[New Model]: nomic-embed-text-v2-moe (#17785)

docs/source/models/supported_models.md

@@ -622,7 +622,7 @@ Specified using `--task embed`.
   * [PP](#distributed-serving)
 - * `BertModel`
   * BERT-based
-  * `BAAI/bge-base-en-v1.5`, etc.
+  * `BAAI/bge-base-en-v1.5`, `Snowflake/snowflake-arctic-embed-xs`, etc.
   *
   *
 - * `Gemma2Model`
@@ -635,6 +635,16 @@ Specified using `--task embed`.
   * `parasail-ai/GritLM-7B-vllm`.
   * ✅︎
   * ✅︎
+- * `GteModel`
+  * GteModel
+  * `Snowflake/snowflake-arctic-embed-m-v2.0`.
+  *
+  * ︎
+- * `NomicBertModel`
+  * NomicBertModel
+  * `nomic-ai/nomic-embed-text-v1`, `nomic-ai/nomic-embed-text-v2-moe`, `Snowflake/snowflake-arctic-embed-m-long`, etc.
+  * ︎
+  * ︎
 - * `LlamaModel`, `LlamaForCausalLM`, `MistralModel`, etc.
   * Llama-based
   * `intfloat/e5-mistral-7b-instruct`, etc.
@@ -647,12 +657,12 @@ Specified using `--task embed`.
   * ✅︎
 - * `RobertaModel`, `RobertaForMaskedLM`
   * RoBERTa-based
-  * `sentence-transformers/all-roberta-large-v1`, `sentence-transformers/all-roberta-large-v1`, etc.
+  * `sentence-transformers/all-roberta-large-v1`, etc.
   *
   *
 - * `XLMRobertaModel`
   * XLM-RoBERTa-based
-  * `intfloat/multilingual-e5-large`, `jinaai/jina-reranker-v2-base-multilingual`, etc.
+  * `intfloat/multilingual-e5-large`, `jinaai/jina-reranker-v2-base-multilingual`, `Snowflake/snowflake-arctic-embed-l-v2.0`, `jinaai/jina-embeddings-v3`(see note), etc.
   *
   *
 :::
@@ -670,6 +680,10 @@ For both the 1.5B and 7B variants, you also need to enable `--trust-remote-code`
 See [relevant issue on HF Transformers](https://github.com/huggingface/transformers/issues/34882).
 :::
 
+:::{note}
+`jinaai/jina-embeddings-v3` supports multiple tasks through lora, while vllm temporarily only supports text-matching tasks by merging lora weights.
+:::
+
 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.