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[None][fix] AutoDeploy: Move hf_id_to_local_model_dir to function for GLM4.7 Flash test #14999

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Merged
bmarimuthu-nv merged 1 commit into from
Jun 5, 2026
Merged

[None][fix] AutoDeploy: Move hf_id_to_local_model_dir to function for GLM4.7 Flash test #14999

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12 changes: 6 additions & 6 deletions tests/integration/defs/accuracy/test_llm_api_autodeploy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -876,8 +876,8 @@ class TestGLM4Flash(LlmapiAccuracyTestHarness):
"""Accuracy regression tests for GLM-4.7-Flash variants."""

MODEL_NAME = "GLM-4.7-Flash"
MODEL_PATH_BF16 = hf_id_to_local_model_dir("zai-org/GLM-4.7-Flash")
MODEL_PATH_NVFP4 = hf_id_to_local_model_dir("DeepInfra/GLM-4.7-Flash-NVFP4")
MODEL_HF_ID_BF16 = "zai-org/GLM-4.7-Flash"
MODEL_HF_ID_NVFP4 = "DeepInfra/GLM-4.7-Flash-NVFP4"

# Set minimum possible seq len + small buffer, for test speed & memory usage
MAX_SEQ_LEN = max(MMLU.MAX_INPUT_LEN + MMLU.MAX_OUTPUT_LEN,
Expand Down Expand Up @@ -939,8 +939,8 @@ def get_default_sampling_params(self):
def test_auto_dtype(self, enable_chunked_prefill, attn_backend):
kwargs = self.get_default_kwargs(enable_chunked_prefill, attn_backend)
sampling_params = self.get_default_sampling_params()
with AutoDeployLLM(model=self.MODEL_PATH_BF16,
tokenizer=self.MODEL_PATH_BF16,
model_path = hf_id_to_local_model_dir(self.MODEL_HF_ID_BF16)
with AutoDeployLLM(model=model_path, tokenizer=model_path,
**kwargs) as llm:
task = MMLU(self.MODEL_NAME)
task.evaluate(llm, sampling_params=sampling_params)
Expand All @@ -953,8 +953,8 @@ def test_auto_dtype(self, enable_chunked_prefill, attn_backend):
def test_nvfp4(self, enable_chunked_prefill):
kwargs = self.get_default_kwargs(enable_chunked_prefill)
sampling_params = self.get_default_sampling_params()
with AutoDeployLLM(model=self.MODEL_PATH_NVFP4,
tokenizer=self.MODEL_PATH_NVFP4,
model_path = hf_id_to_local_model_dir(self.MODEL_HF_ID_NVFP4)
with AutoDeployLLM(model=model_path, tokenizer=model_path,
**kwargs) as llm:
# Manually set quant_config for NVFP4 model to get the accuracy threshold
llm.args.quant_config.quant_algo = QuantAlgo.NVFP4
Expand Down
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