google-gemma-4-31b-it

developer_uid: zonemercy
submission_id: google-gemma-4-31b-it_v39
model_name: google-gemma-4-31b-it_v39
model_group: google/gemma-4-31B-it
status: torndown
timestamp: 2026-04-13T21:01:03+00:00
num_battles: 10499
num_wins: 5562
celo_rating: 1324.18
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: google/gemma-4-31B-it
model_architecture: Gemma4ForConditionalGeneration
model_num_parameters: 28830461184.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 80
reward_model: default
display_name: google-gemma-4-31b-it_v39
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: google/gemma-4-31B-it
model_size: 29B
ranking_group: single
us_pacific_date: 2026-04-10
win_ratio: 0.5297647394989999
generation_params: {'temperature': 1.0, 'top_p': 0.95, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '<|redacted_im_end|>', '</s>', '###', '<|turn>', '<turn|>', '<|im_start|>'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 80}
formatter: {'memory_template': '<|turn>system\nYou are "{bot_name}". Stay in character and respond only as "{bot_name}". Create an entertaining dialogue<turn|>\n', 'prompt_template': '', 'bot_template': '<|turn>model\n{message}<turn|>\n', 'user_template': '<|turn>user\n{message}<turn|>\n', 'response_template': '<|turn>model\n<|channel>thought\n<channel|>', 'truncate_by_message': False}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage VLLMUploader
Starting job with name google-gemma-4-31b-it-v39-uploader
Waiting for job on google-gemma-4-31b-it-v39-uploader to finish
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1457, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     config_class = CONFIG_MAPPING[config_dict["model_type"]]
google-gemma-4-31b-it-v39-uploader:                    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1160, in __getitem__
google-gemma-4-31b-it-v39-uploader:     raise KeyError(key)
google-gemma-4-31b-it-v39-uploader: KeyError: 'gemma4'
google-gemma-4-31b-it-v39-uploader: During handling of the above exception, another exception occurred:
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 344, in <module>
google-gemma-4-31b-it-v39-uploader:     cli()
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1485, in __call__
google-gemma-4-31b-it-v39-uploader:     return self.main(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1406, in main
google-gemma-4-31b-it-v39-uploader:     rv = self.invoke(ctx)
google-gemma-4-31b-it-v39-uploader:          ^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1873, in invoke
google-gemma-4-31b-it-v39-uploader:     return _process_result(sub_ctx.command.invoke(sub_ctx))
google-gemma-4-31b-it-v39-uploader:                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1269, in invoke
google-gemma-4-31b-it-v39-uploader:     return ctx.invoke(self.callback, **ctx.params)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 824, in invoke
google-gemma-4-31b-it-v39-uploader:     return callback(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 36, in process
google-gemma-4-31b-it-v39-uploader:     config = AutoConfig.from_pretrained(
google-gemma-4-31b-it-v39-uploader:              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1459, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     raise ValueError(
google-gemma-4-31b-it-v39-uploader: ValueError: The checkpoint you are trying to load has model type `gemma4` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
google-gemma-4-31b-it-v39-uploader: You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
Job google-gemma-4-31b-it-v39-uploader completed after 24.31s with status: failed
Job failed google-gemma-4-31b-it-v39-uploader: 
Stopping job with name google-gemma-4-31b-it-v39-uploader
%s, retrying in %s seconds...
Starting job with name google-gemma-4-31b-it-v39-uploader
Waiting for job on google-gemma-4-31b-it-v39-uploader to finish
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1457, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     config_class = CONFIG_MAPPING[config_dict["model_type"]]
google-gemma-4-31b-it-v39-uploader:                    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1160, in __getitem__
google-gemma-4-31b-it-v39-uploader:     raise KeyError(key)
google-gemma-4-31b-it-v39-uploader: KeyError: 'gemma4'
google-gemma-4-31b-it-v39-uploader: During handling of the above exception, another exception occurred:
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 344, in <module>
google-gemma-4-31b-it-v39-uploader:     cli()
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1485, in __call__
google-gemma-4-31b-it-v39-uploader:     return self.main(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1406, in main
google-gemma-4-31b-it-v39-uploader:     rv = self.invoke(ctx)
google-gemma-4-31b-it-v39-uploader:          ^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1873, in invoke
google-gemma-4-31b-it-v39-uploader:     return _process_result(sub_ctx.command.invoke(sub_ctx))
google-gemma-4-31b-it-v39-uploader:                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1269, in invoke
google-gemma-4-31b-it-v39-uploader:     return ctx.invoke(self.callback, **ctx.params)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 824, in invoke
google-gemma-4-31b-it-v39-uploader:     return callback(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 36, in process
google-gemma-4-31b-it-v39-uploader:     config = AutoConfig.from_pretrained(
google-gemma-4-31b-it-v39-uploader:              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1459, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     raise ValueError(
google-gemma-4-31b-it-v39-uploader: ValueError: The checkpoint you are trying to load has model type `gemma4` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
google-gemma-4-31b-it-v39-uploader: You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1457, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     config_class = CONFIG_MAPPING[config_dict["model_type"]]
google-gemma-4-31b-it-v39-uploader:                    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1160, in __getitem__
google-gemma-4-31b-it-v39-uploader:     raise KeyError(key)
google-gemma-4-31b-it-v39-uploader: KeyError: 'gemma4'
google-gemma-4-31b-it-v39-uploader: During handling of the above exception, another exception occurred:
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 344, in <module>
google-gemma-4-31b-it-v39-uploader:     cli()
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1485, in __call__
google-gemma-4-31b-it-v39-uploader:     return self.main(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1406, in main
google-gemma-4-31b-it-v39-uploader:     rv = self.invoke(ctx)
google-gemma-4-31b-it-v39-uploader:          ^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1873, in invoke
google-gemma-4-31b-it-v39-uploader:     return _process_result(sub_ctx.command.invoke(sub_ctx))
google-gemma-4-31b-it-v39-uploader:                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1269, in invoke
google-gemma-4-31b-it-v39-uploader:     return ctx.invoke(self.callback, **ctx.params)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 824, in invoke
google-gemma-4-31b-it-v39-uploader:     return callback(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 36, in process
google-gemma-4-31b-it-v39-uploader:     config = AutoConfig.from_pretrained(
google-gemma-4-31b-it-v39-uploader:              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1459, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     raise ValueError(
google-gemma-4-31b-it-v39-uploader: ValueError: The checkpoint you are trying to load has model type `gemma4` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
google-gemma-4-31b-it-v39-uploader: You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
Job google-gemma-4-31b-it-v39-uploader completed after 13.44s with status: failed
Job failed google-gemma-4-31b-it-v39-uploader: 
Stopping job with name google-gemma-4-31b-it-v39-uploader
%s, retrying in %s seconds...
