[Model][LoRA]LoRA support added for Qwen2VLForConditionalGeneration (#10022)

Signed-off-by: ericperfect <[email protected]>

Author: ericperfect

docs/source/models/supported_models.rst

@@ -540,7 +540,7 @@ Text Generation
     - Qwen2-VL
     - T + I\ :sup:`E+` + V\ :sup:`+`
     - :code:`Qwen/Qwen2-VL-2B-Instruct`, :code:`Qwen/Qwen2-VL-7B-Instruct`, :code:`Qwen/Qwen2-VL-72B-Instruct`, etc.
-    -
+    - ✅︎
     - ✅︎
   * - :code:`UltravoxModel`
     - Ultravox

vllm/model_executor/models/qwen2_vl.py

@@ -40,7 +40,7 @@
 
 from vllm.attention import AttentionMetadata
 from vllm.attention.selector import _Backend
-from vllm.config import CacheConfig, MultiModalConfig
+from vllm.config import CacheConfig, LoRAConfig, MultiModalConfig
 from vllm.distributed import get_pp_group, parallel_state
 from vllm.distributed import utils as dist_utils
 from vllm.inputs import (INPUT_REGISTRY, DecoderOnlyInputs, DummyData,
@@ -65,7 +65,7 @@
 from vllm.transformers_utils.config import uses_mrope
 from vllm.transformers_utils.processor import cached_get_processor
 
-from .interfaces import SupportsMultiModal, SupportsPP
+from .interfaces import SupportsLoRA, SupportsMultiModal, SupportsPP
 from .utils import (PPMissingLayer, get_vit_attn_backend,
                     is_pp_missing_parameter,
                     make_empty_intermediate_tensors_factory)
@@ -927,13 +927,37 @@ def input_processor_for_qwen2_vl(
 @INPUT_REGISTRY.register_dummy_data(dummy_data_for_qwen2_vl)
 @INPUT_REGISTRY.register_input_processor(input_processor_for_qwen2_vl)
 class Qwen2VLForConditionalGeneration(nn.Module, SupportsMultiModal,
-                                      SupportsPP):
+                                      SupportsLoRA, SupportsPP):
+    packed_modules_mapping = {
+        "qkv_proj": [
+            "q_proj",
+            "k_proj",
+            "v_proj",
+        ],
+        "gate_up_proj": [
+            "gate_proj",
+            "up_proj",
+        ],
+    }
+
+    # LoRA specific attributes
+    # TODO Support LoRA for the visual encoder in the future.
+    supported_lora_modules = [
+        "qkv_proj",
+        "o_proj",
+        "gate_up_proj",
+        "down_proj",
+    ]
+    embedding_modules = {}
+    embedding_padding_modules = []
 
     def __init__(self,
                  config: Qwen2VLConfig,
                  multimodal_config: MultiModalConfig,
                  cache_config: Optional[CacheConfig] = None,
-                 quant_config: Optional[QuantizationConfig] = None) -> None:
+                 quant_config: Optional[QuantizationConfig] = None,
+                 lora_config: Optional[LoRAConfig] = None) -> None:
+
         super().__init__()
 
         assert not cache_config.enable_prefix_caching, \