developer_uid: chai_backend_admin
submission_id: jellywibble-tyler-park-_48814_v2
model_name: jellywibble-tyler-park-_48814_v2
model_group: Jellywibble/Tyler-Park-T
status: torndown
timestamp: 2025-04-08T17:22:44+00:00
num_battles: 10678
num_wins: 5347
celo_rating: 1281.8
family_friendly_score: 0.47619999999999996
family_friendly_standard_error: 0.0070630525978503085
submission_type: basic
model_repo: Jellywibble/Tyler-Park-The-EX250408173515
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3726747335785252, 'latency_mean': 2.6832170403003692, 'latency_p50': 2.67937695980072, 'latency_p90': 2.9796353578567505}, {'batch_size': 2, 'throughput': 0.5829722598065055, 'latency_mean': 3.4265213298797605, 'latency_p50': 3.4022430181503296, 'latency_p90': 3.788607668876648}, {'batch_size': 3, 'throughput': 0.7311558345173682, 'latency_mean': 4.088061317205429, 'latency_p50': 4.096364974975586, 'latency_p90': 4.569507169723511}, {'batch_size': 4, 'throughput': 0.8614478250013308, 'latency_mean': 4.624286742210388, 'latency_p50': 4.602311730384827, 'latency_p90': 5.1740529298782345}, {'batch_size': 5, 'throughput': 0.9356991818632112, 'latency_mean': 5.320872231721878, 'latency_p50': 5.323769211769104, 'latency_p90': 5.875860261917114}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: jellywibble-tyler-park-_48814_v2
is_internal_developer: True
language_model: Jellywibble/Tyler-Park-The-EX250408173515
model_size: 24B
ranking_group: single
throughput_3p7s: 0.65
us_pacific_date: 2025-04-08
win_ratio: 0.500749203970781
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': ['</s>', 'You:', '####\n', '\n', '####'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': 'You: {message}\n', 'response_template': '{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-park-48814-v2-mkmlizer
Waiting for job on jellywibble-tyler-park-48814-v2-mkmlizer to finish
jellywibble-tyler-park-48814-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-tyler-park-48814-v2-mkmlizer: ║ _____ __ __ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ /___/ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ Version: 0.12.8 ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ https://mk1.ai ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ The license key for the current software has been verified as ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ belonging to: ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ Chai Research Corp. ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
jellywibble-tyler-park-48814-v2-mkmlizer: ║ ║
jellywibble-tyler-park-48814-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-tyler-park-48814-v2-mkmlizer: Downloaded to shared memory in 78.383s
jellywibble-tyler-park-48814-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5s37c5qk, device:0
jellywibble-tyler-park-48814-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-tyler-park-48814-v2-mkmlizer: quantized model in 52.895s
jellywibble-tyler-park-48814-v2-mkmlizer: Processed model Jellywibble/Tyler-Park-The-EX250408173515 in 131.279s
jellywibble-tyler-park-48814-v2-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-tyler-park-48814-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-tyler-park-48814-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2
jellywibble-tyler-park-48814-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2/config.json
jellywibble-tyler-park-48814-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2/special_tokens_map.json
jellywibble-tyler-park-48814-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2/tokenizer_config.json
jellywibble-tyler-park-48814-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2/tokenizer.json
jellywibble-tyler-park-48814-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2/flywheel_model.1.safetensors
jellywibble-tyler-park-48814-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-tyler-park-48814-v2/flywheel_model.0.safetensors
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Job jellywibble-tyler-park-48814-v2-mkmlizer completed after 165.97s with status: succeeded
Stopping job with name jellywibble-tyler-park-48814-v2-mkmlizer
Pipeline stage MKMLizer completed in 166.56s
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Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service jellywibble-tyler-park-48814-v2
Waiting for inference service jellywibble-tyler-park-48814-v2 to be ready
Inference service jellywibble-tyler-park-48814-v2 ready after 110.40331244468689s
Pipeline stage MKMLDeployer completed in 110.95s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.216862201690674s
Received healthy response to inference request in 2.6455678939819336s
Received healthy response to inference request in 2.8182055950164795s
Received healthy response to inference request in 2.387935161590576s
Received healthy response to inference request in 2.9645497798919678s
5 requests
0 failed requests
5th percentile: 2.4394617080688477
10th percentile: 2.490988254547119
20th percentile: 2.594041347503662
30th percentile: 2.6800954341888428
40th percentile: 2.749150514602661
50th percentile: 2.8182055950164795
60th percentile: 2.876743268966675
70th percentile: 2.93528094291687
80th percentile: 3.015012264251709
90th percentile: 3.1159372329711914
95th percentile: 3.1663997173309326
99th percentile: 3.2067697048187256
mean time: 2.8066241264343263
Pipeline stage StressChecker completed in 15.29s
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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 0.61s
Shutdown handler de-registered
jellywibble-tyler-park-_48814_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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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 5096.51s
Shutdown handler de-registered
jellywibble-tyler-park-_48814_v2 status is now inactive due to auto deactivation removed underperforming models
jellywibble-tyler-park-_48814_v2 status is now torndown due to DeploymentManager action
jellywibble-tyler-park-_48814_v2 status is now torndown due to DeploymentManager action