Revert "[Feature] specify model in config.yaml (#14855)" (#15293)

Signed-off-by: DarkLight1337 <[email protected]>

Author: DarkLight1337

docs/source/serving/openai_compatible_server.md

@@ -184,7 +184,6 @@ For example:
 ```yaml
 # config.yaml
 
-model: meta-llama/Llama-3.1-8B-Instruct
 host: "127.0.0.1"
 port: 6379
 uvicorn-log-level: "info"
@@ -193,13 +192,12 @@ uvicorn-log-level: "info"
 To use the above config file:
 
 ```bash
-vllm serve --config config.yaml
+vllm serve SOME_MODEL --config config.yaml
 ```
 
 :::{note}
 In case an argument is supplied simultaneously using command line and the config file, the value from the command line will take precedence.
 The order of priorities is `command line > config file values > defaults`.
-e.g. `vllm serve SOME_MODEL --config config.yaml`, SOME_MODEL takes precedence over `model` in config file.
 :::
 
 ## API Reference

tests/config/test_config_with_model.yaml

@@ -1121,15 +1121,3 @@ def pytest_collection_modifyitems(config, items):
     for item in items:
         if "optional" in item.keywords:
             item.add_marker(skip_optional)
-
-
-@pytest.fixture(scope="session")
-def cli_config_file():
-    """Return the path to the CLI config file."""
-    return os.path.join(_TEST_DIR, "config", "test_config.yaml")
-
-
-@pytest.fixture(scope="session")
-def cli_config_file_with_model():
-    """Return the path to the CLI config file with model."""
-    return os.path.join(_TEST_DIR, "config", "test_config_with_model.yaml")

tests/conftest.py

@@ -8,7 +8,7 @@
 
 import pytest
 import torch
-from vllm_test_utils.monitor import monitor
+from vllm_test_utils import monitor
 
 from vllm.config import ParallelConfig, VllmConfig, set_current_vllm_config
 from vllm.utils import (FlexibleArgumentParser, MemorySnapshot,
@@ -140,8 +140,7 @@ def parser():
 def parser_with_config():
     parser = FlexibleArgumentParser()
     parser.add_argument('serve')
-    parser.add_argument('model_tag', nargs='?')
-    parser.add_argument('--model', type=str)
+    parser.add_argument('model_tag')
     parser.add_argument('--served-model-name', type=str)
     parser.add_argument('--config', type=str)
     parser.add_argument('--port', type=int)
@@ -197,29 +196,29 @@ def test_missing_required_argument(parser):
         parser.parse_args([])
 
 
-def test_cli_override_to_config(parser_with_config, cli_config_file):
+def test_cli_override_to_config(parser_with_config):
     args = parser_with_config.parse_args([
-        'serve', 'mymodel', '--config', cli_config_file,
+        'serve', 'mymodel', '--config', './data/test_config.yaml',
         '--tensor-parallel-size', '3'
     ])
     assert args.tensor_parallel_size == 3
     args = parser_with_config.parse_args([
         'serve', 'mymodel', '--tensor-parallel-size', '3', '--config',
-        cli_config_file
+        './data/test_config.yaml'
     ])
     assert args.tensor_parallel_size == 3
     assert args.port == 12312
     args = parser_with_config.parse_args([
         'serve', 'mymodel', '--tensor-parallel-size', '3', '--config',
-        cli_config_file, '--port', '666'
+        './data/test_config.yaml', '--port', '666'
     ])
     assert args.tensor_parallel_size == 3
     assert args.port == 666
 
 
-def test_config_args(parser_with_config, cli_config_file):
+def test_config_args(parser_with_config):
     args = parser_with_config.parse_args(
-        ['serve', 'mymodel', '--config', cli_config_file])
+        ['serve', 'mymodel', '--config', './data/test_config.yaml'])
     assert args.tensor_parallel_size == 2
     assert args.trust_remote_code
     assert not args.multi_step_stream_outputs
@@ -241,9 +240,10 @@ def test_config_file(parser_with_config):
         ])
 
 
-def test_no_model_tag(parser_with_config, cli_config_file):
+def test_no_model_tag(parser_with_config):
     with pytest.raises(ValueError):
-        parser_with_config.parse_args(['serve', '--config', cli_config_file])
+        parser_with_config.parse_args(
+            ['serve', '--config', './data/test_config.yaml'])
 
 
 # yapf: enable
@@ -476,34 +476,3 @@ def test_swap_dict_values(obj, key1, key2):
         assert obj[key1] == original_obj[key2]
     else:
         assert key1 not in obj
-
-
-def test_model_specification(parser_with_config,
-                             cli_config_file,
-                             cli_config_file_with_model):
-    # Test model in CLI takes precedence over config
-    args = parser_with_config.parse_args([
-        'serve', 'cli-model', '--config', cli_config_file_with_model
-    ])
-    assert args.model_tag == 'cli-model'
-    assert args.served_model_name == 'mymodel'
-
-    # Test model from config file works
-    args = parser_with_config.parse_args([
-        'serve', '--config', cli_config_file_with_model
-    ])
-    assert args.model == 'config-model'
-    assert args.served_model_name == 'mymodel'
-
-    # Test no model specified anywhere raises error
-    with pytest.raises(ValueError, match="No model specified!"):
