submission_id: jellywibble-vampirekingshort_v3
developer_uid: chai_backend_admin
alignment_samples: 0
best_of: 2
celo_rating: 1192.29
display_name: jellywibble-vampirekingshort_v3
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', '###'], 'max_input_tokens': 1500, 'best_of': 2, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: Jellywibble/VampireKingShort
max_input_tokens: 1500
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Jellywibble/VampireKingS
model_name: jellywibble-vampirekingshort_v3
model_num_parameters: 12772070400.0
model_repo: Jellywibble/VampireKingShort
model_size: 13B
num_battles: 14784
num_wins: 6883
propriety_score: 0.7211755840241145
propriety_total_count: 1327.0
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-09T02:24:52+00:00
us_pacific_date: 2024-08-08
win_ratio: 0.4655708874458874
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-vampirekingshort-v3-mkmlizer
Waiting for job on jellywibble-vampirekingshort-v3-mkmlizer to finish
Stopping job with name jellywibble-vampirekingshort-v3-mkmlizer
%s, retrying in %s seconds...
Starting job with name jellywibble-vampirekingshort-v3-mkmlizer
Waiting for job on jellywibble-vampirekingshort-v3-mkmlizer to finish
jellywibble-vampirekingshort-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-vampirekingshort-v3-mkmlizer: ║     _____            __           __                                ║
jellywibble-vampirekingshort-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-vampirekingshort-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-vampirekingshort-v3-mkmlizer: ║       /___/                                                         ║
jellywibble-vampirekingshort-v3-mkmlizer: ║                                                                     ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  Version: 0.9.9                                                     ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-vampirekingshort-v3-mkmlizer: ║                                                                     ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  belonging to:                                                      ║
jellywibble-vampirekingshort-v3-mkmlizer: ║                                                                     ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-vampirekingshort-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-vampirekingshort-v3-mkmlizer: ║                                                                     ║
jellywibble-vampirekingshort-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-vampirekingshort-v3-mkmlizer: Downloaded to shared memory in 31.477s
jellywibble-vampirekingshort-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyzethxwt, device:0
jellywibble-vampirekingshort-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-vampirekingshort-v3-mkmlizer: quantized model in 36.004s
jellywibble-vampirekingshort-v3-mkmlizer: Processed model Jellywibble/VampireKingShort in 67.481s
jellywibble-vampirekingshort-v3-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-vampirekingshort-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-vampirekingshort-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-vampirekingshort-v3
jellywibble-vampirekingshort-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-vampirekingshort-v3/special_tokens_map.json
jellywibble-vampirekingshort-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-vampirekingshort-v3/config.json
jellywibble-vampirekingshort-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-vampirekingshort-v3/tokenizer_config.json
jellywibble-vampirekingshort-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-vampirekingshort-v3/tokenizer.json
jellywibble-vampirekingshort-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-vampirekingshort-v3/flywheel_model.0.safetensors
jellywibble-vampirekingshort-v3-mkmlizer: loading reward model from ChaiML/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.
jellywibble-vampirekingshort-v3-mkmlizer:   warnings.warn(
jellywibble-vampirekingshort-v3-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.
jellywibble-vampirekingshort-v3-mkmlizer:   warnings.warn(
jellywibble-vampirekingshort-v3-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.
jellywibble-vampirekingshort-v3-mkmlizer:   warnings.warn(
jellywibble-vampirekingshort-v3-mkmlizer: 
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jellywibble-vampirekingshort-v3-mkmlizer: 
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jellywibble-vampirekingshort-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
jellywibble-vampirekingshort-v3-mkmlizer: Saving duration: 1.382s
jellywibble-vampirekingshort-v3-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 15.532s
jellywibble-vampirekingshort-v3-mkmlizer: creating bucket guanaco-reward-models
jellywibble-vampirekingshort-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-vampirekingshort-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-vampirekingshort-v3_reward
jellywibble-vampirekingshort-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-vampirekingshort-v3_reward/merges.txt
jellywibble-vampirekingshort-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-vampirekingshort-v3_reward/vocab.json
jellywibble-vampirekingshort-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-vampirekingshort-v3_reward/tokenizer.json
jellywibble-vampirekingshort-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-vampirekingshort-v3_reward/reward.tensors
Job jellywibble-vampirekingshort-v3-mkmlizer completed after 115.28s with status: succeeded
Stopping job with name jellywibble-vampirekingshort-v3-mkmlizer
Pipeline stage MKMLizer completed in 117.33s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-vampirekingshort-v3
Waiting for inference service jellywibble-vampirekingshort-v3 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service jellywibble-vampirekingshort-v3 ready after 201.33193373680115s
Pipeline stage ISVCDeployer completed in 203.18s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.805938959121704s
Received healthy response to inference request in 1.8262479305267334s
Received healthy response to inference request in 1.332355260848999s
Received healthy response to inference request in 1.2787823677062988s
Received healthy response to inference request in 1.3144137859344482s
5 requests
0 failed requests
5th percentile: 1.2859086513519287
10th percentile: 1.2930349349975585
20th percentile: 1.3072875022888184
30th percentile: 1.3180020809173585
40th percentile: 1.3251786708831788
50th percentile: 1.332355260848999
60th percentile: 1.521788740158081
70th percentile: 1.711222219467163
80th percentile: 1.81000075340271
90th percentile: 1.8181243419647217
95th percentile: 1.8221861362457275
99th percentile: 1.8254355716705322
mean time: 1.5115476608276368
Pipeline stage StressChecker completed in 8.34s
jellywibble-vampirekingshort_v3 status is now deployed due to DeploymentManager action
jellywibble-vampirekingshort_v3 status is now inactive due to auto deactivation removed underperforming models
jellywibble-vampirekingshort_v3 status is now torndown due to DeploymentManager action

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