[Model] Initialize support for InternVL2 series models (#6514)

Co-authored-by: Roger Wang <ywang@roblox.com>

vllm/model_executor/models/internlm2.py

@@ -219,14 +219,22 @@ class InternLM2Model(nn.Module):
         ])
         self.norm = RMSNorm(config.hidden_size, eps=config.rms_norm_eps)
 
+    def get_input_embeddings(self, input_ids: torch.Tensor) -> torch.Tensor:
+        return self.tok_embeddings(input_ids)
+
     def forward(
         self,
         input_ids: torch.Tensor,
         positions: torch.Tensor,
         kv_caches: List[torch.Tensor],
         attn_metadata: AttentionMetadata,
+        intermediate_tensors: IntermediateTensors = None,
+        inputs_embeds: Optional[torch.Tensor] = None,
     ) -> torch.Tensor:
-        hidden_states = self.tok_embeddings(input_ids)
+        if inputs_embeds is not None:
+            hidden_states = inputs_embeds
+        else:
+            hidden_states = self.tok_embeddings(input_ids)
         residual = None
         for i in range(len(self.layers)):
             layer = self.layers[i]