submission_id: psiilu-13b-nm-v0_v14
developer_uid: kaggleGM
status: torndown
model_repo: psiilu/13b-nm-v0
reward_repo: psiilu/reward-2
generation_params: {'temperature': 1.12, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 20, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "### Instruction:\nAs the assistant, your task is to fully embody the given character, creating immersive, captivating narratives. Stay true to the character's personality and background, generating responses that not only reflect their core traits but are also accurate to their character. Your responses should evoke emotion, suspense, and anticipation in the user. The more detailed and descriptive your response, the more vivid the narrative becomes. Aim to create a fertile environment for ongoing interaction – introduce new elements, offer choices, or ask questions to invite the user to participate more fully in the conversation. This conversation is a dance, always continuing, always evolving. Keep the conversation flowing. Sprikle in a story twist when the conversation seems stuck. If the user doesn't participate well in the conversation, just continue with an entertaining story yourself. Make sure that the next action or text is logical and makes sense in the temporal sequence of actions. Think about physical contraints. Strive to fulfill the deep desires of your conversation partner. Be careful, they may not be obvious.\nYour character: {bot_name}.\nContext: {memory}\n", 'prompt_template': '### Input:\n{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'Anonymous user: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-02-03T16:38:44+00:00
model_name: 13B-llms-reward
model_eval_status: success
model_group: psiilu/13b-nm-v0
num_battles: 21545
num_wins: 10026
celo_rating: 1127.19
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: None
model_num_parameters: 13015864320.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
display_name: 13B-llms-reward
ineligible_reason: propriety_total_count < 800
language_model: psiilu/13b-nm-v0
model_size: 13B
reward_model: psiilu/reward-2
us_pacific_date: 2024-02-03
win_ratio: 0.46535158969598517
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name psiilu-13b-nm-v0-v14-mkmlizer
Waiting for job on psiilu-13b-nm-v0-v14-mkmlizer to finish
psiilu-13b-nm-v0-v14-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
psiilu-13b-nm-v0-v14-mkmlizer: ║ _____ __ __ ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ /___/ ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ Version: 0.6.11 ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ The license key for the current software has been verified as ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ belonging to: ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ Chai Research Corp. ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
psiilu-13b-nm-v0-v14-mkmlizer: ║ ║
psiilu-13b-nm-v0-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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psiilu-13b-nm-v0-v14-mkmlizer: Downloaded to shared memory in 40.008s
psiilu-13b-nm-v0-v14-mkmlizer: quantizing model to /dev/shm/model_cache
psiilu-13b-nm-v0-v14-mkmlizer: Saving mkml model at /dev/shm/model_cache
psiilu-13b-nm-v0-v14-mkmlizer: Reading /tmp/tmpq7go5isc/model.safetensors.index.json
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psiilu-13b-nm-v0-v14-mkmlizer: quantized model in 28.517s
psiilu-13b-nm-v0-v14-mkmlizer: Processed model psiilu/13b-nm-v0 in 70.096s
psiilu-13b-nm-v0-v14-mkmlizer: creating bucket guanaco-mkml-models
psiilu-13b-nm-v0-v14-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
psiilu-13b-nm-v0-v14-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/config.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/tokenizer_config.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/added_tokens.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/special_tokens_map.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/tokenizer.model
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/tokenizer.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/psiilu-13b-nm-v0-v14/mkml_model.tensors
psiilu-13b-nm-v0-v14-mkmlizer: loading reward model from psiilu/reward-2
psiilu-13b-nm-v0-v14-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.
psiilu-13b-nm-v0-v14-mkmlizer: warnings.warn(
psiilu-13b-nm-v0-v14-mkmlizer: config.json: 0%| | 0.00/1.19k [00:00<?, ?B/s] config.json: 100%|██████████| 1.19k/1.19k [00:00<00:00, 13.6MB/s]
psiilu-13b-nm-v0-v14-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.
psiilu-13b-nm-v0-v14-mkmlizer: warnings.warn(
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psiilu-13b-nm-v0-v14-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.
