submission_id: inv-exponenta-alpha-7b_v5
developer_uid: Inv
status: inactive
model_repo: Inv/Exponenta-Alpha-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "Role-play as {bot_name} based on Persona: {memory}. Avoid repetition, don't loop. Develop the plot slowly, always stay in character. Describe all actions in full, elaborate, explicit, graphic, and vivid detail. Mention all relevant sensory perceptions.", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:'}
reward_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}:'}
timestamp: 2024-03-30T09:36:48+00:00
model_name: inv-exponenta-alpha-7b_v5
model_eval_status: success
safety_score: 0.98
entertaining: 7.14
stay_in_character: 8.69
user_preference: 7.5
double_thumbs_up: 701
thumbs_up: 951
thumbs_down: 383
num_battles: 74937
num_wins: 40402
win_ratio: 0.5391462161549034
celo_rating: 1185.72
Resubmit model
Running pipeline stage MKMLizer
Starting job with name inv-exponenta-alpha-7b-v5-mkmlizer
Waiting for job on inv-exponenta-alpha-7b-v5-mkmlizer to finish
inv-exponenta-alpha-7b-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-exponenta-alpha-7b-v5-mkmlizer: ║ _____ __ __ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ /___/ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ Version: 0.6.11 ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ The license key for the current software has been verified as ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ belonging to: ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ Chai Research Corp. ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-exponenta-alpha-7b-v5-mkmlizer: ║ ║
inv-exponenta-alpha-7b-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-exponenta-alpha-7b-v5-mkmlizer: Downloaded to shared memory in 19.031s
inv-exponenta-alpha-7b-v5-mkmlizer: quantizing model to /dev/shm/model_cache
inv-exponenta-alpha-7b-v5-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-exponenta-alpha-7b-v5-mkmlizer: Reading /tmp/tmpdsk7n_j7/model.safetensors.index.json
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inv-exponenta-alpha-7b-v5-mkmlizer: quantized model in 15.241s
inv-exponenta-alpha-7b-v5-mkmlizer: Processed model Inv/Exponenta-Alpha-7B in 35.244s
inv-exponenta-alpha-7b-v5-mkmlizer: creating bucket guanaco-mkml-models
inv-exponenta-alpha-7b-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-exponenta-alpha-7b-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5
inv-exponenta-alpha-7b-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5/special_tokens_map.json
inv-exponenta-alpha-7b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5/tokenizer_config.json
inv-exponenta-alpha-7b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5/tokenizer.model
inv-exponenta-alpha-7b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5/tokenizer.json
inv-exponenta-alpha-7b-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5/config.json
inv-exponenta-alpha-7b-v5-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-exponenta-alpha-7b-v5/mkml_model.tensors
inv-exponenta-alpha-7b-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-exponenta-alpha-7b-v5-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.
inv-exponenta-alpha-7b-v5-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v5-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.
inv-exponenta-alpha-7b-v5-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v5-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.
inv-exponenta-alpha-7b-v5-mkmlizer: warnings.warn(
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inv-exponenta-alpha-7b-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-exponenta-alpha-7b-v5-mkmlizer: Saving duration: 0.243s
inv-exponenta-alpha-7b-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.882s
inv-exponenta-alpha-7b-v5-mkmlizer: creating bucket guanaco-reward-models
inv-exponenta-alpha-7b-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
inv-exponenta-alpha-7b-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/inv-exponenta-alpha-7b-v5_reward
Job inv-exponenta-alpha-7b-v5-mkmlizer completed after 63.74s with status: succeeded
Stopping job with name inv-exponenta-alpha-7b-v5-mkmlizer
Pipeline stage MKMLizer completed in 68.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service inv-exponenta-alpha-7b-v5
Waiting for inference service inv-exponenta-alpha-7b-v5 to be ready
Exception raised while processing tagging_function
Traceback (most recent call last): File "/code/guanaco/guanaco_services/src/guanaco_model_service/chat_api.py", line 274, in resolve_chat_api conversation_tag = self.tagging_function(conversation_state) File "/home/zongyi/gitlab/zztools/zztools/llm/guanaco/submit_routing_model.py", line 176, in last_user_message_length TypeError: 'ConversationState' object is not subscriptable
Inference service inv-exponenta-alpha-7b-v5 ready after 40.21870255470276s
Pipeline stage ISVCDeployer completed in 48.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7171554565429688s
Received healthy response to inference request in 1.2039084434509277s
Received healthy response to inference request in 1.2001991271972656s
Received healthy response to inference request in 1.2004880905151367s
Received healthy response to inference request in 1.2142362594604492s
5 requests
0 failed requests
5th percentile: 1.20025691986084
10th percentile: 1.200314712524414
20th percentile: 1.2004302978515624
30th percentile: 1.201172161102295
40th percentile: 1.2025403022766112
50th percentile: 1.2039084434509277
60th percentile: 1.2080395698547364
70th percentile: 1.212170696258545
80th percentile: 1.3148200988769532
90th percentile: 1.515987777709961
95th percentile: 1.6165716171264648
99th percentile: 1.697038688659668
mean time: 1.3071974754333495
Pipeline stage StressChecker completed in 7.38s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
inv-exponenta-alpha-7b_v5 status is now deployed due to DeploymentManager action
inv-exponenta-alpha-7b_v5 status is now inactive due to auto deactivation removed underperforming models

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