8k | 7,673 | 165.11 s | 45.2 tok/s | 519 | 176.8 s | 0.27 GB | 11.03 GB |
+
+**Needle-in-haystack recall at 8k: 3/3** (this superseded bundle). Three distinctive facts planted at 10/50/90% of
+the filler, strict scoring; returned at 7,813 prompt tokens in a 27-token answer
+(TTFT 168.09 s, 45.3 tok/s). 15k was not run on this superseded bundle (`mf64/` above passes 3/3 at 15k): its manifest ceiling is
+8192, and S=1 prefill at that depth would cost roughly five minutes.
+
 ## Status
 
 | Artifact | Status |