developer_uid: Riverise
submission_id: riverise-feedback-dpo-merged_v4
model_name: riverise-feedback-dpo-merged_v1
model_group: Riverise/feedback_dpo_me
status: torndown
timestamp: 2024-09-07T14:10:58+00:00
num_battles: 14951
num_wins: 2299
celo_rating: 944.17
family_friendly_score: 0.0
submission_type: basic
model_repo: Riverise/feedback_dpo_merged
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 1
max_input_tokens: 512
max_output_tokens: 64
display_name: riverise-feedback-dpo-merged_v1
is_internal_developer: False
language_model: Riverise/feedback_dpo_merged
model_size: 8B
ranking_group: single
us_pacific_date: 2024-09-07
win_ratio: 0.15376897866363454
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': 1, 'max_output_tokens': 64}
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}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name riverise-feedback-dpo-merged-v4-mkmlizer
Waiting for job on riverise-feedback-dpo-merged-v4-mkmlizer to finish
riverise-feedback-dpo-merged-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-feedback-dpo-merged-v4-mkmlizer: ║ _____ __ __ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ /___/ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ Version: 0.10.1 ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ https://mk1.ai ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ belonging to: ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ Chai Research Corp. ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
riverise-feedback-dpo-merged-v4-mkmlizer: ║ ║
riverise-feedback-dpo-merged-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-feedback-dpo-merged-v4-mkmlizer: Downloaded to shared memory in 60.913s
riverise-feedback-dpo-merged-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpes7dhti5, device:0
riverise-feedback-dpo-merged-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-feedback-dpo-merged-v4-mkmlizer: quantized model in 28.457s
riverise-feedback-dpo-merged-v4-mkmlizer: Processed model Riverise/feedback_dpo_merged in 89.371s
riverise-feedback-dpo-merged-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-feedback-dpo-merged-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v4
riverise-feedback-dpo-merged-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v4/config.json
riverise-feedback-dpo-merged-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v4/tokenizer_config.json
riverise-feedback-dpo-merged-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v4/special_tokens_map.json
riverise-feedback-dpo-merged-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v4/tokenizer.json
riverise-feedback-dpo-merged-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-feedback-dpo-merged-v4/flywheel_model.0.safetensors
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Job riverise-feedback-dpo-merged-v4-mkmlizer completed after 106.72s with status: succeeded
Stopping job with name riverise-feedback-dpo-merged-v4-mkmlizer
Pipeline stage MKMLizer completed in 107.71s
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Pipeline stage MKMLTemplater completed in 0.09s
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Running pipeline stage MKMLDeployer
Creating inference service riverise-feedback-dpo-merged-v4
Waiting for inference service riverise-feedback-dpo-merged-v4 to be ready
Failed to get response for submission blend_sehof_2024-08-22: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:54488->127.0.0.1:8080: read: connection reset by peer\n')
Failed to get response for submission blend_jerun_2024-08-22: ('http://chaiml-lexical-nemo-v4-1k1e5-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:51492->127.0.0.1:8080: read: connection reset by peer\n')
Inference service riverise-feedback-dpo-merged-v4 ready after 291.36574482917786s
Pipeline stage MKMLDeployer completed in 291.77s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7004420757293701s
Received healthy response to inference request in 0.9910845756530762s
Received healthy response to inference request in 0.4761941432952881s
Received healthy response to inference request in 0.39516711235046387s
Received healthy response to inference request in 0.41515636444091797s
5 requests
0 failed requests
5th percentile: 0.3991649627685547
10th percentile: 0.4031628131866455
20th percentile: 0.41115851402282716
30th percentile: 0.427363920211792
40th percentile: 0.45177903175354006
50th percentile: 0.4761941432952881
60th percentile: 0.6821503162384033
70th percentile: 0.8881064891815185
80th percentile: 1.132956075668335
90th percentile: 1.4166990756988527
95th percentile: 1.5585705757141113
99th percentile: 1.6720677757263183
mean time: 0.7956088542938232
Pipeline stage StressChecker completed in 4.67s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 4.84s
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riverise-feedback-dpo-merged_v4 status is now torndown due to DeploymentManager action