developer_uid: chai_backend_admin
submission_id: jellywibble-abandoned-h_94632_v1
model_name: jellywibble-abandoned-h_94632_v1
model_group: Jellywibble/Abandoned-ho
status: torndown
timestamp: 2025-03-11T05:36:46+00:00
num_battles: 9079
num_wins: 4817
celo_rating: 1294.75
family_friendly_score: 0.6046
family_friendly_standard_error: 0.006914605411735365
submission_type: basic
model_repo: Jellywibble/Abandoned-hospital-Horror-uouty
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 2
max_input_tokens: 1024
max_output_tokens: 96
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.2786400096267198, 'latency_mean': 3.5887757635116575, 'latency_p50': 3.587278127670288, 'latency_p90': 3.862992835044861}, {'batch_size': 2, 'throughput': 0.473965041639526, 'latency_mean': 4.2175096261501315, 'latency_p50': 4.226506233215332, 'latency_p90': 4.505722975730896}, {'batch_size': 3, 'throughput': 0.6496112615880153, 'latency_mean': 4.611487587690354, 'latency_p50': 4.613531947135925, 'latency_p90': 4.9032763004302975}, {'batch_size': 4, 'throughput': 0.7912955034499973, 'latency_mean': 5.029513561725617, 'latency_p50': 5.027703046798706, 'latency_p90': 5.374574995040893}, {'batch_size': 5, 'throughput': 0.904735417176467, 'latency_mean': 5.471244311332702, 'latency_p50': 5.497635722160339, 'latency_p90': 5.890363121032715}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-abandoned-h_94632_v1
ineligible_reason: max_output_tokens!=64
is_internal_developer: True
language_model: Jellywibble/Abandoned-hospital-Horror-uouty
model_size: 22B
ranking_group: single
throughput_3p7s: 0.32
us_pacific_date: 2025-03-10
win_ratio: 0.5305650402026655
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': ['You:', '\n', '####\n', '####', '</s>'], 'max_input_tokens': 1024, 'best_of': 2, 'max_output_tokens': 96}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
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 jellywibble-abandoned-h-94632-v1-mkmlizer
Waiting for job on jellywibble-abandoned-h-94632-v1-mkmlizer to finish
jellywibble-abandoned-h-94632-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ _____ __ __ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ /___/ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ Version: 0.12.8 ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ https://mk1.ai ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ belonging to: ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ Chai Research Corp. ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ║ ║
jellywibble-abandoned-h-94632-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-abandoned-h-94632-v1-mkmlizer: Downloaded to shared memory in 68.514s
jellywibble-abandoned-h-94632-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpazjl_hzc, device:0
jellywibble-abandoned-h-94632-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-abandoned-h-94632-v1-mkmlizer: quantized model in 44.440s
jellywibble-abandoned-h-94632-v1-mkmlizer: Processed model Jellywibble/Abandoned-hospital-Horror-uouty in 112.955s
jellywibble-abandoned-h-94632-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-abandoned-h-94632-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1
jellywibble-abandoned-h-94632-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1/config.json
jellywibble-abandoned-h-94632-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1/special_tokens_map.json
jellywibble-abandoned-h-94632-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1/tokenizer_config.json
jellywibble-abandoned-h-94632-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1/tokenizer.json
jellywibble-abandoned-h-94632-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1/flywheel_model.1.safetensors
jellywibble-abandoned-h-94632-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-abandoned-h-94632-v1/flywheel_model.0.safetensors
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Job jellywibble-abandoned-h-94632-v1-mkmlizer completed after 145.02s with status: succeeded
Stopping job with name jellywibble-abandoned-h-94632-v1-mkmlizer
Pipeline stage MKMLizer completed in 145.57s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service jellywibble-abandoned-h-94632-v1
Waiting for inference service jellywibble-abandoned-h-94632-v1 to be ready
Inference service jellywibble-abandoned-h-94632-v1 ready after 90.32286357879639s
Pipeline stage MKMLDeployer completed in 90.85s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.8620171546936035s
Received healthy response to inference request in 3.333775758743286s
Received healthy response to inference request in 3.285008430480957s
Received healthy response to inference request in 3.645329713821411s
Received healthy response to inference request in 3.237901210784912s
5 requests
0 failed requests
5th percentile: 3.247322654724121
10th percentile: 3.2567440986633303
20th percentile: 3.275586986541748
30th percentile: 3.294761896133423
40th percentile: 3.3142688274383545
50th percentile: 3.333775758743286
60th percentile: 3.4583973407745363
70th percentile: 3.583018922805786
80th percentile: 3.6886672019958495
90th percentile: 3.7753421783447267
95th percentile: 3.818679666519165
99th percentile: 3.853349657058716
mean time: 3.472806453704834
Pipeline stage StressChecker completed in 18.93s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.71s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.74s
Shutdown handler de-registered
jellywibble-abandoned-h_94632_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.11s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service jellywibble-abandoned-h-94632-v1-profiler
Waiting for inference service jellywibble-abandoned-h-94632-v1-profiler to be ready
Inference service jellywibble-abandoned-h-94632-v1-profiler ready after 90.35979199409485s
Pipeline stage MKMLProfilerDeployer completed in 90.75s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jellywibble-abandone4a0d7a3c122713e4dd11516e21f2b484-deplo2gpsf:/code/chaiverse_profiler_1741671794 --namespace tenant-chaiml-guanaco
kubectl exec -it jellywibble-abandone4a0d7a3c122713e4dd11516e21f2b484-deplo2gpsf --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1741671794 && python profiles.py profile --best_of_n 2 --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 1024 --output_tokens 96 --summary /code/chaiverse_profiler_1741671794/summary.json'
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2776.42s
Shutdown handler de-registered
jellywibble-abandoned-h_94632_v1 status is now inactive due to auto deactivation removed underperforming models
jellywibble-abandoned-h_94632_v1 status is now torndown due to DeploymentManager action