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[Tests] [Bugfix] Skip MoE tests for models which cannot be imported #2890

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Merged
kylesayrs merged 3 commits into from
Jul 7, 2026
Merged

[Tests] [Bugfix] Skip MoE tests for models which cannot be imported #2890

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cfd6075
skip
kylesayrs Jul 6, 2026
3b358eb
test_load_quantizable_moe
kylesayrs Jul 6, 2026
625975b
reduce hidden dim
kylesayrs Jul 6, 2026
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19 changes: 16 additions & 3 deletions tests/llmcompressor/modeling/test_linearize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,9 @@
import pytest
import torch
from compressed_tensors.utils import patch_attr
from huggingface_hub.errors import StrictDataclassError
from safetensors import safe_open
from transformers import AutoModelForCausalLM
from transformers import AutoConfig, AutoModelForCausalLM
from transformers import initialization as init
from transformers.models.deepseek_v4.modeling_deepseek_v4 import (
DeepseekV4PreTrainedModel,
Expand Down Expand Up @@ -34,6 +35,11 @@
"hy_v3": {"hidden_size": 256, "moe_intermediate_size": 256, "num_experts": 16},
"jamba": {"hidden_size": 256, "intermediate_size": 256, "num_experts": 16},
"nemotron_h": {"hidden_size": 32, "moe_intermediate_size": 64},
"deepseek_v4": {
"hidden_size": 512,
"moe_intermediate_size": 64,
"n_routed_experts": 16,
},
}


Expand Down Expand Up @@ -84,6 +90,11 @@ def patch_deepseek_fp32_modules():
def test_load_quantizable_moe(
model_stub, exp_keys, tmp_path, patch_deepseek_fp32_modules
):
try:
AutoConfig.from_pretrained(model_stub)
except StrictDataclassError:
pytest.skip("Could not import model, please upgrade your transformers version")
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kylesayrs marked this conversation as resolved.

input_ids = torch.randint(1024, size=(1, NUM_TEST_TOKENS), device="cuda")
model = AutoModelForCausalLM.from_pretrained(model_stub, device_map="cuda")
true_outputs = model(input_ids=input_ids).logits
Expand Down Expand Up @@ -149,8 +160,10 @@ def test_linearize_moe(model_type):
config_cls = import_or_none(config_path)
experts_cls = import_or_none(experts_path)

assert config_cls is not None, f"Could not import config for {model_type}"
assert experts_cls is not None, f"Could not import experts for {model_type}"
if config_cls is None or experts_cls is None:
pytest.skip(
f"Could not import {model_type}, please upgrade your transformers version"
)
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kylesayrs marked this conversation as resolved.

with torch.device("cuda"):
config = config_cls(**CONFIG_OVERRIDES.get(model_type, {}))
Expand Down
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