rica40325-9-15-sftdpo

submission_id: rica40325-9-15-sftdpo_v5
developer_uid: rica40325
best_of: 16
celo_rating: 1266.93
display_name: rica40325-9-15-sftdpo_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': 0.95, 'min_p': 0.05, '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: rica40325/9-15-sftdpo
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rica40325/9-15-sftdpo
model_name: rica40325-9-15-sftdpo_v1
model_num_parameters: 8030261248.0
model_repo: rica40325/9-15-sftdpo
model_size: 8B
num_battles: 12478
num_wins: 6482
ranking_group: single
status: torndown
submission_type: basic
timestamp: 2024-09-16T18:34:44+00:00
us_pacific_date: 2024-09-16
win_ratio: 0.5194742747235134
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name rica40325-9-15-sftdpo-v5-mkmlizer
Waiting for job on rica40325-9-15-sftdpo-v5-mkmlizer to finish
Failed to get response for submission blend_gamub_2024-09-09: ('http://chaiml-llama-8b-pairwis-8189-v19-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:35420->127.0.0.1:8080: read: connection reset by peer\n')
rica40325-9-15-sftdpo-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-9-15-sftdpo-v5-mkmlizer: ║     _____            __           __                                ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║       /___/                                                         ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║                                                                     ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  Version: 0.10.1                                                    ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║                                                                     ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  belonging to:                                                      ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║                                                                     ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
rica40325-9-15-sftdpo-v5-mkmlizer: ║                                                                     ║
rica40325-9-15-sftdpo-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
rica40325-9-15-sftdpo-v5-mkmlizer: Downloaded to shared memory in 20.010s
rica40325-9-15-sftdpo-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7r7xynuz, device:0
rica40325-9-15-sftdpo-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-9-15-sftdpo-v5-mkmlizer: quantized model in 26.304s
rica40325-9-15-sftdpo-v5-mkmlizer: Processed model rica40325/9-15-sftdpo in 46.314s
rica40325-9-15-sftdpo-v5-mkmlizer: creating bucket guanaco-mkml-models
rica40325-9-15-sftdpo-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-9-15-sftdpo-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v5
rica40325-9-15-sftdpo-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v5/config.json
rica40325-9-15-sftdpo-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v5/special_tokens_map.json
rica40325-9-15-sftdpo-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v5/tokenizer_config.json
rica40325-9-15-sftdpo-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v5/tokenizer.json
rica40325-9-15-sftdpo-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-9-15-sftdpo-v5/flywheel_model.0.safetensors
rica40325-9-15-sftdpo-v5-mkmlizer: 
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Job rica40325-9-15-sftdpo-v5-mkmlizer completed after 74.21s with status: succeeded
Stopping job with name rica40325-9-15-sftdpo-v5-mkmlizer
Pipeline stage MKMLizer completed in 76.46s
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Creating inference service rica40325-9-15-sftdpo-v5
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Failed to get response for submission blend_talom_2024-09-14: ('http://zonemercy-lexical-nemo-1518-v18-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Inference service rica40325-9-15-sftdpo-v5 ready after 170.71809434890747s
Pipeline stage MKMLDeployer completed in 172.00s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.188253402709961s
Received healthy response to inference request in 2.6513302326202393s
Received healthy response to inference request in 2.014554977416992s
Received healthy response to inference request in 1.4353783130645752s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 2.8796536922454834s
5 requests
0 failed requests
5th percentile: 1.5512136459350585
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90th percentile: 2.788324308395386
95th percentile: 2.8339890003204347
99th percentile: 2.8705207538604736
mean time: 2.2338341236114503
Pipeline stage StressChecker completed in 19.58s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 7.95s
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rica40325-9-15-sftdpo_v5 status is now deployed due to DeploymentManager action
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Inference service rica40325-9-15-sftdpo-v5-profiler ready after 170.40017008781433s
Pipeline stage MKMLProfilerDeployer completed in 170.77s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h:/code/chaiverse_profiler_1726512177 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726512177 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726512177/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726512177/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h:/code/chaiverse_profiler_1726512586 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726512586 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726512586/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726512586/summary.json'
%s, retrying in %s seconds...
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h:/code/chaiverse_profiler_1726512687 --namespace tenant-chaiml-guanaco
kubectl exec -it rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726512687 && python profiles.py profile --best_of_n 16 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 512 --output_tokens 64 --summary /code/chaiverse_profiler_1726512687/summary.json'
kubectl exec -it rica40325-9-15-sftdpo-v5-profiler-predictor-00001-deployme9d45h --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726512687/summary.json'
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Checking if service rica40325-9-15-sftdpo-v5-profiler is running
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Service rica40325-9-15-sftdpo-v5-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 6.09s
Shutdown handler de-registered
rica40325-9-15-sftdpo_v5 status is now inactive due to auto deactivation removed underperforming models
rica40325-9-15-sftdpo_v5 status is now torndown due to DeploymentManager action