jellywibble-vampirekingd_7032

submission_id: jellywibble-vampirekingd_7032_v1
developer_uid: chai_backend_admin
best_of: 2
celo_rating: 1202.44
display_name: jellywibble-vampirekingd_7032_v1
family_friendly_score: 0.0
formatter: {'memory_template': '### Instruction:\n{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': 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': 128, 'reward_max_token_input': 256}
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: Jellywibble/VampireKingDedupVicEP5-1
max_input_tokens: 1500
max_output_tokens: 128
model_architecture: MistralForCausalLM
model_group: Jellywibble/VampireKingD
model_name: jellywibble-vampirekingd_7032_v1
model_num_parameters: 12772070400.0
model_repo: Jellywibble/VampireKingDedupVicEP5-1
model_size: 13B
num_battles: 13645
num_wins: 6368
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-08T04:26:16+00:00
us_pacific_date: 2024-08-07
win_ratio: 0.46669109563942834
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name jellywibble-vampirekingd-7032-v1-mkmlizer
Waiting for job on jellywibble-vampirekingd-7032-v1-mkmlizer to finish
jellywibble-vampirekingd-7032-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-vampirekingd-7032-v1-mkmlizer: ║     _____            __           __                                ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║       /___/                                                         ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  belonging to:                                                      ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ║                                                                     ║
jellywibble-vampirekingd-7032-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-vampirekingd-7032-v1-mkmlizer: Downloaded to shared memory in 49.198s
jellywibble-vampirekingd-7032-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp21hju9vf, device:0
jellywibble-vampirekingd-7032-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-vampirekingd-7032-v1-mkmlizer: quantized model in 36.844s
jellywibble-vampirekingd-7032-v1-mkmlizer: Processed model Jellywibble/VampireKingDedupVicEP5-1 in 86.042s
jellywibble-vampirekingd-7032-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-vampirekingd-7032-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-vampirekingd-7032-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-vampirekingd-7032-v1
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-vampirekingd-7032-v1/tokenizer_config.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-vampirekingd-7032-v1/tokenizer.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-vampirekingd-7032-v1/flywheel_model.0.safetensors
jellywibble-vampirekingd-7032-v1-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-vampirekingd-7032-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-7032-v1-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-vampirekingd-7032-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-7032-v1-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-vampirekingd-7032-v1-mkmlizer:   warnings.warn(
jellywibble-vampirekingd-7032-v1-mkmlizer: 
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jellywibble-vampirekingd-7032-v1-mkmlizer: 
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jellywibble-vampirekingd-7032-v1-mkmlizer: Saving duration: 1.317s
jellywibble-vampirekingd-7032-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.249s
jellywibble-vampirekingd-7032-v1-mkmlizer: creating bucket guanaco-reward-models
jellywibble-vampirekingd-7032-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
jellywibble-vampirekingd-7032-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/config.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/special_tokens_map.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/tokenizer_config.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/merges.txt
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/vocab.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/tokenizer.json
jellywibble-vampirekingd-7032-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/jellywibble-vampirekingd-7032-v1_reward/reward.tensors
Job jellywibble-vampirekingd-7032-v1-mkmlizer completed after 136.14s with status: succeeded
Stopping job with name jellywibble-vampirekingd-7032-v1-mkmlizer
Pipeline stage MKMLizer completed in 137.27s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service jellywibble-vampirekingd-7032-v1
Waiting for inference service jellywibble-vampirekingd-7032-v1 to be ready
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v3: ('http://zonemercy-cogent-nemo-v1-3266-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Failed to get response for submission zonemercy-cogent-nemo-v1_3266_v2: ('http://zonemercy-cogent-nemo-v1-3266-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'request timeout')
Inference service jellywibble-vampirekingd-7032-v1 ready after 191.13970017433167s
Pipeline stage ISVCDeployer completed in 193.32s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9616498947143555s
Received healthy response to inference request in 1.8755979537963867s
Received healthy response to inference request in 2.6966936588287354s
Received healthy response to inference request in 2.7034263610839844s
Received healthy response to inference request in 2.7515904903411865s
5 requests
0 failed requests
5th percentile: 2.0398170948028564
10th percentile: 2.204036235809326
20th percentile: 2.5324745178222656
30th percentile: 2.6980401992797853
40th percentile: 2.700733280181885
50th percentile: 2.7034263610839844
60th percentile: 2.7226920127868652
70th percentile: 2.741957664489746
80th percentile: 2.7936023712158202
90th percentile: 2.877626132965088
95th percentile: 2.9196380138397218
99th percentile: 2.953247518539429
mean time: 2.5977916717529297
Pipeline stage StressChecker completed in 13.87s
jellywibble-vampirekingd_7032_v1 status is now deployed due to DeploymentManager action
jellywibble-vampirekingd_7032_v1 status is now inactive due to auto deactivation removed underperforming models
jellywibble-vampirekingd_7032_v1 status is now torndown due to DeploymentManager action
admin requested tearing down of jellywibble-vampirekingd_7032_v1
Running pipeline stage ISVCDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage ISVCDeleter completed in 0.74s
Running pipeline stage MKMLModelDeleter
Pipeline stage %s skipped, reason=%s
Pipeline stage MKMLModelDeleter completed in 0.60s
jellywibble-vampirekingd_7032_v1 status is now torndown due to DeploymentManager action