[Bugfix] Skip fetching revision for model when model and weights_model are different

tests/test_config.py

@@ -9,6 +9,7 @@
 
 import pydantic
 import pytest
+from huggingface_hub import ResolvedRevision
 from pydantic import ValidationError
 
 import vllm.config.vllm as vllm_config_module
@@ -29,10 +30,7 @@
 from vllm.config.kernel import IrOpPriorityConfig
 from vllm.config.load import LoadConfig
 from vllm.config.utils import get_field
-from vllm.config.vllm import (
-    OPTIMIZATION_LEVEL_TO_CONFIG,
-    OptimizationLevel,
-)
+from vllm.config.vllm import OPTIMIZATION_LEVEL_TO_CONFIG, OptimizationLevel
 from vllm.platforms import current_platform
 from vllm.v1.attention.backend import AttentionCGSupport
 
@@ -1771,3 +1769,23 @@ def test_load_config_rejects_invalid_safetensors_load_strategy():
 def test_load_config_rejects_non_string_load_format(bad_load_format):
     with pytest.raises(pydantic.ValidationError):
         LoadConfig(load_format=bad_load_format)
+
+
+# A real Qwen3-0.6B model revision that is used in the tests below.
+REVISION = "c1899de289a04d12100db370d81485cdf75e47ca"
+
+
+@patch("vllm.config.model.resolve_revision", return_value=ResolvedRevision(REVISION))
+def test_revision_not_resolved_when_weights_differ_from_model(mock_resolve):
+    model_weights = "unsloth/Qwen3-0.6B-GGUF:Q8_0"
+    config = ModelConfig("Qwen/Qwen3-0.6B", model_weights=model_weights)
+    assert config.revision is None
+
+
+@patch("vllm.config.model.resolve_revision", return_value=ResolvedRevision(REVISION))
+def test_revision_resolved_when_weights_match_model(mock_resolve):
+    model = "Qwen/Qwen3-0.6B"
+    config = ModelConfig(model)
+    assert isinstance(config.revision, ResolvedRevision)
+    assert config.revision.resolved == REVISION
+    mock_resolve.assert_any_call(model, None, config.hf_token)

vllm/config/model.py

@@ -567,9 +567,11 @@ def __post_init__(
 
         # If loading model/tokenizer from HF Hub, resolve the revision once
         # to prevent resolving it multiple times downstream.
-        can_resolve_model_revision = (
-            self.hf_config_path is None or self.hf_config_path == self.model
-        )
+        # If the weights come from a different repo, we cannot eagerly resolve revision
+        weights_from_model = not self.model_weights or self.model_weights == self.model
+        # If the config comes from a different repo, we cannot eagerly resolve revision
+        config_from_model = not self.hf_config_path or self.hf_config_path == self.model
+        can_resolve_model_revision = config_from_model and weights_from_model
         if can_resolve_model_revision:
             self.revision = resolve_revision(
                 self.model,