riverise-model-trained-o_9186

submission_id: riverise-model-trained-o_9186_v1
developer_uid: Riverise
best_of: 16
celo_rating: 1228.62
display_name: riverise-model-trained-o_9186_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': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, '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/model_trained_on_sonnet_and_daily
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Riverise/model_trained_o
model_name: riverise-model-trained-o_9186_v1
model_num_parameters: 8030261248.0
model_repo: Riverise/model_trained_on_sonnet_and_daily
model_size: 8B
num_battles: 10654
num_wins: 5229
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-08-31T06:52:30+00:00
us_pacific_date: 2024-08-30
win_ratio: 0.4908015768725361
Resubmit model
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name riverise-model-trained-o-9186-v1-mkmlizer
Waiting for job on riverise-model-trained-o-9186-v1-mkmlizer to finish
riverise-model-trained-o-9186-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-model-trained-o-9186-v1-mkmlizer: ║     _____            __           __                                ║
riverise-model-trained-o-9186-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-model-trained-o-9186-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-model-trained-o-9186-v1-mkmlizer: ║       /___/                                                         ║
riverise-model-trained-o-9186-v1-mkmlizer: ║                                                                     ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-model-trained-o-9186-v1-mkmlizer: ║                                                                     ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-model-trained-o-9186-v1-mkmlizer: ║                                                                     ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-model-trained-o-9186-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-model-trained-o-9186-v1-mkmlizer: ║                                                                     ║
riverise-model-trained-o-9186-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-model-trained-o-9186-v1-mkmlizer: Downloaded to shared memory in 63.954s
riverise-model-trained-o-9186-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6sqka3cu, device:0
riverise-model-trained-o-9186-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-model-trained-o-9186-v1-mkmlizer: quantized model in 28.422s
riverise-model-trained-o-9186-v1-mkmlizer: Processed model Riverise/model_trained_on_sonnet_and_daily in 92.377s
riverise-model-trained-o-9186-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-model-trained-o-9186-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-model-trained-o-9186-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/config.json
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/special_tokens_map.json
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/tokenizer_config.json
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/tokenizer.json
riverise-model-trained-o-9186-v1-mkmlizer: 
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Job riverise-model-trained-o-9186-v1-mkmlizer completed after 115.73s with status: succeeded
Stopping job with name riverise-model-trained-o-9186-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.71s
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Creating inference service riverise-model-trained-o-9186-v1
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Inference service riverise-model-trained-o-9186-v1 ready after 180.936527967453s
Pipeline stage MKMLDeployer completed in 181.38s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.936561107635498s
Received healthy response to inference request in 1.5422403812408447s
Received healthy response to inference request in 1.890761137008667s
Received healthy response to inference request in 1.5885374546051025s
Received healthy response to inference request in 1.3397345542907715s
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mean time: 1.6595669269561768
Pipeline stage StressChecker completed in 9.22s
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riverise-model-trained-o_9186_v1 status is now deployed due to DeploymentManager action
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riverise-model-trained-o_9186_v1 status is now inactive due to auto deactivation removed underperforming models
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