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feat: add gemini-2.0-flash-001 and gemini-2.0-flash-lite-001 to fine tune score endponts and multimodal endpoints #1650

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Merged
merged 9 commits into from
Apr 29, 2025
Merged

feat: add gemini-2.0-flash-001 and gemini-2.0-flash-lite-001 to fine tune score endponts and multimodal endpoints #1650

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487f6ef
add test, no code support yet
shuoweil Apr 17, 2025
18172c7
add gemini-2.0-xx to fine tune score endponts and multimodal endpoints
shuoweil Apr 23, 2025
cd8b682
wait for bqml to support gemini-2.0-flash-lite-001
shuoweil Apr 24, 2025
34523fd
remove unsupported GA feature
shuoweil Apr 24, 2025
6726713
remove unsupported fine-tune endpoints
shuoweil Apr 24, 2025
5c87879
fix a failed test
shuoweil Apr 25, 2025
106951f
remove features are not ready
shuoweil Apr 28, 2025
dd8f400
fix failed test
shuoweil Apr 28, 2025
abbfe6b
revert a typo
shuoweil Apr 28, 2025
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8 changes: 6 additions & 2 deletions bigframes/ml/llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -72,13 +72,16 @@
_GEMINI_FINE_TUNE_SCORE_ENDPOINTS = (
_GEMINI_1P5_PRO_002_ENDPOINT,
_GEMINI_1P5_FLASH_002_ENDPOINT,
_GEMINI_2_FLASH_001_ENDPOINT,
_GEMINI_2_FLASH_LITE_001_ENDPOINT,
)
_GEMINI_MULTIMODAL_ENDPOINTS = (
_GEMINI_1P5_PRO_001_ENDPOINT,
_GEMINI_1P5_PRO_002_ENDPOINT,
_GEMINI_1P5_FLASH_001_ENDPOINT,
_GEMINI_1P5_FLASH_002_ENDPOINT,
_GEMINI_2_FLASH_EXP_ENDPOINT,
_GEMINI_2_FLASH_001_ENDPOINT,
)

_CLAUDE_3_SONNET_ENDPOINT = "claude-3-sonnet"
Expand Down Expand Up @@ -712,7 +715,8 @@ def score(
] = "text_generation",
) -> bigframes.dataframe.DataFrame:
"""Calculate evaluation metrics of the model. Only support
"gemini-1.5-pro-002", and "gemini-1.5-flash-002".
"gemini-1.5-pro-002", "gemini-1.5-flash-002",
"gemini-2.0-flash-lite-001", and "gemini-2.0-flash-001".

.. note::

Expand Down Expand Up @@ -746,7 +750,7 @@ def score(

if self.model_name not in _GEMINI_FINE_TUNE_SCORE_ENDPOINTS:
raise NotImplementedError(
"score() only supports gemini-1.5-pro-002, and gemini-1.5-flash-2 model."
"score() only supports gemini-1.5-pro-002, gemini-1.5-flash-2, gemini-2.0-flash-001, and gemini-2.0-flash-lite-001 model."
)

X, y = utils.batch_convert_to_dataframe(X, y, session=self._bqml_model.session)
Expand Down
10 changes: 10 additions & 0 deletions tests/system/small/ml/test_llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -152,6 +152,8 @@ def test_create_load_gemini_text_generator_model(
"gemini-1.5-flash-001",
"gemini-1.5-flash-002",
"gemini-2.0-flash-exp",
"gemini-2.0-flash-001",
"gemini-2.0-flash-lite-001",
),
)
@pytest.mark.flaky(retries=2)
Expand All @@ -177,6 +179,8 @@ def test_gemini_text_generator_predict_default_params_success(
"gemini-1.5-flash-001",
"gemini-1.5-flash-002",
"gemini-2.0-flash-exp",
"gemini-2.0-flash-001",
"gemini-2.0-flash-lite-001",
),
)
@pytest.mark.flaky(retries=2)
Expand Down Expand Up @@ -204,6 +208,8 @@ def test_gemini_text_generator_predict_with_params_success(
"gemini-1.5-flash-001",
"gemini-1.5-flash-002",
"gemini-2.0-flash-exp",
"gemini-2.0-flash-001",
"gemini-2.0-flash-lite-001",
),
)
@pytest.mark.flaky(retries=2)
Expand Down Expand Up @@ -764,6 +770,8 @@ def test_text_embedding_generator_retry_no_progress(session, bq_connection):
(
"gemini-1.5-pro-002",
"gemini-1.5-flash-002",
"gemini-2.0-flash-001",
"gemini-2.0-flash-lite-001",
),
)
def test_llm_gemini_score(llm_fine_tune_df_default_index, model_name):
Expand Down Expand Up @@ -792,6 +800,8 @@ def test_llm_gemini_score(llm_fine_tune_df_default_index, model_name):
(
"gemini-1.5-pro-002",
"gemini-1.5-flash-002",
"gemini-2.0-flash-001",
"gemini-2.0-flash-lite-001",
),
)
def test_llm_gemini_pro_score_params(llm_fine_tune_df_default_index, model_name):
Expand Down
1 change: 1 addition & 0 deletions tests/system/small/ml/test_multimodal_llm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,7 @@ def test_multimodal_embedding_generator_predict_default_params_success(
"gemini-1.5-flash-001",
"gemini-1.5-flash-002",
"gemini-2.0-flash-exp",
"gemini-2.0-flash-001",
),
)
@pytest.mark.flaky(retries=2)
Expand Down