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[Test]Add accuracy test for model Phi-4-mini-instruct #3740

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[Test]Add accuracy test for model Phi-4-mini-instruct #3740

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2 changes: 2 additions & 0 deletions .github/workflows/accuracy_test.yaml
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Expand Up @@ -59,6 +59,8 @@ jobs:
model_name: DeepSeek-V2-Lite
- runner: a2-4
model_name: Qwen3-Next-80B-A3B-Instruct
- runner: a2-1
model_name: Phi-4-mini-instruct
fail-fast: false
# test will be triggered when tag 'accuracy-test' & 'ready-for-test'
if: >-
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14 changes: 14 additions & 0 deletions tests/e2e/models/configs/Phi-4-mini-instruct.yaml
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@@ -0,0 +1,14 @@
model_name: "LLM-Research/Phi-4-mini-instruct"
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critical

The model name LLM-Research/Phi-4-mini-instruct appears to be incorrect. There are no public Phi-4 models from Microsoft at this time, and the LLM-Research organization does not seem to exist on the Hugging Face Hub. This will likely cause the test to fail when it attempts to download the model.

It's possible you intended to use microsoft/phi-3-mini-4k-instruct. If that's the case, please update the model name. For consistency, you should also consider renaming this YAML file to phi-3-mini-4k-instruct.yaml and updating its entry in tests/e2e/models/configs/accuracy.txt.

model_name: "microsoft/phi-3-mini-4k-instruct"

runner: "linux-aarch64-a2-1"
hardware: "Atlas A2 Series"
tasks:
- name: "gsm8k"
metrics:
- name: "exact_match,strict-match"
value: 0.81
- name: "exact_match,flexible-extract"
value: 0.81
trust_remote_code: True
num_fewshot: 5
batch_size: 32
gpu_memory_utilization: 0.8
1 change: 1 addition & 0 deletions tests/e2e/models/configs/accuracy.txt
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Expand Up @@ -6,3 +6,4 @@ Qwen2-7B.yaml
Qwen2-VL-7B-Instruct.yaml
Qwen2-Audio-7B-Instruct.yaml
Qwen3-VL-30B-A3B-Instruct.yaml
Phi-4-mini-instruct.yaml
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