submission_id: cgato-l3-thespice-8b-v3-2_v5
developer_uid: c.gato
best_of: 16
celo_rating: 1199.45
display_name: cgato-l3-thespice-8b-v3-2_v5
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v3.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v3.
model_name: cgato-l3-thespice-8b-v3-2_v5
model_num_parameters: 8030277632.0
model_repo: cgato/L3-TheSpice-8b-v3.2
model_size: 8B
num_battles: 12538
num_wins: 6626
ranking_group: single
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'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-05-15T15:38:57+00:00
us_pacific_date: 2024-05-15
win_ratio: 0.5284734407401499
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-2-v5-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-2-v5-mkmlizer to finish
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-2-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Downloaded to shared memory in 56.496s
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.2 in 82.031s
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v5
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v5/config.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v5/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v5/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v5/tokenizer.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v5/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Saving duration: 0.421s
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 13.571s
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: creating bucket guanaco-reward-models
Retrying (%r) after connection broken by '%r': %s
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: WARNING: Retrying failed request: /?location ([Errno 110] Connection timed out)
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: WARNING: Waiting 3 sec...
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/config.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/merges.txt
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/vocab.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/tokenizer.json
cgato-l3-thespice-8b-v3-2-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v5_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-2-v5-mkmlizer completed after 313.72s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-2-v5-mkmlizer
Pipeline stage MKMLizer completed in 319.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-2-v5
Waiting for inference service cgato-l3-thespice-8b-v3-2-v5 to be ready
Inference service cgato-l3-thespice-8b-v3-2-v5 ready after 40.254950284957886s
Pipeline stage ISVCDeployer completed in 48.48s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3383922576904297s
Received healthy response to inference request in 1.3382446765899658s
Received healthy response to inference request in 1.3000733852386475s
Received healthy response to inference request in 1.316227912902832s
Received healthy response to inference request in 1.311795711517334s
5 requests
0 failed requests
5th percentile: 1.3024178504943849
10th percentile: 1.304762315750122
20th percentile: 1.3094512462615966
30th percentile: 1.3126821517944336
40th percentile: 1.3144550323486328
50th percentile: 1.316227912902832
60th percentile: 1.3250346183776855
70th percentile: 1.333841323852539
80th percentile: 1.5382741928100587
90th percentile: 1.9383332252502443
95th percentile: 2.1383627414703366
99th percentile: 2.298386354446411
mean time: 1.5209467887878418
Pipeline stage StressChecker completed in 8.22s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-2_v5 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-2_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v3-2_v5
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v3-2-v5 is running
Tearing down inference service cgato-l3-thespice-8b-v3-2-v5
Toredown service cgato-l3-thespice-8b-v3-2-v5
Pipeline stage ISVCDeleter completed in 4.67s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v3-2-v5/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-2-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-2-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-2-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v3-2-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v3-2-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.23s
cgato-l3-thespice-8b-v3-2_v5 status is now torndown due to DeploymentManager action