[New Model]: nomic-embed-text-v2-moe (#17785)

2025-05-11 15:59:43 +08:00
parent 06c0922a69
commit e4b8713380
9 changed files with 899 additions and 364 deletions
--- a/tests/models/language/pooling/test_nomic.py
+++ b/tests/models/language/pooling/test_nomic.py
@@ -0,0 +1,47 @@
+# SPDX-License-Identifier: Apache-2.0
+
+import pytest
+
+from ...utils import EmbedModelInfo, run_embedding_correctness_test
+
+MODELS = [
+    EmbedModelInfo("nomic-ai/nomic-embed-text-v1",
+                   architecture="NomicBertModel",
+                   dtype="float32",
+                   enable_test=True),
+    EmbedModelInfo("nomic-ai/nomic-embed-text-v1.5",
+                   architecture="NomicBertModel",
+                   dtype="float32",
+                   enable_test=False),
+    EmbedModelInfo("nomic-ai/nomic-embed-text-v2-moe",
+                   architecture="NomicBertModel",
+                   dtype="float32",
+                   enable_test=True)
+]
+
+
+@pytest.mark.parametrize("model_info", MODELS)
+def test_models_mteb(hf_runner, vllm_runner,
+                     model_info: EmbedModelInfo) -> None:
+    from .mteb_utils import mteb_test_embed_models
+    mteb_test_embed_models(hf_runner, vllm_runner, model_info)
+
+
+@pytest.mark.parametrize("model_info", MODELS)
+def test_models_correctness(hf_runner, vllm_runner, model_info: EmbedModelInfo,
+                            example_prompts) -> None:
+    if not model_info.enable_test:
+        pytest.skip("Skipping test.")
+
+    with vllm_runner(model_info.name,
+                     task="embed",
+                     dtype=model_info.dtype,
+                     max_model_len=None) as vllm_model:
+        vllm_outputs = vllm_model.encode(example_prompts)
+
+    with hf_runner(
+            model_info.name,
+            dtype=model_info.dtype,
+            is_sentence_transformer=True,
+    ) as hf_model:
+        run_embedding_correctness_test(hf_model, example_prompts, vllm_outputs)