Add code-revision config argument for Hugging Face Hub (#2892)

vllm/config.py

@@ -44,6 +44,9 @@ class ModelConfig:
         revision: The specific model version to use. It can be a branch name,
             a tag name, or a commit id. If unspecified, will use the default
             version.
+        code_revision: The specific revision to use for the model code on
+            Hugging Face Hub. It can be a branch name, a tag name, or a 
+            commit id. If unspecified, will use the default version.
         tokenizer_revision: The specific tokenizer version to use. It can be a
             branch name, a tag name, or a commit id. If unspecified, will use
             the default version.
@@ -70,6 +73,7 @@ class ModelConfig:
         dtype: Union[str, torch.dtype],
         seed: int,
         revision: Optional[str] = None,
+        code_revision: Optional[str] = None,
         tokenizer_revision: Optional[str] = None,
         max_model_len: Optional[int] = None,
         quantization: Optional[str] = None,
@@ -84,6 +88,7 @@ class ModelConfig:
         self.load_format = load_format
         self.seed = seed
         self.revision = revision
+        self.code_revision = code_revision
         self.tokenizer_revision = tokenizer_revision
         self.quantization = quantization
         self.enforce_eager = enforce_eager
@@ -103,7 +108,8 @@ class ModelConfig:
             self.download_dir = model_path
             self.tokenizer = model_path
 
-        self.hf_config = get_config(self.model, trust_remote_code, revision)
+        self.hf_config = get_config(self.model, trust_remote_code, revision,
+                                    code_revision)
         self.dtype = _get_and_verify_dtype(self.hf_config, dtype)
         self.max_model_len = _get_and_verify_max_len(self.hf_config,
                                                      max_model_len)

vllm/engine/arg_utils.py

@@ -32,6 +32,7 @@ class EngineArgs:
     max_paddings: int = 256
     disable_log_stats: bool = False
     revision: Optional[str] = None
+    code_revision: Optional[str] = None
     tokenizer_revision: Optional[str] = None
     quantization: Optional[str] = None
     enforce_eager: bool = False
@@ -75,6 +76,13 @@ class EngineArgs:
             help='the specific model version to use. It can be a branch '
             'name, a tag name, or a commit id. If unspecified, will use '
             'the default version.')
+        parser.add_argument(
+            '--code-revision',
+            type=str,
+            default=None,
+            help='the specific revision to use for the model code on '
+            'Hugging Face Hub. It can be a branch name, a tag name, or a '
+            'commit id. If unspecified, will use the default version.')
         parser.add_argument(
             '--tokenizer-revision',
             type=str,
@@ -279,13 +287,12 @@ class EngineArgs:
     ) -> Tuple[ModelConfig, CacheConfig, ParallelConfig, SchedulerConfig,
                DeviceConfig, Optional[LoRAConfig]]:
         device_config = DeviceConfig(self.device)
-        model_config = ModelConfig(self.model, self.tokenizer,
-                                   self.tokenizer_mode, self.trust_remote_code,
-                                   self.download_dir, self.load_format,
-                                   self.dtype, self.seed, self.revision,
-                                   self.tokenizer_revision, self.max_model_len,
-                                   self.quantization, self.enforce_eager,
-                                   self.max_context_len_to_capture)
+        model_config = ModelConfig(
+            self.model, self.tokenizer, self.tokenizer_mode,
+            self.trust_remote_code, self.download_dir, self.load_format,
+            self.dtype, self.seed, self.revision, self.code_revision,
+            self.tokenizer_revision, self.max_model_len, self.quantization,
+            self.enforce_eager, self.max_context_len_to_capture)
         cache_config = CacheConfig(self.block_size,
                                    self.gpu_memory_utilization,
                                    self.swap_space, self.kv_cache_dtype,

vllm/transformers_utils/config.py

@@ -16,10 +16,14 @@ _CONFIG_REGISTRY = {
 
 def get_config(model: str,
                trust_remote_code: bool,
-               revision: Optional[str] = None) -> PretrainedConfig:
+               revision: Optional[str] = None,
+               code_revision: Optional[str] = None) -> PretrainedConfig:
     try:
         config = AutoConfig.from_pretrained(
-            model, trust_remote_code=trust_remote_code, revision=revision)
+            model,
+            trust_remote_code=trust_remote_code,
+            revision=revision,
+            code_revision=code_revision)
     except ValueError as e:
         if (not trust_remote_code and
                 "requires you to execute the configuration file" in str(e)):
@@ -33,5 +37,7 @@ def get_config(model: str,
             raise e
     if config.model_type in _CONFIG_REGISTRY:
         config_class = _CONFIG_REGISTRY[config.model_type]
-        config = config_class.from_pretrained(model, revision=revision)
+        config = config_class.from_pretrained(model,
+                                              revision=revision,
+                                              code_revision=code_revision)
     return config