developer_uid: rirv938
submission_id: rirv938-98p-2ff-rirv938_80130_v1
model_name: rirv938-98p-2ff-rirv938_80130_v1
model_group: rirv938/98p_2ff_rirv938_
status: inactive
timestamp: 2025-03-30T05:03:14+00:00
num_battles: 7606
num_wins: 4211
celo_rating: 1329.53
family_friendly_score: 0.48240000000000005
family_friendly_standard_error: 0.007066685786137657
submission_type: basic
model_repo: rirv938/98p_2ff_rirv938_98p_2ff_rirv938_42155_v1_cp312_v3
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.38809453945651284, 'latency_mean': 2.576593290567398, 'latency_p50': 2.5617610216140747, 'latency_p90': 2.8789982557296754}, {'batch_size': 3, 'throughput': 0.8031268959429169, 'latency_mean': 3.722330303192139, 'latency_p50': 3.6725298166275024, 'latency_p90': 4.152003765106201}, {'batch_size': 5, 'throughput': 1.050917946999234, 'latency_mean': 4.725679816007614, 'latency_p50': 4.751906991004944, 'latency_p90': 5.206885313987732}, {'batch_size': 6, 'throughput': 1.1349571273012626, 'latency_mean': 5.230357378721237, 'latency_p50': 5.226823568344116, 'latency_p90': 5.794281625747681}, {'batch_size': 10, 'throughput': 1.3044613432651357, 'latency_mean': 7.5990017592906955, 'latency_p50': 7.587497353553772, 'latency_p90': 8.548865461349488}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: rirv938-98p-2ff-rirv938_80130_v1
is_internal_developer: True
language_model: rirv938/98p_2ff_rirv938_98p_2ff_rirv938_42155_v1_cp312_v3
model_size: 24B
ranking_group: single
throughput_3p7s: 0.8
us_pacific_date: 2025-03-29
win_ratio: 0.5536418616881409
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.6, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '###', 'You:'], 'max_input_tokens': 768, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST]', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '[/INST]{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 rirv938-98p-2ff-rirv938-80130-v1-mkmlizer
Waiting for job on rirv938-98p-2ff-rirv938-80130-v1-mkmlizer to finish
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║       /___/                                                         ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║                                                                     ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║                                                                     ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║                                                                     ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ║                                                                     ║
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: Downloaded to shared memory in 178.106s
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxzumku92, device:0
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: quantized model in 65.128s
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: Processed model rirv938/98p_2ff_rirv938_98p_2ff_rirv938_42155_v1_cp312_v3 in 243.250s
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1/config.json
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1/special_tokens_map.json
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1/tokenizer_config.json
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1/tokenizer.json
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1/flywheel_model.1.safetensors
rirv938-98p-2ff-rirv938-80130-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-98p-2ff-rirv938-80130-v1/flywheel_model.0.safetensors
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Job rirv938-98p-2ff-rirv938-80130-v1-mkmlizer completed after 278.26s with status: succeeded
Stopping job with name rirv938-98p-2ff-rirv938-80130-v1-mkmlizer
Pipeline stage MKMLizer completed in 278.70s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-98p-2ff-rirv938-80130-v1
Waiting for inference service rirv938-98p-2ff-rirv938-80130-v1 to be ready
Inference service rirv938-98p-2ff-rirv938-80130-v1 ready after 120.42875123023987s
Pipeline stage MKMLDeployer completed in 120.93s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.304419994354248s
Received healthy response to inference request in 2.57446026802063s
Received healthy response to inference request in 2.571209669113159s
Received healthy response to inference request in 2.74497652053833s
Received healthy response to inference request in 2.6147847175598145s
5 requests
0 failed requests
5th percentile: 2.5718597888946535
10th percentile: 2.5725099086761474
20th percentile: 2.5738101482391356
30th percentile: 2.5825251579284667
40th percentile: 2.598654937744141
50th percentile: 2.6147847175598145
60th percentile: 2.6668614387512206
70th percentile: 2.7189381599426268
80th percentile: 2.856865215301514
90th percentile: 3.0806426048278808
95th percentile: 3.192531299591064
99th percentile: 3.282042255401611
mean time: 2.7619702339172365
Pipeline stage StressChecker completed in 15.44s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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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 0.67s
Shutdown handler de-registered
rirv938-98p-2ff-rirv938_80130_v1 status is now deployed due to DeploymentManager action
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run pipeline stage %s
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 5546.45s
Shutdown handler de-registered
rirv938-98p-2ff-rirv938_80130_v1 status is now inactive due to auto deactivation removed underperforming models
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