rica40325-filterv2

developer_uid: rica40325

submission_id: rica40325-filterv2_v2

model_name: rica40325-filterv2_v1

model_group: rica40325/filterv2

status: torndown

timestamp: 2025-04-21T05:38:57+00:00

num_battles: 6971

num_wins: 3343

celo_rating: 1273.15

family_friendly_score: 0.6086

family_friendly_standard_error: 0.0069022610788059885

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': 0.6078343857663457, 'latency_mean': 1.6451207244396209, 'latency_p50': 1.6627063751220703, 'latency_p90': 1.8119276762008667}, {'batch_size': 3, 'throughput': 1.11427916746872, 'latency_mean': 2.6852723693847658, 'latency_p50': 2.6619715690612793, 'latency_p90': 2.977575659751892}, {'batch_size': 5, 'throughput': 1.3392599881816798, 'latency_mean': 3.710817722082138, 'latency_p50': 3.7065680027008057, 'latency_p90': 4.104082226753235}, {'batch_size': 6, 'throughput': 1.4074503339050504, 'latency_mean': 4.234278857707977, 'latency_p50': 4.200987339019775, 'latency_p90': 4.731566548347473}, {'batch_size': 8, 'throughput': 1.4762817582927323, 'latency_mean': 5.38949090719223, 'latency_p50': 5.371681451797485, 'latency_p90': 5.997229266166687}, {'batch_size': 10, 'throughput': 1.5175332349474548, 'latency_mean': 6.532724207639694, 'latency_p50': 6.558147311210632, 'latency_p90': 7.39072048664093}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: rica40325-filterv2_v1

is_internal_developer: False

language_model: rica40325/filterv2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.35

us_pacific_date: 2025-04-20

win_ratio: 0.47955816955960406

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.5, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], '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-v2-mkmlizer
Waiting for job on rica40325-filterv2-v2-mkmlizer to finish
rica40325-filterv2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rica40325-filterv2-v2-mkmlizer: ║     _____            __           __                                ║
rica40325-filterv2-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rica40325-filterv2-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rica40325-filterv2-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rica40325-filterv2-v2-mkmlizer: ║       /___/                                                         ║
rica40325-filterv2-v2-mkmlizer: ║                                                                     ║
rica40325-filterv2-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
rica40325-filterv2-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rica40325-filterv2-v2-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-filterv2-v2-mkmlizer: ║                                                                     ║
rica40325-filterv2-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-filterv2-v2-mkmlizer: ║  belonging to:                                                      ║
rica40325-filterv2-v2-mkmlizer: ║                                                                     ║
rica40325-filterv2-v2-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-filterv2-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-filterv2-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-filterv2-v2-mkmlizer: ║                                                                     ║
rica40325-filterv2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filterv2-v2-mkmlizer: Downloaded to shared memory in 33.470s
rica40325-filterv2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpoy6wf03l, device:0
rica40325-filterv2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filterv2-v2-mkmlizer: quantized model in 36.719s
rica40325-filterv2-v2-mkmlizer: Processed model rica40325/filterv2 in 70.190s
rica40325-filterv2-v2-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filterv2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filterv2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filterv2-v2
rica40325-filterv2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-filterv2-v2/special_tokens_map.json
rica40325-filterv2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filterv2-v2/tokenizer_config.json
rica40325-filterv2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filterv2-v2/tokenizer.json
rica40325-filterv2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filterv2-v2/flywheel_model.0.safetensors
rica40325-filterv2-v2-mkmlizer: 
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Job rica40325-filterv2-v2-mkmlizer completed after 104.1s with status: succeeded
Stopping job with name rica40325-filterv2-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.91s
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Running pipeline stage MKMLDeployer
Creating inference service rica40325-filterv2-v2
Waiting for inference service rica40325-filterv2-v2 to be ready
Inference service rica40325-filterv2-v2 ready after 120.41407203674316s
Pipeline stage MKMLDeployer completed in 120.92s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.384439468383789s
Received healthy response to inference request in 1.528538465499878s
Received healthy response to inference request in 1.979790449142456s
Received healthy response to inference request in 1.7721312046051025s
Received healthy response to inference request in 1.8583018779754639s
5 requests
0 failed requests
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2721.21s
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