cycy233-l3-ss-a-v0-c2

developer_uid: shiroe40

submission_id: cycy233-l3-ss-a-v0-c2_v2

model_name: auto

model_group: cycy233/L3-ss-a-v0-c2

status: torndown

timestamp: 2024-08-15T02:12:42+00:00

num_battles: 11835

num_wins: 5487

celo_rating: 1183.27

family_friendly_score: 0.0

submission_type: basic

model_repo: cycy233/L3-ss-a-v0-c2

model_architecture: LlamaForCausalLM

reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: auto

is_internal_developer: False

language_model: cycy233/L3-ss-a-v0-c2

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-14

win_ratio: 0.46362484157160966

generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}

formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{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-ss-a-v0-c2-v2-mkmlizer
Waiting for job on cycy233-l3-ss-a-v0-c2-v2-mkmlizer to finish
Stopping job with name cycy233-l3-ss-a-v0-c2-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name cycy233-l3-ss-a-v0-c2-v2-mkmlizer
Waiting for job on cycy233-l3-ss-a-v0-c2-v2-mkmlizer to finish
Failed to get response for submission zonemercy-acute-nemo-v0-_5087_v1: ('http://zonemercy-acute-nemo-v0-5087-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  Version: 0.9.9                                                     ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Downloaded to shared memory in 24.479s
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpph1miatr, device:0
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: quantized model in 26.222s
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Processed model cycy233/L3-ss-a-v0-c2 in 50.701s
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ss-a-v0-c2-v2
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ss-a-v0-c2-v2/config.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ss-a-v0-c2-v2/special_tokens_map.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ss-a-v0-c2-v2/tokenizer_config.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ss-a-v0-c2-v2/tokenizer.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-ss-a-v0-c2-v2/flywheel_model.0.safetensors
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-ss-a-v0-c2-v2-mkmlizer:   warnings.warn(
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-ss-a-v0-c2-v2-mkmlizer:   warnings.warn(
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-ss-a-v0-c2-v2-mkmlizer:   warnings.warn(
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Saving duration: 1.486s
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 13.125s
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/config.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/special_tokens_map.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/tokenizer_config.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/merges.txt
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/vocab.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/tokenizer.json
cycy233-l3-ss-a-v0-c2-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ss-a-v0-c2-v2_reward/reward.tensors
Job cycy233-l3-ss-a-v0-c2-v2-mkmlizer completed after 106.44s with status: succeeded
Stopping job with name cycy233-l3-ss-a-v0-c2-v2-mkmlizer
Pipeline stage MKMLizer completed in 107.52s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ss-a-v0-c2-v2
Waiting for inference service cycy233-l3-ss-a-v0-c2-v2 to be ready
Inference service cycy233-l3-ss-a-v0-c2-v2 ready after 231.60411930084229s
Pipeline stage ISVCDeployer completed in 232.48s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3575150966644287s
Received healthy response to inference request in 1.5383710861206055s
Received healthy response to inference request in 1.5054032802581787s
Received healthy response to inference request in 1.4634864330291748s
Received healthy response to inference request in 1.521801471710205s
5 requests
0 failed requests
5th percentile: 1.4718698024749757
10th percentile: 1.4802531719207763
20th percentile: 1.4970199108123778
30th percentile: 1.508682918548584
40th percentile: 1.5152421951293946
50th percentile: 1.521801471710205
60th percentile: 1.5284293174743653
70th percentile: 1.5350571632385255
80th percentile: 1.7021998882293703
90th percentile: 2.0298574924468995
95th percentile: 2.193686294555664
99th percentile: 2.3247493362426757
mean time: 1.6773154735565186
Pipeline stage StressChecker completed in 9.20s
cycy233-l3-ss-a-v0-c2_v2 status is now deployed due to DeploymentManager action
cycy233-l3-ss-a-v0-c2_v2 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-ss-a-v0-c2_v2 status is now torndown due to DeploymentManager action