submission_id: inv-konstanta-7b_v4
developer_uid: chai_backend_admin
status: inactive
model_repo: Inv/Konstanta-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, 'max_output_tokens': 64}
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}:'}
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: 2024-04-02T16:25:29+00:00
model_name: auto_submit_ricum_nesivaroti
model_eval_status: success
safety_score: 0.97
entertaining: 6.9
stay_in_character: 8.67
user_preference: 7.54
double_thumbs_up: 237
thumbs_up: 399
thumbs_down: 240
num_battles: 24320
num_wins: 10582
win_ratio: 0.4351151315789474
celo_rating: 1108.59
Resubmit model
Running pipeline stage MKMLizer
Starting job with name inv-konstanta-7b-v4-mkmlizer
Waiting for job on inv-konstanta-7b-v4-mkmlizer to finish
inv-konstanta-7b-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
inv-konstanta-7b-v4-mkmlizer: ║ _____ __ __ ║
inv-konstanta-7b-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
inv-konstanta-7b-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
inv-konstanta-7b-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
inv-konstanta-7b-v4-mkmlizer: ║ /___/ ║
inv-konstanta-7b-v4-mkmlizer: ║ ║
inv-konstanta-7b-v4-mkmlizer: ║ Version: 0.6.11 ║
inv-konstanta-7b-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
inv-konstanta-7b-v4-mkmlizer: ║ ║
inv-konstanta-7b-v4-mkmlizer: ║ The license key for the current software has been verified as ║
inv-konstanta-7b-v4-mkmlizer: ║ belonging to: ║
inv-konstanta-7b-v4-mkmlizer: ║ ║
inv-konstanta-7b-v4-mkmlizer: ║ Chai Research Corp. ║
inv-konstanta-7b-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
inv-konstanta-7b-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
inv-konstanta-7b-v4-mkmlizer: ║ ║
inv-konstanta-7b-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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inv-konstanta-7b-v4-mkmlizer: Downloaded to shared memory in 60.680s
inv-konstanta-7b-v4-mkmlizer: quantizing model to /dev/shm/model_cache
inv-konstanta-7b-v4-mkmlizer: Saving mkml model at /dev/shm/model_cache
inv-konstanta-7b-v4-mkmlizer: Reading /tmp/tmpkrk5iejj/model.safetensors.index.json
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
inv-konstanta-7b-v4-mkmlizer: Processed model Inv/Konstanta-7B in 78.181s
inv-konstanta-7b-v4-mkmlizer: creating bucket guanaco-mkml-models
inv-konstanta-7b-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
inv-konstanta-7b-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/inv-konstanta-7b-v4
inv-konstanta-7b-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/inv-konstanta-7b-v4/config.json
inv-konstanta-7b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/inv-konstanta-7b-v4/tokenizer_config.json
inv-konstanta-7b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/inv-konstanta-7b-v4/tokenizer.model
inv-konstanta-7b-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/inv-konstanta-7b-v4/special_tokens_map.json
inv-konstanta-7b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/inv-konstanta-7b-v4/tokenizer.json
inv-konstanta-7b-v4-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/inv-konstanta-7b-v4/mkml_model.tensors
inv-konstanta-7b-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
inv-konstanta-7b-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.
inv-konstanta-7b-v4-mkmlizer: warnings.warn(
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inv-konstanta-7b-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.
inv-konstanta-7b-v4-mkmlizer: warnings.warn(
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inv-konstanta-7b-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.
inv-konstanta-7b-v4-mkmlizer: warnings.warn(
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inv-konstanta-7b-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
inv-konstanta-7b-v4-mkmlizer: Saving duration: 0.273s
inv-konstanta-7b-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.541s
inv-konstanta-7b-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/inv-konstanta-7b-v4_reward/reward.tensors
Job inv-konstanta-7b-v4-mkmlizer completed after 116.36s with status: succeeded
Stopping job with name inv-konstanta-7b-v4-mkmlizer
Pipeline stage MKMLizer completed in 118.48s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service inv-konstanta-7b-v4
Waiting for inference service inv-konstanta-7b-v4 to be ready
Inference service inv-konstanta-7b-v4 ready after 40.27070665359497s
Pipeline stage ISVCDeployer completed in 46.80s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0769760608673096s
Received healthy response to inference request in 1.0380680561065674s
Received healthy response to inference request in 0.5004475116729736s
Received healthy response to inference request in 0.5594673156738281s
Received healthy response to inference request in 0.7684812545776367s
5 requests
0 failed requests
5th percentile: 0.5122514724731445
10th percentile: 0.5240554332733154
20th percentile: 0.5476633548736572
30th percentile: 0.6012701034545899
40th percentile: 0.6848756790161133
50th percentile: 0.7684812545776367
60th percentile: 0.876315975189209
70th percentile: 0.9841506958007812
80th percentile: 1.045849657058716
90th percentile: 1.0614128589630127
95th percentile: 1.069194459915161
99th percentile: 1.07541974067688
mean time: 0.7886880397796631
Pipeline stage StressChecker completed in 4.93s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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-konstanta-7b_v4 status is now deployed due to DeploymentManager action
inv-konstanta-7b_v4 status is now inactive due to auto deactivation removed underperforming models

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