developer_uid: shiroe40
submission_id: cycy233-l3-base-v6-e3-0_v7
model_name: cycy233-l3-base-v6-e3-0_v7
model_group: cycy233/L3-base-v6-e3.0
status: torndown
timestamp: 2024-07-03T02:49:07+00:00
num_battles: 14210
num_wins: 6095
celo_rating: 1132.98
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-base-v6-e3.0
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/CHAI_alignment_reward_model
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cycy233-l3-base-v6-e3-0_v7
is_internal_developer: False
language_model: cycy233/L3-base-v6-e3.0
model_size: 8B
ranking_group: single
us_pacific_date: 2024-07-02
win_ratio: 0.42892329345531316
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: {'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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-base-v6-e3-0-v7-mkmlizer
Waiting for job on cycy233-l3-base-v6-e3-0-v7-mkmlizer to finish
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║       /___/                                                         ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║                                                                     ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  Version: 0.8.14                                                    ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║                                                                     ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║                                                                     ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ║                                                                     ║
cycy233-l3-base-v6-e3-0-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Downloaded to shared memory in 21.328s
cycy233-l3-base-v6-e3-0-v7-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-base-v6-e3-0-v7-mkmlizer: 
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Loading 0:  29%|██▊       | 83/291 [00:01<00:02, 69.83it/s]
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-base-v6-e3-0-v7-mkmlizer: quantized model in 21.129s
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Processed model cycy233/L3-base-v6-e3.0 in 42.457s
cycy233-l3-base-v6-e3-0-v7-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-base-v6-e3-0-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v7
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v7/special_tokens_map.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v7/config.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v7/tokenizer_config.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v7/tokenizer.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-base-v6-e3-0-v7/flywheel_model.0.safetensors
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Saving duration: 0.105s
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Processed model Jellywibble/CHAI_alignment_reward_model in 4.182s
cycy233-l3-base-v6-e3-0-v7-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-base-v6-e3-0-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-base-v6-e3-0-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/special_tokens_map.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/config.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/merges.txt
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/tokenizer_config.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/vocab.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/tokenizer.json
cycy233-l3-base-v6-e3-0-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-base-v6-e3-0-v7_reward/reward.tensors
Job cycy233-l3-base-v6-e3-0-v7-mkmlizer completed after 76.89s with status: succeeded
Stopping job with name cycy233-l3-base-v6-e3-0-v7-mkmlizer
Pipeline stage MKMLizer completed in 78.48s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-base-v6-e3-0-v7
Waiting for inference service cycy233-l3-base-v6-e3-0-v7 to be ready
Inference service cycy233-l3-base-v6-e3-0-v7 ready after 40.751569747924805s
Pipeline stage ISVCDeployer completed in 50.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9544024467468262s
Received healthy response to inference request in 1.2049560546875s
Received healthy response to inference request in 1.220905065536499s
Received healthy response to inference request in 1.209303379058838s
Received healthy response to inference request in 1.2214407920837402s
5 requests
0 failed requests
5th percentile: 1.2058255195617675
10th percentile: 1.206694984436035
20th percentile: 1.2084339141845704
30th percentile: 1.2116237163543702
40th percentile: 1.2162643909454345
50th percentile: 1.220905065536499
60th percentile: 1.2211193561553955
70th percentile: 1.221333646774292
80th percentile: 1.3680331230163576
90th percentile: 1.6612177848815919
95th percentile: 1.8078101158142088
99th percentile: 1.9250839805603026
mean time: 1.3622015476226808
Pipeline stage StressChecker completed in 7.86s
cycy233-l3-base-v6-e3-0_v7 status is now deployed due to DeploymentManager action
cycy233-l3-base-v6-e3-0_v7 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cycy233-l3-base-v6-e3-0_v7
Running pipeline stage ISVCDeleter
Checking if service cycy233-l3-base-v6-e3-0-v7 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 7.86s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cycy233-l3-base-v6-e3-0-v7/config.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-base-v6-e3-0-v7/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cycy233-l3-base-v6-e3-0-v7/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-base-v6-e3-0-v7/tokenizer.json from bucket guanaco-mkml-models
Deleting key cycy233-l3-base-v6-e3-0-v7/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/merges.txt from bucket guanaco-reward-models
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cycy233-l3-base-v6-e3-0-v7_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.55s
cycy233-l3-base-v6-e3-0_v7 status is now torndown due to DeploymentManager action