submission_id: cgato-thespice-7b-quick-v0-1_v1
developer_uid: c.gato
best_of: 16
celo_rating: 1167.86
display_name: cgato-thespice-7b-quick-v0-1_v1
family_friendly_score: 0.0
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}
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}
is_internal_developer: False
language_model: cgato/TheSpice-7b-Quick-v0.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: cgato/TheSpice-7b-Quick-
model_name: cgato-thespice-7b-quick-v0-1_v1
model_num_parameters: 7241732096.0
model_repo: cgato/TheSpice-7b-Quick-v0.1
model_size: 7B
num_battles: 14442
num_wins: 7677
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-15T11:46:42+00:00
us_pacific_date: 2024-04-15
win_ratio: 0.5315745741587038
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-7b-quick-v0-1-v1-mkmlizer
Waiting for job on cgato-thespice-7b-quick-v0-1-v1-mkmlizer to finish
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ _____ __ __ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ /___/ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ belonging to: ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ║ ║
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Downloaded to shared memory in 35.984s
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Reading /tmp/tmp02wa3ot2/model.safetensors.index.json
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cgato-thespice-7b-quick-v0-1-v1-mkmlizer: quantized model in 18.257s
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Processed model cgato/TheSpice-7b-Quick-v0.1 in 55.600s
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-7b-quick-v0-1-v1
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-v0-1-v1/config.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-v0-1-v1/special_tokens_map.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-v0-1-v1/tokenizer_config.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cgato-thespice-7b-quick-v0-1-v1/tokenizer.model
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-7b-quick-v0-1-v1/tokenizer.json
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-7b-quick-v0-1-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.
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-quick-v0-1-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.
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: warnings.warn(
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cgato-thespice-7b-quick-v0-1-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.
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: warnings.warn(
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:18, 76.8MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:12, 112MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:13, 98.8MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:00<00:04, 312MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:00<00:02, 433MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:00<00:01, 581MB/s] pytorch_model.bin: 31%|███ | 451M/1.44G [00:01<00:01, 564MB/s] pytorch_model.bin: 41%|████▏ | 598M/1.44G [00:01<00:01, 786MB/s] pytorch_model.bin: 48%|████▊ | 692M/1.44G [00:01<00:01, 693MB/s] pytorch_model.bin: 54%|█████▎ | 776M/1.44G [00:01<00:01, 667MB/s] pytorch_model.bin: 61%|██████ | 878M/1.44G [00:01<00:00, 704MB/s] pytorch_model.bin: 72%|███████▏ | 1.04G/1.44G [00:01<00:00, 895MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 278MB/s]
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Saving duration: 0.275s
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 9.375s
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/config.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/tokenizer_config.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/special_tokens_map.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/merges.txt
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/vocab.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/tokenizer.json
cgato-thespice-7b-quick-v0-1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-7b-quick-v0-1-v1_reward/reward.tensors
Job cgato-thespice-7b-quick-v0-1-v1-mkmlizer completed after 85.94s with status: succeeded
Stopping job with name cgato-thespice-7b-quick-v0-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 90.54s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-7b-quick-v0-1-v1
Waiting for inference service cgato-thespice-7b-quick-v0-1-v1 to be ready
Inference service cgato-thespice-7b-quick-v0-1-v1 ready after 40.33288240432739s
Pipeline stage ISVCDeployer completed in 48.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7578606605529785s
Received healthy response to inference request in 1.1775116920471191s
Received healthy response to inference request in 1.1888236999511719s
Received healthy response to inference request in 1.1966722011566162s
Received healthy response to inference request in 1.1941790580749512s
5 requests
0 failed requests
5th percentile: 1.1797740936279297
10th percentile: 1.1820364952087403
20th percentile: 1.1865612983703613
30th percentile: 1.1898947715759278
40th percentile: 1.1920369148254395
50th percentile: 1.1941790580749512
60th percentile: 1.1951763153076171
70th percentile: 1.1961735725402831
80th percentile: 1.3089098930358887
90th percentile: 1.5333852767944336
95th percentile: 1.645622968673706
99th percentile: 1.735413122177124
mean time: 1.3030094623565673
Pipeline stage StressChecker completed in 7.46s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
cgato-thespice-7b-quick-v0-1_v1 status is now deployed due to DeploymentManager action
cgato-thespice-7b-quick-v0-1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-7b-quick-v0-1_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-7b-quick-v0-1-v1 is running
Tearing down inference service cgato-thespice-7b-quick-v0-1-v1
Toredown service cgato-thespice-7b-quick-v0-1-v1
Pipeline stage ISVCDeleter completed in 3.94s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-7b-quick-v0-1-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-v0-1-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-v0-1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-v0-1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-v0-1-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key cgato-thespice-7b-quick-v0-1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-7b-quick-v0-1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.91s
cgato-thespice-7b-quick-v0-1_v1 status is now torndown due to DeploymentManager action