card: family table with decider-4b

README.md

@@ -19,12 +19,13 @@ mixture (1.47M examples, 455M tokens, 4.5 h on one GH200).
 
 ## The decider family
 
-All five repositories share one interface (`decider.infer.Decider`, `POST /v1/systemone` in TypeSafe's format) and one
+All six repositories share one interface (`decider.infer.Decider`, `POST /v1/systemone` in TypeSafe's format) and one
 readout: the letter logits at an answer slot, softmaxed over the options. Pick by size and input.
 
 | model | base | weights | use it for | numbers |
 |---|---|---|---|---|
 | [decider-2b](https://huggingface.co/Mapika/decider-2b) v10 | Qwen3.5-2B-Base | 3.5 GB bf16 | the default: routing, classification, judgments, browser agents; 4 ms per request with CUDA graphs on one GPU | regression set 0.805 in-task / 0.755 held-out; live browser 93%; Bespoke suite 0.704 |
+| [decider-4b](https://huggingface.co/Mapika/decider-4b) v1 | Qwen3.5-4B-Base | 8.4 GB bf16 | the middle point: knowledge and reasoning questions above the 2B in a dense 8.4 GB model; no RL stage | 0.834 / 0.788, above the 2B on 87 of 95 tasks; JevBench hard 0.541; Bespoke 0.757 |
 | [decider-35b-a3b](https://huggingface.co/Mapika/decider-35b-a3b) v1 | Qwen3.5-35B-A3B-Base (3B active) | 65 GB bf16 | when accuracy is worth 3 to 4 times the cost per decision: knowledge and multi-step questions, long policies | 0.855 / 0.810, above the 2B on 93 of 95 tasks; JevBench hard 0.676; Bespoke 0.774; no RL stage |
 | [decider-35b-a3b-nvfp4](https://huggingface.co/Mapika/decider-35b-a3b-nvfp4) | the 35B in NVFP4 | 19.6 GB | the 35B on Blackwell through vLLM or TensorRT-LLM | 1.0 to 1.5 points under bf16 on the measured fixtures |
 | [decider-0.8b](https://huggingface.co/Mapika/decider-0.8b) | Qwen3.5-0.8B-Base | 1.4 GB bf16 | the smallest: routing, yes/no and short-state lookups within 1 to 4 points of the 2B, 1.5x faster | 0.776 / 0.707 on the single-run protocol (2B: 0.809 / 0.739) |