-        parser_with_config.parse_args(['serve', '--config', cli_config_file])
-
-    # Test other config values are preserved
-    args = parser_with_config.parse_args([
-        'serve', 'cli-model', '--config', cli_config_file_with_model
-    ])
-    assert args.tensor_parallel_size == 2
-    assert args.trust_remote_code is True
-    assert args.multi_step_stream_outputs is False
-    assert args.port == 12312

tests/config/test_config.yaml renamed to tests/data/test_config.yaml

@@ -21,16 +21,14 @@ def __init__(self):
 
     @staticmethod
     def cmd(args: argparse.Namespace) -> None:
-        # If model is specified in CLI (as positional arg), it takes precedence
-        if hasattr(args, 'model_tag') and args.model_tag is not None:
-            args.model = args.model_tag
-        # Otherwise use model from config (already in args.model)
-
-        # Check if we have a model specified somewhere
-        if args.model == EngineArgs.model:  # Still has default value
+        # The default value of `--model`
+        if args.model != EngineArgs.model:
             raise ValueError(
-                "With `vllm serve`, you should provide the model either as a "
-                "positional argument or in config file.")
+                "With `vllm serve`, you should provide the model as a "
+                "positional argument instead of via the `--model` option.")
+
+        # EngineArgs expects the model name to be passed as --model.
+        args.model = args.model_tag
 
         uvloop.run(run_server(args))
 
@@ -43,12 +41,10 @@ def subparser_init(
         serve_parser = subparsers.add_parser(
             "serve",
             help="Start the vLLM OpenAI Compatible API server",
-            usage="vllm serve [model_tag] [options]")
+            usage="vllm serve <model_tag> [options]")
         serve_parser.add_argument("model_tag",
                                   type=str,
-                                  nargs='?',
-                                  help="The model tag to serve "
-                                  "(optional if specified in config)")
+                                  help="The model tag to serve")
         serve_parser.add_argument(
             "--config",
             type=str,

tests/test_utils.py

@@ -1265,29 +1265,19 @@ def _pull_args_from_config(self, args: list[str]) -> list[str]:
         config_args = self._load_config_file(file_path)
 
         # 0th index is for {serve,chat,complete}
-        # optionally followed by model_tag (only for serve)
+        # followed by model_tag (only for serve)
         # followed by config args
         # followed by rest of cli args.
         # maintaining this order will enforce the precedence
         # of cli > config > defaults
         if args[0] == "serve":
-            model_in_cli = len(args) > 1 and not args[1].startswith('-')
-            model_in_config = any(arg == '--model' for arg in config_args)
-
-            if not model_in_cli and not model_in_config:
+            if index == 1:
                 raise ValueError(
-                    "No model specified! Please specify model either in "
-                    "command-line arguments or in config file.")
-
-            if model_in_cli:
-                # Model specified as positional arg, keep CLI version
-                args = [args[0]] + [
-                    args[1]
-                ] + config_args + args[2:index] + args[index + 2:]
-            else:
-                # No model in CLI, use config if available
-                args = [args[0]
-                        ] + config_args + args[1:index] + args[index + 2:]
+                    "No model_tag specified! Please check your command-line"
+                    " arguments.")
+            args = [args[0]] + [
+                args[1]
+            ] + config_args + args[2:index] + args[index + 2:]
         else:
             args = [args[0]] + config_args + args[1:index] + args[index + 2:]
 
@@ -1305,7 +1295,9 @@ def _load_config_file(self, file_path: str) -> list[str]:
                 '--port': '12323',
                 '--tensor-parallel-size': '4'
             ]
+
         """
+
         extension: str = file_path.split('.')[-1]
         if extension not in ('yaml', 'yml'):
             raise ValueError(
@@ -1330,15 +1322,7 @@ def _load_config_file(self, file_path: str) -> list[str]:
             if isinstance(action, StoreBoolean)
         ]
 
-        # Skip model from config if it's provided as positional argument
-        skip_model = (hasattr(self, '_parsed_args') and self._parsed_args
-                      and len(self._parsed_args) > 1
-                      and self._parsed_args[0] == 'serve'
-                      and not self._parsed_args[1].startswith('-'))
-
         for key, value in config.items():
-            if skip_model and key == 'model':
-                continue
             if isinstance(value, bool) and key not in store_boolean_arguments:
                 if value:
                     processed_args.append('--' + key)