Card: capabilities table, where each model runs since 10-14; E2B-it's suites measured

README.md

@@ -40,7 +40,7 @@ What each D1A model line can do today. "Decisions" means D1A's System One API (`
 | Base model (trunk) | Gemma 4 E4B (pretrained base) | Gemma 4 E2B (pretrained base) | Gemma 4 E2B-it (instruction-tuned) | Gemma 4 12B-it QAT; **not trained yet** ([jonpol01/d1a#270](https://github.com/jonpol01/d1a/issues/270), shelved) |
 | Decisions (`/v1/systemone`) | yes | yes | yes (experimental) | — |
 | PR labeling, 487 PRs newer than all training: severity / change type | **79.1% / 90.6%**; P0/P1 found 13 of 30 | 77.2% / 87.5%; P0/P1 0 of 30 | 72.9% / 87.3%; P0/P1 3 of 30 ("not a PR labeller") | — |
-| Skill suites (hard, developer tools, long documents, transfer, Japanese JGLUE) | measured (card) | measured (card) | not measured | — |
+| Skill suites (hard, developer tools, long documents, transfer, Japanese JGLUE) | measured (card) | measured (card) | measured 2026-10-15 against E4B v0.6.1 (not published) | — |
 | Photos, voice and video (`/v1/systemone/media`, MLX builds with `media/`) | yes, zero-shot | yes; 25 of 28 demo answers match E4B | yes; 21 of 28 match E4B | — |
 | Routing temperature (`"use_case": "routing"`) | yes, T 1.18 (from v0.6.1) | yes, T 0.95 (from v0.6.1) | no | — |
 | Self-learning (outcome log, recalibration, learned flags) | yes, when served by `d1a.serving.serve` | yes | yes | — |
@@ -48,7 +48,7 @@ What each D1A model line can do today. "Decisions" means D1A's System One API (`
 | Embeddings | — | — | from a GGUF embedder served beside it (`D1A_EMBED_GGUF`) | — |
 | Builds | PyTorch `JohnP1/d1a-e4b`; MLX 8-bit `JohnP1/d1a-e4b-mlx-q8` (7.6 GB with 1.0 GB of media encoders) and mirror `mlx-community/d1a-e4b-8bit`; Core ML int8 preview `JohnP1/d1a-e4b-coreml` (text only, ≤512 tokens) | PyTorch `JohnP1/d1a-e2b`; MLX 8-bit `JohnP1/d1a-e2b-mlx-q8` (4.8 GB) and mirror `mlx-community/d1a-e2b-8bit`; Core ML int8 `JohnP1/d1a-e2b-coreml` (text only, ≤512 tokens) | PyTorch adapter `JohnP1/d1a-e2b-it`; MLX `JohnP1/d1a-e2b-it-mlx-q8` (4.8 GB) and `-mlx-q4` (3.6 GB), both merged; Core ML `JohnP1/d1a-e2b-it-coreml` and `-coreml-4bit` | 4-bit Q4_0 export ready (`scripts/export_mlx.py --q4-0`, [jonpol01/d1a#272](https://github.com/jonpol01/d1a/pull/272)) |
 | Calibration temperature | 1.95 | 1.45 | 1.41 | — |
-| Where it runs | the Mac mini playground and the PR labeler (MLX 8-bit, v0.6.1) | — | the Mieru iPhone app | — |
+| Where it runs | served on the Mac mini until 2026-10-14 (now its rollback) | — | the Mac mini since 2026-10-14: decisions, the PR labeler and OpenAI chat on one unmerged build; the Mieru iPhone app | — |
 
 Older single-purpose builds: `JohnP1/d1a-e4b-pr-labeler-mlx-q8` (v1) and `JohnP1/d1a-e4b-routing` / `-routing-mlx-q8` (v0.1), superseded by D1A-E4B v0.6.1.