support llava video (#426)

python/sglang/launch_server_llavavid.py

@@ -0,0 +1,31 @@
+import argparse
+import multiprocessing as mp
+
+from sglang.srt.server import ServerArgs, launch_server
+
+if __name__ == "__main__":
+
+    model_overide_args = {}
+
+    model_overide_args["mm_spatial_pool_stride"] = 2
+    model_overide_args["architectures"] = ["LlavaVidForCausalLM"]
+    model_overide_args["num_frames"] = 16
+    model_overide_args["model_type"] = "llavavid"
+    if model_overide_args["num_frames"] == 32:
+        model_overide_args["rope_scaling"] = {"factor": 2.0, "type": "linear"}
+        model_overide_args["max_sequence_length"] = 4096 * 2
+        model_overide_args["tokenizer_model_max_length"] = 4096 * 2
+        model_overide_args["model_max_length"] = 4096 * 2
+
+    parser = argparse.ArgumentParser()
+    ServerArgs.add_cli_args(parser)
+    args = parser.parse_args()
+
+    if "34b" in args.model_path.lower():
+        model_overide_args["image_token_index"] = 64002
+
+    server_args = ServerArgs.from_cli_args(args)
+
+    pipe_reader, pipe_writer = mp.Pipe(duplex=False)
+
+    launch_server(server_args, pipe_writer, model_overide_args)