Starting job with name google-gemma-4-31b-it-v39-uploader
Waiting for job on google-gemma-4-31b-it-v39-uploader to finish
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1457, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     config_class = CONFIG_MAPPING[config_dict["model_type"]]
google-gemma-4-31b-it-v39-uploader:                    ~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1160, in __getitem__
google-gemma-4-31b-it-v39-uploader:     raise KeyError(key)
google-gemma-4-31b-it-v39-uploader: KeyError: 'gemma4'
google-gemma-4-31b-it-v39-uploader: During handling of the above exception, another exception occurred:
google-gemma-4-31b-it-v39-uploader: Traceback (most recent call last):
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 344, in <module>
google-gemma-4-31b-it-v39-uploader:     cli()
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1485, in __call__
google-gemma-4-31b-it-v39-uploader:     return self.main(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1406, in main
google-gemma-4-31b-it-v39-uploader:     rv = self.invoke(ctx)
google-gemma-4-31b-it-v39-uploader:          ^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1873, in invoke
google-gemma-4-31b-it-v39-uploader:     return _process_result(sub_ctx.command.invoke(sub_ctx))
google-gemma-4-31b-it-v39-uploader:                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 1269, in invoke
google-gemma-4-31b-it-v39-uploader:     return ctx.invoke(self.callback, **ctx.params)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/click/core.py", line 824, in invoke
google-gemma-4-31b-it-v39-uploader:     return callback(*args, **kwargs)
google-gemma-4-31b-it-v39-uploader:            ^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/code/uploading/compress.py", line 36, in process
google-gemma-4-31b-it-v39-uploader:     config = AutoConfig.from_pretrained(
google-gemma-4-31b-it-v39-uploader:              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
google-gemma-4-31b-it-v39-uploader:   File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1459, in from_pretrained
google-gemma-4-31b-it-v39-uploader:     raise ValueError(
google-gemma-4-31b-it-v39-uploader: ValueError: The checkpoint you are trying to load has model type `gemma4` but Transformers does not recognize this architecture. This could be because of an issue with the checkpoint, or because your version of Transformers is out of date.
google-gemma-4-31b-it-v39-uploader: You can update Transformers with the command `pip install --upgrade transformers`. If this does not work, and the checkpoint is very new, then there may not be a release version that supports this model yet. In this case, you can get the most up-to-date code by installing Transformers from source with the command `pip install git+https://github.com/huggingface/transformers.git`
Job google-gemma-4-31b-it-v39-uploader completed after 12.07s with status: failed
Job failed google-gemma-4-31b-it-v39-uploader: 
Stopping job with name google-gemma-4-31b-it-v39-uploader
clean up pipeline due to error=VLLMUploaderError('')
run pipeline stage %s
Running pipeline stage VLLMDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage VLLMDeleter completed in 0.20s
run pipeline stage %s
Running pipeline stage VLLMModelDeleter
Cleaning model data from S3
Pipeline stage VLLMModelDeleter completed in 0.20s
Shutdown handler de-registered
google-gemma-4-31b-it_v39 status is now failed due to DeploymentManager action
google-gemma-4-31b-it_v39 status is now torndown due to DeploymentManager action
google-gemma-4-31b-it_v39 status is now failed due to DeploymentManager action
admin requested tearing down of google-gemma-4-31b-it_v39
Shutdown handler not registered because Python interpreter is not running in the main thread
google-gemma-4-31b-it_v39 status is now torndown due to DeploymentManager action
google-gemma-4-31b-it_v39 status is now deployed due to DeploymentManager action
google-gemma-4-31b-it_v39 status is now inactive due to auto deactivation removed underperforming models
google-gemma-4-31b-it_v39 status is now torndown due to DeploymentManager action