convert: add @ModelBase.example (#27208)

* convert: add @ModelBase.example

* add docs

* add more variants

* BailingMoeV3ForCausalLM

* rm pocket-tts

docs/development/HOWTO-add-model.md

@@ -29,6 +29,7 @@ The required steps to implement for an HF model are:
 
 ```python
 @ModelBase.register("MyModelForCausalLM")
+@ModelBase.example("user/model")
 class MyModel(TextModel):
     model_arch = gguf.MODEL_ARCH.MYMODEL
 ```
@@ -37,10 +38,13 @@ or
 
 ```python
 @ModelBase.register("MyModelForConditionalGeneration")
+@ModelBase.example("user/model")
 class MyModel(MmprojModel):
     model_arch = gguf.MODEL_ARCH.MYMODEL
 ```
 
+The `example` should point to a valid Hugging Face model that will be used for testing. You can add multiple models if necessary. Prefer a non-gated model, or tiny random weights if no such model exists.
+
 2. Define the layout of the GGUF tensors in [constants.py](/gguf-py/gguf/constants.py)
 
 Add an enum entry in `MODEL_ARCH`, the model human friendly name in `MODEL_ARCH_NAMES` and the GGUF tensor names in `MODEL_TENSORS`.