google-gemma-2-27b-it

developer_uid: zonemercy
submission_id: google-gemma-2-27b-it_v12
model_name: google-gemma-2-27b-it_v10
model_group: google/gemma-2-27b-it
status: torndown
timestamp: 2024-07-23T21:04:16+00:00
num_battles: 16124
num_wins: 7151
celo_rating: 1151.52
family_friendly_score: 0.0
submission_type: basic
model_repo: google/gemma-2-27b-it
model_architecture: Gemma2ForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 28731935232.0
best_of: 1
max_input_tokens: 2048
max_output_tokens: 64
display_name: google-gemma-2-27b-it_v10
is_internal_developer: True
language_model: google/gemma-2-27b-it
model_size: 29B
ranking_group: single
us_pacific_date: 2024-07-23
win_ratio: 0.4435003721161002
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<end_of_turn>', '<|eot_id|>'], 'max_input_tokens': 2048, 'best_of': 1, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name google-gemma-2-27b-it-v12-mkmlizer
Waiting for job on google-gemma-2-27b-it-v12-mkmlizer to finish
google-gemma-2-27b-it-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
google-gemma-2-27b-it-v12-mkmlizer: ║     _____            __           __                                ║
google-gemma-2-27b-it-v12-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
google-gemma-2-27b-it-v12-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
google-gemma-2-27b-it-v12-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
google-gemma-2-27b-it-v12-mkmlizer: ║       /___/                                                         ║
google-gemma-2-27b-it-v12-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v12-mkmlizer: ║  Version: 0.9.5.post3                                               ║
google-gemma-2-27b-it-v12-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
google-gemma-2-27b-it-v12-mkmlizer: ║  https://mk1.ai                                                     ║
google-gemma-2-27b-it-v12-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v12-mkmlizer: ║  The license key for the current software has been verified as      ║
google-gemma-2-27b-it-v12-mkmlizer: ║  belonging to:                                                      ║
google-gemma-2-27b-it-v12-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v12-mkmlizer: ║  Chai Research Corp.                                                ║
google-gemma-2-27b-it-v12-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
google-gemma-2-27b-it-v12-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
google-gemma-2-27b-it-v12-mkmlizer: ║                                                                     ║
google-gemma-2-27b-it-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
google-gemma-2-27b-it-v12-mkmlizer: quantized model in 63.127s
google-gemma-2-27b-it-v12-mkmlizer: Processed model google/gemma-2-27b-it in 129.262s
google-gemma-2-27b-it-v12-mkmlizer: creating bucket guanaco-mkml-models
google-gemma-2-27b-it-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
google-gemma-2-27b-it-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/google-gemma-2-27b-it-v12
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/config.json
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/special_tokens_map.json
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/tokenizer_config.json
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/tokenizer.json
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/tokenizer.model
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/flywheel_model.2.safetensors
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/flywheel_model.1.safetensors
google-gemma-2-27b-it-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/google-gemma-2-27b-it-v12/flywheel_model.0.safetensors
google-gemma-2-27b-it-v12-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:950: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
google-gemma-2-27b-it-v12-mkmlizer:   warnings.warn(
google-gemma-2-27b-it-v12-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
google-gemma-2-27b-it-v12-mkmlizer:   warnings.warn(
google-gemma-2-27b-it-v12-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
google-gemma-2-27b-it-v12-mkmlizer:   warnings.warn(
google-gemma-2-27b-it-v12-mkmlizer: 
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google-gemma-2-27b-it-v12-mkmlizer: 
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google-gemma-2-27b-it-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
google-gemma-2-27b-it-v12-mkmlizer: Saving duration: 1.422s
google-gemma-2-27b-it-v12-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.794s
google-gemma-2-27b-it-v12-mkmlizer: creating bucket guanaco-reward-models
google-gemma-2-27b-it-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
google-gemma-2-27b-it-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/config.json
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/special_tokens_map.json
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/tokenizer_config.json
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/merges.txt
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/vocab.json
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/tokenizer.json
google-gemma-2-27b-it-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/google-gemma-2-27b-it-v12_reward/reward.tensors
Job google-gemma-2-27b-it-v12-mkmlizer completed after 177.67s with status: succeeded
Stopping job with name google-gemma-2-27b-it-v12-mkmlizer
Pipeline stage MKMLizer completed in 178.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service google-gemma-2-27b-it-v12
Waiting for inference service google-gemma-2-27b-it-v12 to be ready
Inference service google-gemma-2-27b-it-v12 ready after 60.566150188446045s
Pipeline stage ISVCDeployer completed in 61.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 4.078341007232666s
Received healthy response to inference request in 2.1995437145233154s
Received healthy response to inference request in 2.7050929069519043s
Received healthy response to inference request in 2.2063333988189697s
Received healthy response to inference request in 1.8630895614624023s
5 requests
0 failed requests
5th percentile: 1.930380392074585
10th percentile: 1.9976712226867677
20th percentile: 2.132252883911133
30th percentile: 2.200901651382446
40th percentile: 2.203617525100708
50th percentile: 2.2063333988189697
60th percentile: 2.4058372020721435
70th percentile: 2.605341005325317
80th percentile: 2.9797425270080566
90th percentile: 3.5290417671203613
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99th percentile: 4.023411083221435
mean time: 2.6104801177978514
Pipeline stage StressChecker completed in 13.66s
google-gemma-2-27b-it_v12 status is now deployed due to DeploymentManager action
google-gemma-2-27b-it_v12 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of google-gemma-2-27b-it_v12
Running pipeline stage ISVCDeleter
Checking if service google-gemma-2-27b-it-v12 is running
Tearing down inference service google-gemma-2-27b-it-v12
Service google-gemma-2-27b-it-v12 has been torndown
Pipeline stage ISVCDeleter completed in 5.25s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key google-gemma-2-27b-it-v12/config.json from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/tokenizer.json from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/tokenizer.model from bucket guanaco-mkml-models
Deleting key google-gemma-2-27b-it-v12/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key google-gemma-2-27b-it-v12_reward/config.json from bucket guanaco-reward-models
Deleting key google-gemma-2-27b-it-v12_reward/merges.txt from bucket guanaco-reward-models
Deleting key google-gemma-2-27b-it-v12_reward/reward.tensors from bucket guanaco-reward-models
Deleting key google-gemma-2-27b-it-v12_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key google-gemma-2-27b-it-v12_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key google-gemma-2-27b-it-v12_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key google-gemma-2-27b-it-v12_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 8.29s
google-gemma-2-27b-it_v12 status is now torndown due to DeploymentManager action