Support InternVL3 (#5350)

Co-authored-by: Mick <mickjagger19@icloud.com>
Co-authored-by: Chayenne <zhaochen20@outlook.com>

python/sglang/srt/hf_transformers_utils.py

@@ -19,6 +19,7 @@ import warnings
 from pathlib import Path
 from typing import Dict, Optional, Type, Union
 
+import transformers
 from huggingface_hub import snapshot_download
 from transformers import (
     AutoConfig,
@@ -26,6 +27,7 @@ from transformers import (
     AutoTokenizer,
     PretrainedConfig,
     PreTrainedTokenizer,
+    PreTrainedTokenizerBase,
     PreTrainedTokenizerFast,
 )
 from transformers.models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
@@ -38,6 +40,7 @@ from sglang.srt.configs import (
     KimiVLConfig,
     MultiModalityConfig,
 )
+from sglang.srt.configs.internvl import InternVLChatConfig
 from sglang.srt.connector import create_remote_connector
 from sglang.srt.utils import is_remote_url
 
@@ -48,6 +51,7 @@ _CONFIG_REGISTRY: Dict[str, Type[PretrainedConfig]] = {
     DeepseekVL2Config.model_type: DeepseekVL2Config,
     MultiModalityConfig.model_type: MultiModalityConfig,
     KimiVLConfig.model_type: KimiVLConfig,
+    InternVLChatConfig.model_type: InternVLChatConfig,
 }
 
 for name, cls in _CONFIG_REGISTRY.items():
@@ -90,6 +94,12 @@ def get_config(
         config = config_class.from_pretrained(model, revision=revision)
         # NOTE(HandH1998): Qwen2VL requires `_name_or_path` attribute in `config`.
         setattr(config, "_name_or_path", model)
+
+    if isinstance(model, str) and config.model_type == "internvl_chat":
+        for key, val in config.llm_config.__dict__.items():
+            if not hasattr(config, key):
+                setattr(config, key, val)
+
     if model_override_args:
         config.update(model_override_args)
 
@@ -211,6 +221,13 @@ def get_tokenizer(
     return tokenizer
 
 
+# Some models doesn't have an available processor, e.g.: InternVL
+def get_tokenizer_from_processor(processor):
+    if isinstance(processor, PreTrainedTokenizerBase):
+        return processor
+    return processor.tokenizer
+
+
 def get_processor(
     tokenizer_name: str,
     *args,
@@ -246,7 +263,9 @@ def get_processor(
         **kwargs,
     )
 
-    attach_additional_stop_token_ids(processor.tokenizer)
+    tokenizer = get_tokenizer_from_processor(processor)
+
+    attach_additional_stop_token_ids(tokenizer)
     return processor