[Usage]: Dose vLLM support embedding api of multimodal llm?

[sfyumi]

Your current environment

The output of `python collect_env.py`

How would you like to use vllm

eg: get embedding of minicpmv 2.6

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[DarkLight1337]

No, this is not supported yet.

[DarkLight1337]

In fact, this isn't even available for most language-only models. The only one supported right now is Mistral. See also #7915

[noooop]

I am working on it. #8453 #8452 @DarkLight1337

[noooop]

According to my understanding, MiniCPM-V 2.6 is a generative model, not a retrieval model specifically used to generate embeddings. (Maybe you need multimodal retrieval models such as BAAI/bge-visualized-m3 https://huggingface.co/BAAI/bge-visualized）

Can you send some sample code and tell me how you want to use MiniCPM-V 2.6 to generate embedding
@sfyumi

[sfyumi]

@noooop
We obtain the last hidden states from a language model (LLM) and use a multi-layer linear transformation to reduce the dimensionality as embedding.
We use both minicpmv 2.6 and qwen2 model as base model to get embeddings.

sample code

class MiniCpmlWithProjectionModel(MiniCPMV):
    def __init__(self, config):
        super().__init__(config)
        embedding_dim = config.hidden_size
        projection_output_dim = config.projection_output_dim if hasattr(config, "projection_output_dim") else 128
        self.projection_layer = nn.Sequential(
            nn.Linear(embedding_dim, 512),
            nn.ReLU(),
            nn.Linear(512, 256),
            nn.ReLU(),
            nn.Linear(256, projection_output_dim)
        )

    def forward(self, data, **kwargs):
        outputs = super().forward(data, **kwargs)
        hidden_states = outputs.hidden_states[-1]
        return self.projection_layer(hidden_states)

[noooop]

Understood

There is a small detail here.
vllm routing model_name to it corresponding implementation is through the architectures parameter in config.json.

You must think of a cool name to avoid routing to the previous model.

[noooop]

There are also issues that propose to output last hidden states #853, but I think this is very costly and the best way is to implement a model yourself. adding_model

[noooop]

Simple but inefficient method:

Output last hidden states #853, A hacker’s method is mentioned below. https://github.com/WuNein/vllm4mteb/tree/main
(Maybe vllm can add an option to output last hidden states in the future.
But you need to implement mlp in another process

More efficient implementation

Implement a model yourself. adding_model
There is a small detail here.
vllm routing model_name to it corresponding implementation is through the architectures parameter in config.json.

You must think of a cool name to avoid routing to the previous model.

[DarkLight1337]

You can now modify any existing model to support embeddings, please see #9314 (comment).

[jianglan89]

According to my understanding, MiniCPM-V 2.6 is a generative model, not a retrieval model specifically used to generate embeddings. (Maybe you need multimodal retrieval models such as BAAI/bge-visualized-m3 https://huggingface.co/BAAI/bge-visualized）

Can you send some sample code and tell me how you want to use MiniCPM-V 2.6 to generate embedding @sfyumi

does vllm support BAAI/bge-visualized now?

[DarkLight1337]

According to my understanding, MiniCPM-V 2.6 is a generative model, not a retrieval model specifically used to generate embeddings. (Maybe you need multimodal retrieval models such as BAAI/bge-visualized-m3 https://huggingface.co/BAAI/bge-visualized）
Can you send some sample code and tell me how you want to use MiniCPM-V 2.6 to generate embedding @sfyumi

does vllm support BAAI/bge-visualized now?

It doesn't look like the HF repo is compatible with transformers, so we can hardly load the model.