update modeld/models readme (#27564)

* update readme with new model design

* typo

* space

selfdrive/modeld/models/README.md

@@ -2,7 +2,7 @@
 To view the architecture of the ONNX networks, you can use [netron](https://netron.app/)
 
 ## Supercombo
-### Supercombo input format (Full size: 393738 x float32)
+### Supercombo input format (Full size: 799906 x float32)
 * **image stream**
   * Two consecutive images (256 * 512 * 3 in RGB) recorded at 20 Hz : 393216 = 2 * 6 * 128 * 256
     * Each 256 * 512 image is represented in YUV420 with 6 channels : 6 * 128 * 256
@@ -16,11 +16,11 @@ To view the architecture of the ONNX networks, you can use [netron](https://netr
       * Channel 4 represents the half-res U channel
       * Channel 5 represents the half-res V channel
 * **desire**
-  * one-hot encoded vector to command model to execute certain actions, bit only needs to be sent for 1 frame : 8
+  * one-hot encoded buffer to command model to execute certain actions, bit needs to be sent for the past 5 seconds (at 20FPS) : 100 * 8
 * **traffic convention**
   * one-hot encoded vector to tell model whether traffic is right-hand or left-hand traffic : 2
-* **recurrent state**
-  * The recurrent state vector that is fed back into the GRU for temporal context : 512
+* **feature buffer**
+  * A buffer of intermediate features that gets appended to the current feature to form a 5 seconds temporal context (at 20FPS) : 99 * 128
 
 
 ### Supercombo output format (Full size: XXX x float32)