developer_uid: chai_backend_admin
submission_id: jellywibble-tyler-james_85172_v1
model_name: jellywibble-tyler-james_85172_v1
model_group: Jellywibble/Tyler-James-
status: torndown
timestamp: 2025-03-23T12:06:29+00:00
num_battles: 8061
num_wins: 3762
celo_rating: 1254.57
family_friendly_score: 0.5514
family_friendly_standard_error: 0.007033605618742069
submission_type: basic
model_repo: Jellywibble/Tyler-James-Park-Detective-Park_Tyler-250323094207
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.37569649655249193, 'latency_mean': 2.6616393792629243, 'latency_p50': 2.6709402799606323, 'latency_p90': 2.935484504699707}, {'batch_size': 2, 'throughput': 0.587122526921153, 'latency_mean': 3.4046818125247955, 'latency_p50': 3.3785282373428345, 'latency_p90': 3.7266982793807983}, {'batch_size': 3, 'throughput': 0.7413852575271168, 'latency_mean': 4.044849956035614, 'latency_p50': 4.025776743888855, 'latency_p90': 4.455564570426941}, {'batch_size': 4, 'throughput': 0.8573411941039544, 'latency_mean': 4.654443466663361, 'latency_p50': 4.656165719032288, 'latency_p90': 5.17293062210083}, {'batch_size': 5, 'throughput': 0.9371792582012151, 'latency_mean': 5.318544256687164, 'latency_p50': 5.333124756813049, 'latency_p90': 5.871804785728455}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-tyler-james_85172_v1
is_internal_developer: True
language_model: Jellywibble/Tyler-James-Park-Detective-Park_Tyler-250323094207
model_size: 22B
ranking_group: single
throughput_3p7s: 0.67
us_pacific_date: 2025-03-23
win_ratio: 0.4666914774841831
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', '####', '</s>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
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-tyler-james-85172-v1-mkmlizer
Waiting for job on jellywibble-tyler-james-85172-v1-mkmlizer to finish
jellywibble-tyler-james-85172-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-tyler-james-85172-v1-mkmlizer: ║ _____ __ __ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ /___/ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ Version: 0.12.8 ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ https://mk1.ai ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ belonging to: ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ Chai Research Corp. ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
jellywibble-tyler-james-85172-v1-mkmlizer: ║ ║
jellywibble-tyler-james-85172-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-tyler-james-85172-v1-mkmlizer: Downloaded to shared memory in 72.123s
jellywibble-tyler-james-85172-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpf7e_hymy, device:0
jellywibble-tyler-james-85172-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-tyler-james-85172-v1-mkmlizer: quantized model in 43.108s
jellywibble-tyler-james-85172-v1-mkmlizer: Processed model Jellywibble/Tyler-James-Park-Detective-Park_Tyler-250323094207 in 115.232s
jellywibble-tyler-james-85172-v1-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-tyler-james-85172-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-tyler-james-85172-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1
jellywibble-tyler-james-85172-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1/config.json
jellywibble-tyler-james-85172-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1/special_tokens_map.json
jellywibble-tyler-james-85172-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1/tokenizer_config.json
jellywibble-tyler-james-85172-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1/tokenizer.json
jellywibble-tyler-james-85172-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1/flywheel_model.1.safetensors
jellywibble-tyler-james-85172-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-tyler-james-85172-v1/flywheel_model.0.safetensors
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Job jellywibble-tyler-james-85172-v1-mkmlizer completed after 155.72s with status: succeeded
Stopping job with name jellywibble-tyler-james-85172-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.32s
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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-tyler-james-85172-v1
Waiting for inference service jellywibble-tyler-james-85172-v1 to be ready
Inference service jellywibble-tyler-james-85172-v1 ready after 90.52102184295654s
Pipeline stage MKMLDeployer completed in 91.11s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.943694829940796s
Received healthy response to inference request in 2.4698760509490967s
Received healthy response to inference request in 2.4204087257385254s
Received healthy response to inference request in 2.4038748741149902s
Received healthy response to inference request in 2.3845608234405518s
5 requests
0 failed requests
5th percentile: 2.3884236335754396
10th percentile: 2.392286443710327
20th percentile: 2.4000120639801024
30th percentile: 2.407181644439697
40th percentile: 2.4137951850891115
50th percentile: 2.4204087257385254
60th percentile: 2.440195655822754
70th percentile: 2.4599825859069826
80th percentile: 2.5646398067474365
90th percentile: 2.754167318344116
95th percentile: 2.848931074142456
99th percentile: 2.924742078781128
mean time: 2.524483060836792
Pipeline stage StressChecker completed in 14.04s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.71s
Shutdown handler de-registered
jellywibble-tyler-james_85172_v1 status is now deployed due to DeploymentManager action
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5404.56s
Shutdown handler de-registered
jellywibble-tyler-james_85172_v1 status is now inactive due to auto deactivation removed underperforming models
jellywibble-tyler-james_85172_v1 status is now torndown due to DeploymentManager action