riverise-dpo-second

submission_id: riverise-dpo-second_v2
developer_uid: Riverise
best_of: 16
celo_rating: 1239.1
display_name: riverise-dpo-second_v1
family_friendly_score: 0.0
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}
generation_params: {'temperature': 0.9, 'top_p': 0.8, 'min_p': 0.2, 'top_k': 30, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Riverise/dpo-second
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Riverise/dpo-second
model_name: riverise-dpo-second_v1
model_num_parameters: 8030261248.0
model_repo: Riverise/dpo-second
model_size: 8B
num_battles: 11103
num_wins: 5667
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-09-01T07:58:59+00:00
us_pacific_date: 2024-09-01
win_ratio: 0.5104025938935423
Resubmit model
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name riverise-dpo-second-v2-mkmlizer
Waiting for job on riverise-dpo-second-v2-mkmlizer to finish
Stopping job with name riverise-dpo-second-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name riverise-dpo-second-v2-mkmlizer
Waiting for job on riverise-dpo-second-v2-mkmlizer to finish
riverise-dpo-second-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-dpo-second-v2-mkmlizer: ║     _____            __           __                                ║
riverise-dpo-second-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-dpo-second-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-dpo-second-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-dpo-second-v2-mkmlizer: ║       /___/                                                         ║
riverise-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-dpo-second-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-dpo-second-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-dpo-second-v2-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-dpo-second-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-dpo-second-v2-mkmlizer: ║  belonging to:                                                      ║
riverise-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-dpo-second-v2-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-dpo-second-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-dpo-second-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-dpo-second-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-dpo-second-v2-mkmlizer: Downloaded to shared memory in 47.239s
riverise-dpo-second-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp43k_tyos, device:0
riverise-dpo-second-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-dpo-second-v2-mkmlizer: quantized model in 28.716s
riverise-dpo-second-v2-mkmlizer: Processed model Riverise/dpo-second in 75.956s
riverise-dpo-second-v2-mkmlizer: creating bucket guanaco-mkml-models
riverise-dpo-second-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-dpo-second-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-dpo-second-v2
riverise-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-dpo-second-v2/config.json
riverise-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-dpo-second-v2/tokenizer_config.json
riverise-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-dpo-second-v2/tokenizer.json
riverise-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-dpo-second-v2/flywheel_model.0.safetensors
riverise-dpo-second-v2-mkmlizer: 
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Job riverise-dpo-second-v2-mkmlizer completed after 94.96s with status: succeeded
Stopping job with name riverise-dpo-second-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.73s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.11s
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Running pipeline stage MKMLDeployer
Creating inference service riverise-dpo-second-v2
Waiting for inference service riverise-dpo-second-v2 to be ready
Inference service riverise-dpo-second-v2 ready after 190.42451357841492s
Pipeline stage MKMLDeployer completed in 190.71s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.914672613143921s
Received healthy response to inference request in 2.0294547080993652s
Received healthy response to inference request in 2.277837038040161s
Received healthy response to inference request in 1.7501881122589111s
Received healthy response to inference request in 1.953500509262085s
5 requests
0 failed requests
5th percentile: 1.783085012435913
10th percentile: 1.815981912612915
20th percentile: 1.881775712966919
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70th percentile: 2.014263868331909
80th percentile: 2.0791311740875242
90th percentile: 2.1784841060638427
95th percentile: 2.228160572052002
99th percentile: 2.267901744842529
mean time: 1.9851305961608887
Pipeline stage StressChecker completed in 10.63s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.82s
riverise-dpo-second_v2 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.13s
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Creating inference service riverise-dpo-second-v2-profiler
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Inference service riverise-dpo-second-v2-profiler ready after 180.42436575889587s
Pipeline stage MKMLProfilerDeployer completed in 180.80s
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Service riverise-dpo-second-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.08s
riverise-dpo-second_v2 status is now inactive due to auto deactivation removed underperforming models
riverise-dpo-second_v2 status is now torndown due to DeploymentManager action