psiilu-13b-nm-v0-v14-mkmlizer: warnings.warn(
psiilu-13b-nm-v0-v14-mkmlizer: model.safetensors: 0%| | 0.00/249M [00:00<?, ?B/s] model.safetensors: 4%|▍ | 10.5M/249M [00:00<00:04, 55.4MB/s] model.safetensors: 41%|████ | 102M/249M [00:00<00:00, 379MB/s] model.safetensors: 75%|███████▍ | 186M/249M [00:00<00:00, 541MB/s] model.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 464MB/s] model.safetensors: 100%|█████████▉| 249M/249M [00:00<00:00, 420MB/s]
psiilu-13b-nm-v0-v14-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
psiilu-13b-nm-v0-v14-mkmlizer: Saving duration: 0.092s
psiilu-13b-nm-v0-v14-mkmlizer: Processed model psiilu/reward-2 in 2.592s
psiilu-13b-nm-v0-v14-mkmlizer: creating bucket guanaco-reward-models
psiilu-13b-nm-v0-v14-mkmlizer: Bucket 's3://guanaco-reward-models/' created
psiilu-13b-nm-v0-v14-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/special_tokens_map.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/tokenizer_config.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/merges.txt
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/vocab.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/config.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/tokenizer.json
psiilu-13b-nm-v0-v14-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/psiilu-13b-nm-v0-v14_reward/reward.tensors
Job psiilu-13b-nm-v0-v14-mkmlizer completed after 98.07s with status: succeeded
Stopping job with name psiilu-13b-nm-v0-v14-mkmlizer
Pipeline stage MKMLizer completed in 103.46s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service psiilu-13b-nm-v0-v14
Waiting for inference service psiilu-13b-nm-v0-v14 to be ready
Inference service psiilu-13b-nm-v0-v14 ready after 50.729448556900024s
Pipeline stage ISVCDeployer completed in 58.91s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8479809761047363s
Received healthy response to inference request in 1.9265639781951904s
Received healthy response to inference request in 1.8743062019348145s
Received healthy response to inference request in 1.9611124992370605s
Received healthy response to inference request in 1.951930046081543s
5 requests
0 failed requests
5th percentile: 1.8847577571868896
10th percentile: 1.8952093124389648
20th percentile: 1.9161124229431152
30th percentile: 1.9316371917724608
40th percentile: 1.941783618927002
50th percentile: 1.951930046081543
60th percentile: 1.95560302734375
70th percentile: 1.959276008605957
80th percentile: 2.138486194610596
90th percentile: 2.493233585357666
95th percentile: 2.670607280731201
99th percentile: 2.8125062370300293
mean time: 2.112378740310669
Pipeline stage StressChecker completed in 11.46s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.09s
psiilu-13b-nm-v0_v14 status is now deployed due to admin request
psiilu-13b-nm-v0_v14 status is now inactive due to auto deactivation removed underperforming models
psiilu-13b-nm-v0_v14 status is now deployed due to admin request
psiilu-13b-nm-v0_v14 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of psiilu-13b-nm-v0_v14
Running pipeline stage ISVCDeleter
Checking if service psiilu-13b-nm-v0-v14 is running
Tearing down inference service psiilu-13b-nm-v0-v14
Toredown service psiilu-13b-nm-v0-v14
Pipeline stage ISVCDeleter completed in 6.36s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key psiilu-13b-nm-v0-v14/added_tokens.json from bucket guanaco-mkml-models
Deleting key psiilu-13b-nm-v0-v14/config.json from bucket guanaco-mkml-models
Deleting key psiilu-13b-nm-v0-v14/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key psiilu-13b-nm-v0-v14/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key psiilu-13b-nm-v0-v14/tokenizer.json from bucket guanaco-mkml-models
Deleting key psiilu-13b-nm-v0-v14/tokenizer.model from bucket guanaco-mkml-models
Deleting key psiilu-13b-nm-v0-v14/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key psiilu-13b-nm-v0-v14_reward/config.json from bucket guanaco-reward-models
Deleting key psiilu-13b-nm-v0-v14_reward/merges.txt from bucket guanaco-reward-models
Deleting key psiilu-13b-nm-v0-v14_reward/reward.tensors from bucket guanaco-reward-models
Deleting key psiilu-13b-nm-v0-v14_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key psiilu-13b-nm-v0-v14_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key psiilu-13b-nm-v0-v14_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key psiilu-13b-nm-v0-v14_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.36s
psiilu-13b-nm-v0_v14 status is now torndown due to DeploymentManager action

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