submission_id: freecs-thetawave-7b-v0-2_v1
developer_uid: Meliodia
status: torndown
model_repo: freecs/ThetaWave-7B-v0.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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}
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}
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}:', 'truncate_by_message': False}
timestamp: 2024-04-16T05:08:43+00:00
model_name: freecs-thetawave-7b-v0-2_v1
model_eval_status: success
model_group: freecs/ThetaWave-7B-v0.2
num_battles: 5924
num_wins: 2817
celo_rating: 1127.7
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: freecs-thetawave-7b-v0-2_v1
ineligible_reason: propriety_total_count < 800
language_model: freecs/ThetaWave-7B-v0.2
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-15
win_ratio: 0.475523295070898
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name freecs-thetawave-7b-v0-2-v1-mkmlizer
Waiting for job on freecs-thetawave-7b-v0-2-v1-mkmlizer to finish
freecs-thetawave-7b-v0-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ _____ __ __ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ /___/ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ Version: 0.6.11 ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ belonging to: ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ Chai Research Corp. ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ║ ║
freecs-thetawave-7b-v0-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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freecs-thetawave-7b-v0-2-v1-mkmlizer: Downloaded to shared memory in 27.568s
freecs-thetawave-7b-v0-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
freecs-thetawave-7b-v0-2-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
freecs-thetawave-7b-v0-2-v1-mkmlizer: Reading /tmp/tmpzpqfe09q/model.safetensors.index.json
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freecs-thetawave-7b-v0-2-v1-mkmlizer: quantized model in 16.551s
freecs-thetawave-7b-v0-2-v1-mkmlizer: Processed model freecs/ThetaWave-7B-v0.2 in 45.510s
freecs-thetawave-7b-v0-2-v1-mkmlizer: creating bucket guanaco-mkml-models
freecs-thetawave-7b-v0-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
freecs-thetawave-7b-v0-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/freecs-thetawave-7b-v0-2-v1
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/freecs-thetawave-7b-v0-2-v1/tokenizer.model
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/freecs-thetawave-7b-v0-2-v1/special_tokens_map.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/freecs-thetawave-7b-v0-2-v1/config.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/freecs-thetawave-7b-v0-2-v1/tokenizer_config.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/freecs-thetawave-7b-v0-2-v1/tokenizer.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
freecs-thetawave-7b-v0-2-v1-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.
freecs-thetawave-7b-v0-2-v1-mkmlizer: warnings.warn(
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freecs-thetawave-7b-v0-2-v1-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.
freecs-thetawave-7b-v0-2-v1-mkmlizer: warnings.warn(
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freecs-thetawave-7b-v0-2-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 60.9MB/s]
freecs-thetawave-7b-v0-2-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 32.2MB/s]
freecs-thetawave-7b-v0-2-v1-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.
freecs-thetawave-7b-v0-2-v1-mkmlizer: warnings.warn(
freecs-thetawave-7b-v0-2-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:07, 178MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:03, 352MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:02, 459MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:02, 492MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:00<00:01, 747MB/s] pytorch_model.bin: 30%|███ | 440M/1.44G [00:00<00:01, 846MB/s] pytorch_model.bin: 38%|███▊ | 556M/1.44G [00:00<00:00, 889MB/s] pytorch_model.bin: 45%|████▌ | 650M/1.44G [00:00<00:01, 738MB/s] pytorch_model.bin: 51%|█████ | 732M/1.44G [00:01<00:01, 703MB/s] pytorch_model.bin: 63%|██████▎ | 910M/1.44G [00:01<00:00, 975MB/s] pytorch_model.bin: 77%|███████▋ | 1.11G/1.44G [00:01<00:00, 1.23GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.01GB/s]
freecs-thetawave-7b-v0-2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
freecs-thetawave-7b-v0-2-v1-mkmlizer: Saving duration: 0.293s
freecs-thetawave-7b-v0-2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.410s
freecs-thetawave-7b-v0-2-v1-mkmlizer: creating bucket guanaco-reward-models
freecs-thetawave-7b-v0-2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
freecs-thetawave-7b-v0-2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/tokenizer_config.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/config.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/special_tokens_map.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/merges.txt
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/vocab.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/tokenizer.json
freecs-thetawave-7b-v0-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/freecs-thetawave-7b-v0-2-v1_reward/reward.tensors
Job freecs-thetawave-7b-v0-2-v1-mkmlizer completed after 74.57s with status: succeeded
Stopping job with name freecs-thetawave-7b-v0-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 78.59s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service freecs-thetawave-7b-v0-2-v1
Waiting for inference service freecs-thetawave-7b-v0-2-v1 to be ready
Inference service freecs-thetawave-7b-v0-2-v1 ready after 40.331830978393555s
Pipeline stage ISVCDeployer completed in 49.99s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4950318336486816s
Received healthy response to inference request in 0.9620797634124756s
Received healthy response to inference request in 1.0438179969787598s
Received healthy response to inference request in 0.9657659530639648s
Received healthy response to inference request in 1.038834810256958s
5 requests
0 failed requests
5th percentile: 0.9628170013427735
10th percentile: 0.9635542392730713
20th percentile: 0.965028715133667
30th percentile: 0.9803797245025635
40th percentile: 1.0096072673797607
50th percentile: 1.038834810256958
60th percentile: 1.0408280849456788
70th percentile: 1.0428213596343994
80th percentile: 1.1340607643127443
90th percentile: 1.3145462989807128
95th percentile: 1.4047890663146971
99th percentile: 1.4769832801818847
mean time: 1.1011060714721679
Pipeline stage StressChecker completed in 6.24s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
freecs-thetawave-7b-v0-2_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
freecs-thetawave-7b-v0-2_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of freecs-thetawave-7b-v0-2_v1
Running pipeline stage ISVCDeleter
Checking if service freecs-thetawave-7b-v0-2-v1 is running
Tearing down inference service freecs-thetawave-7b-v0-2-v1
Toredown service freecs-thetawave-7b-v0-2-v1
Pipeline stage ISVCDeleter completed in 4.84s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key freecs-thetawave-7b-v0-2-v1/config.json from bucket guanaco-mkml-models
Deleting key freecs-thetawave-7b-v0-2-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key freecs-thetawave-7b-v0-2-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key freecs-thetawave-7b-v0-2-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key freecs-thetawave-7b-v0-2-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key freecs-thetawave-7b-v0-2-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key freecs-thetawave-7b-v0-2-v1_reward/config.json from bucket guanaco-reward-models
Deleting key freecs-thetawave-7b-v0-2-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key freecs-thetawave-7b-v0-2-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key freecs-thetawave-7b-v0-2-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key freecs-thetawave-7b-v0-2-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key freecs-thetawave-7b-v0-2-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key freecs-thetawave-7b-v0-2-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.67s
freecs-thetawave-7b-v0-2_v1 status is now torndown due to DeploymentManager action

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