submission_id: cgato-thespice-7b-v0-1-1_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: cgato/TheSpice-7b-v0.1.1
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: 2024-04-02T07:32:21+00:00
model_name: auto_submit_ricum_kuneruvopo
model_eval_status: success
safety_score: 0.76
entertaining: 6.58
stay_in_character: 8.44
user_preference: 7.4
double_thumbs_up: 63
thumbs_up: 79
thumbs_down: 33
num_battles: 5125
num_wins: 2142
win_ratio: 0.4179512195121951
celo_rating: 1104.67
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-v0-1-1-v2-mkmlizer
Waiting for job on cgato-thespice-7b-v0-1-1-v2-mkmlizer to finish
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ /___/ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ║ ║
cgato-thespice-7b-v0-1-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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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: 'ConversationMessage' object is not subscriptable
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cgato-thespice-7b-v0-1-1-v2-mkmlizer: Downloaded to shared memory in 20.161s
cgato-thespice-7b-v0-1-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-v0-1-1-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-v0-1-1-v2-mkmlizer: Reading /tmp/tmpw65ht6r6/pytorch_model.bin.index.json
cgato-thespice-7b-v0-1-1-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:02<11:23, 2.36s/it] Profiling: 34%|███▎ | 98/291 [00:03<00:05, 35.60it/s] Profiling: 70%|███████ | 204/291 [00:04<00:01, 58.62it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 59.79it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 49.15it/s]
cgato-thespice-7b-v0-1-1-v2-mkmlizer: quantized model in 16.867s
cgato-thespice-7b-v0-1-1-v2-mkmlizer: Processed model cgato/TheSpice-7b-v0.1.1 in 37.944s
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/cgato-thespice-7b-v0-1-1-v2/mkml_model.tensors
cgato-thespice-7b-v0-1-1-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-v0-1-1-v2-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-v0-1-1-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-v0-1-1-v2-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-v0-1-1-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-v0-1-1-v2-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-v0-1-1-v2-mkmlizer: warnings.warn(
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cgato-thespice-7b-v0-1-1-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-7b-v0-1-1-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-v0-1-1-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-v0-1-1-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/config.json
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/special_tokens_map.json
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/tokenizer_config.json
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/merges.txt
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/vocab.json
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/tokenizer.json
cgato-thespice-7b-v0-1-1-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-v0-1-1-v2_reward/reward.tensors
Job cgato-thespice-7b-v0-1-1-v2-mkmlizer completed after 63.88s with status: succeeded
Stopping job with name cgato-thespice-7b-v0-1-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 67.94s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-v0-1-1-v2
Waiting for inference service cgato-thespice-7b-v0-1-1-v2 to be ready
Inference service cgato-thespice-7b-v0-1-1-v2 ready after 120.76192021369934s
Pipeline stage ISVCDeployer completed in 127.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.5893206596374512s
Received healthy response to inference request in 1.0344336032867432s
Received healthy response to inference request in 0.6127839088439941s
Received healthy response to inference request in 0.7197318077087402s
Received healthy response to inference request in 0.7792088985443115s
5 requests
0 failed requests
5th percentile: 0.6341734886169433
10th percentile: 0.6555630683898925
20th percentile: 0.698342227935791
30th percentile: 0.7316272258758545
40th percentile: 0.755418062210083
50th percentile: 0.7792088985443115
60th percentile: 0.8812987804412842
70th percentile: 0.9833886623382568
80th percentile: 1.1454110145568848
90th percentile: 1.367365837097168
95th percentile: 1.4783432483673096
99th percentile: 1.567125177383423
mean time: 0.9470957756042481
Pipeline stage StressChecker completed in 5.44s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
cgato-thespice-7b-v0-1-1_v2 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-v0-1-1_v2 status is now inactive due to auto deactivation removed underperforming models

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