[Model] Add Granite model (vllm-project#7436)

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

tests/models/test_granite.py

@@ -0,0 +1,49 @@
+"""Compare the outputs of HF and vLLM for Granite models using greedy sampling.
+
+Run `pytest tests/models/test_granite.py`.
+"""
+import importlib.metadata
+
+import pytest
+
+from .utils import check_logprobs_close
+
+TRANSFORMERS_VERSION = tuple(
+    map(int,
+        importlib.metadata.version("transformers").split(".")))
+
+MODELS = [
+    "ibm/PowerLM-3b",
+]
+
+
+# GraniteForCausalLM will be in transformers >= 4.45
+@pytest.mark.skipif(TRANSFORMERS_VERSION < (4, 45),
+                    reason="granite model test requires transformers >= 4.45")
+@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:
+    # TODO(sang): Sliding window should be tested separately.
+    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",
+    )

vllm/model_executor/models/__init__.py

@@ -65,6 +65,7 @@
     "EAGLEModel": ("eagle", "EAGLE"),
     "MLPSpeculatorPreTrainedModel": ("mlp_speculator", "MLPSpeculator"),
     "JambaForCausalLM": ("jamba", "JambaForCausalLM"),
+    "GraniteForCausalLM": ("granite", "GraniteForCausalLM")
 }
 
 _EMBEDDING_MODELS = {