[Model] Adding Granite MoE. (#8206)

Co-authored-by: Nick Hill <nickhill@us.ibm.com>

tests/models/decoder_only/language/test_granitemoe.py

@@ -0,0 +1,39 @@
+"""Compare the outputs of HF and vLLM for Granite models using greedy sampling.
+
+Run `pytest tests/models/test_granite.py`.
+"""
+import pytest
+
+from ...utils import check_logprobs_close
+
+MODELS = [
+    "ibm/PowerMoE-3b",
+]
+
+
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("dtype", ["bfloat16"])
+@pytest.mark.parametrize("max_tokens", [64])
+@pytest.mark.parametrize("num_logprobs", [5])
+def test_models(
+    hf_runner,
+    vllm_runner,
+    example_prompts,
+    model: str,
+    dtype: str,
+    max_tokens: int,
+    num_logprobs: int,
+) -> None:
+    with hf_runner(model, dtype=dtype) as hf_model:
+        hf_outputs = hf_model.generate_greedy_logprobs_limit(
+            example_prompts, max_tokens, num_logprobs)
+
+    with vllm_runner(model, dtype=dtype) as vllm_model:
+        vllm_outputs = vllm_model.generate_greedy_logprobs(
+            example_prompts, max_tokens, num_logprobs)
+    check_logprobs_close(
+        outputs_0_lst=hf_outputs,
+        outputs_1_lst=vllm_outputs,
+        name_0="hf",
+        name_1="vllm",
+    )