[New Model]: support GTE NewModel (#17986)

docs/source/models/supported_models.md

@@ -701,12 +701,22 @@ Specified using `--task embed`.
   * ✅︎
   * ✅︎
 - * `GteModel`
-  * GteModel
+  * Arctic-Embed-2.0-M
   * `Snowflake/snowflake-arctic-embed-m-v2.0`.
   *
   * ︎
+- * `GteNewModel`
+  * mGTE-TRM (see note)
+  * `Alibaba-NLP/gte-multilingual-base`, etc.
+  * ︎
+  * ︎
+- * `ModernBertModel`
+  * ModernBERT-based
+  * `Alibaba-NLP/gte-modernbert-base`, etc.
+  * ︎
+  * ︎
 - * `NomicBertModel`
-  * NomicBertModel
+  * Nomic BERT
   * `nomic-ai/nomic-embed-text-v1`, `nomic-ai/nomic-embed-text-v2-moe`, `Snowflake/snowflake-arctic-embed-m-long`, etc.
   * ︎
   * ︎
@@ -749,6 +759,10 @@ See [relevant issue on HF Transformers](https://github.com/huggingface/transform
 `jinaai/jina-embeddings-v3` supports multiple tasks through lora, while vllm temporarily only supports text-matching tasks by merging lora weights.
 :::
 
+:::{note}
+The second-generation GTE model (mGTE-TRM) is named `NewModel`. The name `NewModel` is too generic, you should set `--hf-overrides '{"architectures": ["GteNewModel"]}'` to specify the use of the `GteNewModel` architecture.
+:::
+
 If your model is not in the above list, we will try to automatically convert the model using
 {func}`~vllm.model_executor.models.adapters.as_embedding_model`. By default, the embeddings
 of the whole prompt are extracted from the normalized hidden state corresponding to the last token.