riverise-3000s-dpo-second

submission_id: riverise-3000s-dpo-second_v2
developer_uid: Riverise
best_of: 16
celo_rating: 1245.24
display_name: riverise-3000s-dpo-second_v2
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': 1.15, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, '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/3000s-dpo-second
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Riverise/3000s-dpo-secon
model_name: riverise-3000s-dpo-second_v2
model_num_parameters: 8030261248.0
model_repo: Riverise/3000s-dpo-second
model_size: 8B
num_battles: 12075
num_wins: 6269
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-09-01T08:19:33+00:00
us_pacific_date: 2024-09-01
win_ratio: 0.5191718426501035
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name riverise-3000s-dpo-second-v2-mkmlizer
Waiting for job on riverise-3000s-dpo-second-v2-mkmlizer to finish
Stopping job with name riverise-3000s-dpo-second-v2-mkmlizer
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Starting job with name riverise-3000s-dpo-second-v2-mkmlizer
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riverise-3000s-dpo-second-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-3000s-dpo-second-v2-mkmlizer: ║     _____            __           __                                ║
riverise-3000s-dpo-second-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-3000s-dpo-second-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-3000s-dpo-second-v2-mkmlizer: ║       /___/                                                         ║
riverise-3000s-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-3000s-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  belonging to:                                                      ║
riverise-3000s-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-3000s-dpo-second-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-3000s-dpo-second-v2-mkmlizer: ║                                                                     ║
riverise-3000s-dpo-second-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-3000s-dpo-second-v2-mkmlizer: quantized model in 28.151s
riverise-3000s-dpo-second-v2-mkmlizer: Processed model Riverise/3000s-dpo-second in 86.142s
riverise-3000s-dpo-second-v2-mkmlizer: creating bucket guanaco-mkml-models
riverise-3000s-dpo-second-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-3000s-dpo-second-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-3000s-dpo-second-v2
riverise-3000s-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-3000s-dpo-second-v2/config.json
riverise-3000s-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-3000s-dpo-second-v2/special_tokens_map.json
riverise-3000s-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-3000s-dpo-second-v2/tokenizer_config.json
riverise-3000s-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-3000s-dpo-second-v2/tokenizer.json
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riverise-3000s-dpo-second-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-3000s-dpo-second-v2/flywheel_model.0.safetensors
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Job riverise-3000s-dpo-second-v2-mkmlizer completed after 105.93s with status: succeeded
Stopping job with name riverise-3000s-dpo-second-v2-mkmlizer
Pipeline stage MKMLizer completed in 109.84s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service riverise-3000s-dpo-second-v2
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Inference service riverise-3000s-dpo-second-v2 ready after 191.01050686836243s
Pipeline stage MKMLDeployer completed in 191.37s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.8474361896514893s
Received healthy response to inference request in 1.5942604541778564s
Received healthy response to inference request in 1.72800874710083s
Received healthy response to inference request in 2.5304665565490723s
Received healthy response to inference request in 1.6801016330718994s
5 requests
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mean time: 1.8760547161102294
Pipeline stage StressChecker completed in 10.85s
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riverise-3000s-dpo-second_v2 status is now deployed due to DeploymentManager action
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