submission_id: sanjiwatsuki-silicon-maid-7b_v1
developer_uid: chaiverse_console_tests
status: torndown
model_repo: SanjiWatsuki/Silicon-Maid-7B
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 70, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. \n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-05T17:37:48+00:00
model_name: sanjiwatsuki-silicon-maid-7b_v1
model_eval_status: success
model_group: SanjiWatsuki/Silicon-Mai
num_battles: 167660
num_wins: 89540
celo_rating: 1183.33
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: sanjiwatsuki-silicon-maid-7b_v1
ineligible_reason: propriety_total_count < 800
language_model: SanjiWatsuki/Silicon-Maid-7B
model_size: 7B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-05
win_ratio: 0.5340570201598474
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sanjiwatsuki-silicon-maid-7b-v1-mkmlizer
Waiting for job on sanjiwatsuki-silicon-maid-7b-v1-mkmlizer to finish
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ _____ __ __ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ /___/ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ belonging to: ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ Chai Research Corp. ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ║ ║
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Downloaded to shared memory in 25.730s
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Reading /tmp/tmp23gi10y2/model.safetensors.index.json
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sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: quantized model in 16.004s
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Processed model SanjiWatsuki/Silicon-Maid-7B in 42.752s
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1/config.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1/special_tokens_map.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1/tokenizer_config.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1/tokenizer.model
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1/tokenizer.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/sanjiwatsuki-silicon-maid-7b-v1/mkml_model.tensors
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:24, 58.7MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:18, 77.7MB/s] pytorch_model.bin: 2%|▏ | 31.5M/1.44G [00:00<00:25, 55.8MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:09, 142MB/s] pytorch_model.bin: 7%|▋ | 94.4M/1.44G [00:00<00:09, 137MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:01<00:12, 102MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:01<00:05, 235MB/s] pytorch_model.bin: 17%|█▋ | 241M/1.44G [00:01<00:04, 268MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:01<00:02, 388MB/s] pytorch_model.bin: 44%|████▎ | 629M/1.44G [00:01<00:00, 1.01GB/s] pytorch_model.bin: 73%|███████▎ | 1.05G/1.44G [00:01<00:00, 1.79GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 807MB/s]
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Saving duration: 0.242s
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 6.041s
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: creating bucket guanaco-reward-models
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/special_tokens_map.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/tokenizer_config.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/merges.txt
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/config.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/vocab.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/tokenizer.json
sanjiwatsuki-silicon-maid-7b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sanjiwatsuki-silicon-maid-7b-v1_reward/reward.tensors
Job sanjiwatsuki-silicon-maid-7b-v1-mkmlizer completed after 75.66s with status: succeeded
Stopping job with name sanjiwatsuki-silicon-maid-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 80.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sanjiwatsuki-silicon-maid-7b-v1
Waiting for inference service sanjiwatsuki-silicon-maid-7b-v1 to be ready
Inference service sanjiwatsuki-silicon-maid-7b-v1 ready after 50.30188989639282s
Pipeline stage ISVCDeployer completed in 57.95s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.8028132915496826s
Received healthy response to inference request in 1.0263121128082275s
Received healthy response to inference request in 1.1057713031768799s
Received healthy response to inference request in 1.1253242492675781s
Received healthy response to inference request in 1.1999049186706543s
5 requests
0 failed requests
5th percentile: 1.042203950881958
10th percentile: 1.0580957889556886
20th percentile: 1.0898794651031494
30th percentile: 1.1096818923950196
40th percentile: 1.1175030708312987
50th percentile: 1.1253242492675781
60th percentile: 1.1551565170288085
70th percentile: 1.184988784790039
80th percentile: 1.32048659324646
90th percentile: 1.5616499423980714
95th percentile: 1.682231616973877
99th percentile: 1.7786969566345214
mean time: 1.2520251750946045
Pipeline stage StressChecker completed in 7.05s
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 0.06s
M-Eval Dataset for topic stay_in_character is loaded
sanjiwatsuki-silicon-maid-7b_v1 status is now deployed due to DeploymentManager action
sanjiwatsuki-silicon-maid-7b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sanjiwatsuki-silicon-maid-7b_v1
Running pipeline stage ISVCDeleter
Checking if service sanjiwatsuki-silicon-maid-7b-v1 is running
Tearing down inference service sanjiwatsuki-silicon-maid-7b-v1
Toredown service sanjiwatsuki-silicon-maid-7b-v1
Pipeline stage ISVCDeleter completed in 3.84s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sanjiwatsuki-silicon-maid-7b-v1/config.json from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sanjiwatsuki-silicon-maid-7b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.33s
sanjiwatsuki-silicon-maid-7b_v1 status is now torndown due to DeploymentManager action

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