[MM][Bugfix] Update hf_config to hf_text_config (#5319)

### What this PR does / why we need it?

Following https://github.com/vllm-project/vllm-ascend/pull/5205, update
`hf_config` to `hf_text_config`.

Find more details at
https://github.com/vllm-project/vllm-ascend/pull/5205#issuecomment-3675417534
and
https://github.com/vllm-project/vllm-ascend/pull/5205#issuecomment-3677920872.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
5fbfa8d9ef

Signed-off-by: shen-shanshan <467638484@qq.com>
This commit is contained in:
Shanshan Shen
2026-01-06 16:41:39 +08:00
committed by GitHub
parent 293b2275df
commit b94d589769
23 changed files with 44 additions and 43 deletions

View File

@@ -79,7 +79,7 @@ class TestAscendQuantConfig(TestBase):
def test_get_quant_method_for_linear(self):
mock_config = MagicMock()
mock_config.model_config.hf_config.model_type = None
mock_config.model_config.hf_text_config.model_type = None
linear_layer = MagicMock(spec=LinearBase)
# Test skipped layer
with patch("vllm_ascend.quantization.quant_config.get_current_vllm_config", return_value=mock_config), \
@@ -103,7 +103,7 @@ class TestAscendQuantConfig(TestBase):
def test_get_quant_method_for_attention(self):
attention_layer = MagicMock(spec=Attention)
mock_config = MagicMock()
mock_config.model_config.hf_config.model_type = None
mock_config.model_config.hf_text_config.model_type = None
with patch("vllm_ascend.quantization.quant_config.get_current_vllm_config", return_value=mock_config), \
patch('vllm_ascend.quantization.quant_config.AscendKVCacheMethod', \
return_value=MagicMock()) as mock_ascend_kvcache:
@@ -117,7 +117,7 @@ class TestAscendQuantConfig(TestBase):
fused_moe_layer.moe = MagicMock(spec=FusedMoEConfig)
fused_moe_layer.moe_config = MagicMock(spec=FusedMoEConfig)
mock_config = MagicMock()
mock_config.model_config.hf_config.model_type = None
mock_config.model_config.hf_text_config.model_type = None
# Test skipped layer
with patch.object(self.ascend_config, 'is_layer_skipped_ascend', return_value=True), \