developer_uid: rica40325
submission_id: rica40325-filter65k-v6-200_v3
model_name: rica40325-filter65k-v6-200_v2
model_group: rica40325/filter65k-v6-2
status: torndown
timestamp: 2025-06-21T02:45:25+00:00
num_battles: 7507
num_wins: 3689
celo_rating: 1266.6
family_friendly_score: 0.5146
family_friendly_standard_error: 0.007068052631382989
submission_type: basic
model_repo: rica40325/filter65k-v6-200
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5902767587832899, 'latency_mean': 1.6940179002285003, 'latency_p50': 1.6977574825286865, 'latency_p90': 1.868157958984375}, {'batch_size': 3, 'throughput': 1.0602478162787814, 'latency_mean': 2.8168677067756653, 'latency_p50': 2.8136755228042603, 'latency_p90': 3.110414218902588}, {'batch_size': 5, 'throughput': 1.2772777900162005, 'latency_mean': 3.892599461078644, 'latency_p50': 3.9124271869659424, 'latency_p90': 4.380072355270386}, {'batch_size': 6, 'throughput': 1.3365326258462105, 'latency_mean': 4.464754843711853, 'latency_p50': 4.47121000289917, 'latency_p90': 5.001046347618103}, {'batch_size': 8, 'throughput': 1.3925025424567912, 'latency_mean': 5.718393032550812, 'latency_p50': 5.711672306060791, 'latency_p90': 6.342767548561096}, {'batch_size': 10, 'throughput': 1.4191331275360493, 'latency_mean': 6.993317209482193, 'latency_p50': 6.9770026206970215, 'latency_p90': 7.934454464912415}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-filter65k-v6-200_v2
is_internal_developer: False
language_model: rica40325/filter65k-v6-200
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-06-20
win_ratio: 0.4914080191820967
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': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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 rica40325-filter65k-v6-200-v3-mkmlizer
Waiting for job on rica40325-filter65k-v6-200-v3-mkmlizer to finish
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rica40325-filter65k-v6-200-v3-mkmlizer: ║                                                                     ║
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rica40325-filter65k-v6-200-v3-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  Version: 0.29.3                                                    ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  belonging to:                                                      ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-filter65k-v6-200-v3-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-200-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filter65k-v6-200-v3-mkmlizer: Downloaded to shared memory in 28.629s
rica40325-filter65k-v6-200-v3-mkmlizer: Checking if rica40325/filter65k-v6-200 already exists in ChaiML
rica40325-filter65k-v6-200-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo2akzium, device:0
rica40325-filter65k-v6-200-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filter65k-v6-200-v3-mkmlizer: quantized model in 31.953s
rica40325-filter65k-v6-200-v3-mkmlizer: Processed model rica40325/filter65k-v6-200 in 60.660s
rica40325-filter65k-v6-200-v3-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filter65k-v6-200-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filter65k-v6-200-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filter65k-v6-200-v3
rica40325-filter65k-v6-200-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-filter65k-v6-200-v3/config.json
rica40325-filter65k-v6-200-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-filter65k-v6-200-v3/special_tokens_map.json
rica40325-filter65k-v6-200-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filter65k-v6-200-v3/tokenizer_config.json
rica40325-filter65k-v6-200-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filter65k-v6-200-v3/tokenizer.json
rica40325-filter65k-v6-200-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filter65k-v6-200-v3/flywheel_model.0.safetensors
rica40325-filter65k-v6-200-v3-mkmlizer: 
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Job rica40325-filter65k-v6-200-v3-mkmlizer completed after 104.52s with status: succeeded
Stopping job with name rica40325-filter65k-v6-200-v3-mkmlizer
Pipeline stage MKMLizer completed in 105.03s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service rica40325-filter65k-v6-200-v3
Waiting for inference service rica40325-filter65k-v6-200-v3 to be ready
Inference service rica40325-filter65k-v6-200-v3 ready after 120.42044353485107s
Pipeline stage MKMLDeployer completed in 120.97s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.590311050415039s
Received healthy response to inference request in 1.6892321109771729s
Received healthy response to inference request in 1.8732666969299316s
Received healthy response to inference request in 1.5044591426849365s
Received healthy response to inference request in 1.572523832321167s
5 requests
0 failed requests
5th percentile: 1.5180720806121826
10th percentile: 1.5316850185394286
20th percentile: 1.558910894393921
30th percentile: 1.5958654880523682
40th percentile: 1.6425487995147705
50th percentile: 1.6892321109771729
60th percentile: 1.7628459453582763
70th percentile: 1.8364597797393798
80th percentile: 2.016675567626953
90th percentile: 2.303493309020996
95th percentile: 2.4469021797180175
99th percentile: 2.5616292762756347
mean time: 1.8459585666656495
Pipeline stage StressChecker completed in 10.59s
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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 0.65s
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service rica40325-filter65k-v6-200-v3-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3247.97s
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rica40325-filter65k-v6-200_v3 status is now torndown due to DeploymentManager action