Card: simplify the generated quickstart paragraph

README.md

@@ -38,7 +38,8 @@ tt-model pull  changh95/locate-anything-3b-p150 --with-weights
 tt-model serve changh95/locate-anything-3b-p150
 ```
 
-`pull --with-weights` downloads the Docker image and the [`nvidia/LocateAnything-3B`](https://huggingface.co/nvidia/LocateAnything-3B) weights at `c32291ca5e996f5a7a485845b4f57a233936bba0` (into your HF cache; they are not in the image). `serve` starts the model's own HTTP server on port 20000 (or the next free port, if that one is busy); the first start compiles kernels for your device, which takes several minutes, and the server is ready when it logs `Application startup complete`.
+- Weights [`nvidia/LocateAnything-3B`](https://huggingface.co/nvidia/LocateAnything-3B) at `c32291ca5e99` go to your HF cache; the image does not contain them.
+- Serves on port 20000 (or the next free port); ready when the log says `Application startup complete`.
 
 ### Run with tt-cli