cgato-thespice-7b-invert_9589

submission_id: cgato-thespice-7b-invert_9589_v4
developer_uid: c.gato
best_of: 16
display_name: cgato-thespice-7b-invert_9589_v4
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} responds in one line.\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': 70, 'presence_penalty': 0.25, 'frequency_penalty': 0.25, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: cgato/TheSpice-7b-InvertedInstruct-v0.1.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: error
model_group: cgato/TheSpice-7b-Invert
model_name: cgato-thespice-7b-invert_9589_v4
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-InvertedInstruct-v0.1.3
model_size: 7B
num_battles: 130
num_wins: 72
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n {bot_name} gives single line responses.\n{bot_name} gives short responses.\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: rejected
submission_type: basic
timestamp: 2024-04-18T11:22:17+00:00
us_pacific_date: 2024-04-18
win_ratio: 0.5538461538461539
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-invert-9589-v4-mkmlizer
Waiting for job on cgato-thespice-7b-invert-9589-v4-mkmlizer to finish
cgato-thespice-7b-invert-9589-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║     _____            __           __                                ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║       /___/                                                         ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  Version: 0.6.11                                                    ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  belonging to:                                                      ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ║                                                                     ║
cgato-thespice-7b-invert-9589-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-invert-9589-v4-mkmlizer: Downloaded to shared memory in 16.365s
cgato-thespice-7b-invert-9589-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v4-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-invert-9589-v4-mkmlizer: Reading /tmp/tmpa3111cu8/model.safetensors.index.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: 
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cgato-thespice-7b-invert-9589-v4-mkmlizer: quantized model in 16.123s
cgato-thespice-7b-invert-9589-v4-mkmlizer: Processed model cgato/TheSpice-7b-InvertedInstruct-v0.1.3 in 33.471s
cgato-thespice-7b-invert-9589-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-invert-9589-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-invert-9589-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4/config.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4/special_tokens_map.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4/tokenizer_config.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4/tokenizer.model
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4/tokenizer.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-invert-9589-v4/mkml_model.tensors
cgato-thespice-7b-invert-9589-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-invert-9589-v4-mkmlizer:   warnings.warn(
cgato-thespice-7b-invert-9589-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
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cgato-thespice-7b-invert-9589-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-invert-9589-v4-mkmlizer:   warnings.warn(
cgato-thespice-7b-invert-9589-v4-mkmlizer: 
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cgato-thespice-7b-invert-9589-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-7b-invert-9589-v4-mkmlizer:   warnings.warn(
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cgato-thespice-7b-invert-9589-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-invert-9589-v4-mkmlizer: Saving duration: 0.271s
cgato-thespice-7b-invert-9589-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.018s
cgato-thespice-7b-invert-9589-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-invert-9589-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-invert-9589-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/special_tokens_map.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/merges.txt
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/config.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/vocab.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/tokenizer_config.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/tokenizer.json
cgato-thespice-7b-invert-9589-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-invert-9589-v4_reward/reward.tensors
Job cgato-thespice-7b-invert-9589-v4-mkmlizer completed after 63.69s with status: succeeded
Stopping job with name cgato-thespice-7b-invert-9589-v4-mkmlizer
Pipeline stage MKMLizer completed in 64.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-invert-9589-v4
Waiting for inference service cgato-thespice-7b-invert-9589-v4 to be ready
Inference service cgato-thespice-7b-invert-9589-v4 ready after 40.21845006942749s
Pipeline stage ISVCDeployer completed in 48.68s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7311220169067383s
Received healthy response to inference request in 1.2129380702972412s
Received healthy response to inference request in 1.1929712295532227s
Received healthy response to inference request in 1.2394073009490967s
Received healthy response to inference request in 1.208094835281372s
5 requests
0 failed requests
5th percentile: 1.1959959506988525
10th percentile: 1.1990206718444825
20th percentile: 1.2050701141357423
30th percentile: 1.2090634822845459
40th percentile: 1.2110007762908936
50th percentile: 1.2129380702972412
60th percentile: 1.2235257625579834
70th percentile: 1.2341134548187256
80th percentile: 1.337750244140625
90th percentile: 1.5344361305236818
95th percentile: 1.63277907371521
99th percentile: 1.7114534282684326
mean time: 1.3169066905975342
Pipeline stage StressChecker completed in 7.83s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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-thespice-7b-invert_9589_v4 status is now deployed due to DeploymentManager action
cgato-thespice-7b-invert_9589_v4 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.