developer_uid: rica40325
submission_id: rica40325-filterv2_v4
model_name: rica40325-filterv2_v4
model_group: rica40325/filterv2
status: torndown
timestamp: 2025-04-23T03:20:21+00:00
num_battles: 9122
num_wins: 4412
celo_rating: 1275.69
family_friendly_score: 0.6082000000000001
family_friendly_standard_error: 0.006903517364358549
submission_type: basic
model_repo: rica40325/filterv2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5911530519979028, 'latency_mean': 1.6915388441085815, 'latency_p50': 1.6926188468933105, 'latency_p90': 1.8685362577438354}, {'batch_size': 3, 'throughput': 1.056640401054494, 'latency_mean': 2.8326095032691954, 'latency_p50': 2.8375186920166016, 'latency_p90': 3.1075114011764526}, {'batch_size': 5, 'throughput': 1.2747698354318633, 'latency_mean': 3.903231519460678, 'latency_p50': 3.8914268016815186, 'latency_p90': 4.424823951721192}, {'batch_size': 6, 'throughput': 1.31791181595032, 'latency_mean': 4.5291239714622495, 'latency_p50': 4.551633715629578, 'latency_p90': 5.044840574264526}, {'batch_size': 8, 'throughput': 1.3815704764662384, 'latency_mean': 5.762270741462707, 'latency_p50': 5.775453567504883, 'latency_p90': 6.435721325874328}, {'batch_size': 10, 'throughput': 1.4137297719547148, 'latency_mean': 7.022240121364593, 'latency_p50': 6.976874470710754, 'latency_p90': 7.865085196495056}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-filterv2_v4
is_internal_developer: False
language_model: rica40325/filterv2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-04-22
win_ratio: 0.48366586274939705
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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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 rica40325-filterv2-v4-mkmlizer
Waiting for job on rica40325-filterv2-v4-mkmlizer to finish
rica40325-filterv2-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-filterv2-v4-mkmlizer: ║     _____            __           __                                ║
rica40325-filterv2-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-filterv2-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-filterv2-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-filterv2-v4-mkmlizer: ║       /___/                                                         ║
rica40325-filterv2-v4-mkmlizer: ║                                                                     ║
rica40325-filterv2-v4-mkmlizer: ║  Version: 0.12.8                                                    ║
rica40325-filterv2-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-filterv2-v4-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-filterv2-v4-mkmlizer: ║                                                                     ║
rica40325-filterv2-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-filterv2-v4-mkmlizer: ║  belonging to:                                                      ║
rica40325-filterv2-v4-mkmlizer: ║                                                                     ║
rica40325-filterv2-v4-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-filterv2-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-filterv2-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-filterv2-v4-mkmlizer: ║                                                                     ║
rica40325-filterv2-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filterv2-v4-mkmlizer: Downloaded to shared memory in 35.210s
rica40325-filterv2-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk9h8vtth, device:0
rica40325-filterv2-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filterv2-v4-mkmlizer: quantized model in 37.269s
rica40325-filterv2-v4-mkmlizer: Processed model rica40325/filterv2 in 72.479s
rica40325-filterv2-v4-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filterv2-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filterv2-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filterv2-v4
rica40325-filterv2-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-filterv2-v4/config.json
rica40325-filterv2-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-filterv2-v4/special_tokens_map.json
rica40325-filterv2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filterv2-v4/tokenizer_config.json
rica40325-filterv2-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filterv2-v4/tokenizer.json
rica40325-filterv2-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filterv2-v4/flywheel_model.0.safetensors
rica40325-filterv2-v4-mkmlizer: 
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Job rica40325-filterv2-v4-mkmlizer completed after 94.39s with status: succeeded
Stopping job with name rica40325-filterv2-v4-mkmlizer
Pipeline stage MKMLizer completed in 94.91s
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Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service rica40325-filterv2-v4
Waiting for inference service rica40325-filterv2-v4 to be ready
Inference service rica40325-filterv2-v4 ready after 130.4410800933838s
Pipeline stage MKMLDeployer completed in 130.97s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.211348533630371s
Received healthy response to inference request in 1.7193095684051514s
Received healthy response to inference request in 1.8797664642333984s
Received healthy response to inference request in 1.862781047821045s
Received healthy response to inference request in 1.645751714706421s
5 requests
0 failed requests
5th percentile: 1.660463285446167
10th percentile: 1.675174856185913
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50th percentile: 1.862781047821045
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70th percentile: 1.8763693809509276
80th percentile: 1.946082878112793
90th percentile: 2.078715705871582
95th percentile: 2.1450321197509763
99th percentile: 2.198085250854492
mean time: 1.8637914657592773
Pipeline stage StressChecker completed in 10.75s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4615.89s
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