developer_uid: rirv938
submission_id: rirv938-94p-6ff-rirv938_15029_v1
model_name: rirv938-94p-6ff-rirv938_15029_v1
model_group: rirv938/94p_6ff_rirv938_
status: torndown
timestamp: 2025-04-21T23:16:11+00:00
num_battles: 6333
num_wins: 3279
celo_rating: 1305.07
family_friendly_score: 0.5706
family_friendly_standard_error: 0.007000223425005805
submission_type: basic
model_repo: rirv938/94p_6ff_rirv938_1000_sim_100p_0_17599_v1_cp1060_merged
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': 0.5290281150558808, 'latency_mean': 1.8901908338069915, 'latency_p50': 1.909204125404358, 'latency_p90': 2.090021252632141}, {'batch_size': 3, 'throughput': 1.094182461905974, 'latency_mean': 2.7358967304229735, 'latency_p50': 2.742341995239258, 'latency_p90': 3.0180838108062744}, {'batch_size': 5, 'throughput': 1.3980948671445728, 'latency_mean': 3.5526575911045075, 'latency_p50': 3.537572145462036, 'latency_p90': 4.002266478538513}, {'batch_size': 6, 'throughput': 1.513693014438991, 'latency_mean': 3.9306860256195066, 'latency_p50': 3.9413440227508545, 'latency_p90': 4.435428881645203}, {'batch_size': 8, 'throughput': 1.6608267797927938, 'latency_mean': 4.773853847980499, 'latency_p50': 4.807283520698547, 'latency_p90': 5.320009183883667}, {'batch_size': 10, 'throughput': 1.7586470599307125, 'latency_mean': 5.651315997838974, 'latency_p50': 5.672345280647278, 'latency_p90': 6.4101193904876705}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: rirv938-94p-6ff-rirv938_15029_v1
is_internal_developer: True
language_model: rirv938/94p_6ff_rirv938_1000_sim_100p_0_17599_v1_cp1060_merged
model_size: 24B
ranking_group: single
throughput_3p7s: 1.46
us_pacific_date: 2025-04-21
win_ratio: 0.517764092846992
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '###', 'You:', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name rirv938-94p-6ff-rirv938-15029-v1-mkmlizer
Waiting for job on rirv938-94p-6ff-rirv938-15029-v1-mkmlizer to finish
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║       /___/                                                         ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║                                                                     ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║                                                                     ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║                                                                     ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ║                                                                     ║
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: Downloaded to shared memory in 172.897s
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptsomw6u4, device:0
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: quantized model in 70.407s
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: Processed model rirv938/94p_6ff_rirv938_1000_sim_100p_0_17599_v1_cp1060_merged in 243.305s
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1/config.json
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1/special_tokens_map.json
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1/tokenizer_config.json
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1/tokenizer.json
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1/flywheel_model.1.safetensors
rirv938-94p-6ff-rirv938-15029-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-94p-6ff-rirv938-15029-v1/flywheel_model.0.safetensors
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Job rirv938-94p-6ff-rirv938-15029-v1-mkmlizer completed after 289.03s with status: succeeded
Stopping job with name rirv938-94p-6ff-rirv938-15029-v1-mkmlizer
Pipeline stage MKMLizer completed in 289.49s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-94p-6ff-rirv938-15029-v1
Waiting for inference service rirv938-94p-6ff-rirv938-15029-v1 to be ready
Inference service rirv938-94p-6ff-rirv938-15029-v1 ready after 120.52175283432007s
Pipeline stage MKMLDeployer completed in 121.03s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.51643443107605s
Received healthy response to inference request in 1.782184362411499s
Received healthy response to inference request in 2.1985456943511963s
Received healthy response to inference request in 1.9970824718475342s
Received healthy response to inference request in 2.038145065307617s
5 requests
0 failed requests
5th percentile: 1.825163984298706
10th percentile: 1.8681436061859131
20th percentile: 1.9541028499603272
30th percentile: 2.005294990539551
40th percentile: 2.021720027923584
50th percentile: 2.038145065307617
60th percentile: 2.1023053169250487
70th percentile: 2.1664655685424803
80th percentile: 2.262123441696167
90th percentile: 2.389278936386108
95th percentile: 2.452856683731079
99th percentile: 2.5037188816070555
mean time: 2.1064784049987795
Pipeline stage StressChecker completed in 11.69s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.64s
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Running pipeline stage TriggerMKMLProfilingPipeline
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triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.60s
Shutdown handler de-registered
rirv938-94p-6ff-rirv938_15029_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 0.12s
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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 rirv938-94p-6ff-rirv938-15029-v1-profiler
Waiting for inference service rirv938-94p-6ff-rirv938-15029-v1-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2837.34s
Shutdown handler de-registered
rirv938-94p-6ff-rirv938_15029_v1 status is now inactive due to auto deactivation removed underperforming models
rirv938-94p-6ff-rirv938_15029_v1 status is now torndown due to DeploymentManager action