developer_uid: zhenzhe
submission_id: white-bird-1-sft-label1_v2
model_name: white-bird-1-sft-label1_v2
model_group: white-bird/1_sft_label1
status: torndown
timestamp: 2025-03-01T22:04:03+00:00
num_battles: 13161
num_wins: 5601
celo_rating: 1224.68
family_friendly_score: 0.6275999999999999
family_friendly_standard_error: 0.006836932645565554
submission_type: basic
model_repo: white-bird/1_sft_label1
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': 0.6043342722473706, 'latency_mean': 1.6546519672870637, 'latency_p50': 1.6537190675735474, 'latency_p90': 1.8359953880310058}, {'batch_size': 3, 'throughput': 1.1006192619462831, 'latency_mean': 2.7191191375255586, 'latency_p50': 2.7082817554473877, 'latency_p90': 3.0918648719787596}, {'batch_size': 5, 'throughput': 1.3309695749175112, 'latency_mean': 3.741471532583237, 'latency_p50': 3.7474136352539062, 'latency_p90': 4.150769853591918}, {'batch_size': 6, 'throughput': 1.3933022893712328, 'latency_mean': 4.288128720521927, 'latency_p50': 4.298696398735046, 'latency_p90': 4.7821963071823115}, {'batch_size': 8, 'throughput': 1.4636107860254857, 'latency_mean': 5.438298304080963, 'latency_p50': 5.441586494445801, 'latency_p90': 6.108867144584655}, {'batch_size': 10, 'throughput': 1.4880688949093757, 'latency_mean': 6.670143964290619, 'latency_p50': 6.672163248062134, 'latency_p90': 7.599322962760925}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-1-sft-label1_v2
is_internal_developer: False
language_model: white-bird/1_sft_label1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-03-01
win_ratio: 0.4255755641668566
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['Me:', 'Bot:', 'User:', '\n', '</s>', '####', 'You:'], '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 white-bird-1-sft-label1-v2-mkmlizer
Waiting for job on white-bird-1-sft-label1-v2-mkmlizer to finish
white-bird-1-sft-label1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-1-sft-label1-v2-mkmlizer: ║ _____ __ __ ║
white-bird-1-sft-label1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-1-sft-label1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-1-sft-label1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-1-sft-label1-v2-mkmlizer: ║ /___/ ║
white-bird-1-sft-label1-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-v2-mkmlizer: ║ Version: 0.12.8 ║
white-bird-1-sft-label1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-1-sft-label1-v2-mkmlizer: ║ https://mk1.ai ║
white-bird-1-sft-label1-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-1-sft-label1-v2-mkmlizer: ║ belonging to: ║
white-bird-1-sft-label1-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-v2-mkmlizer: ║ Chai Research Corp. ║
white-bird-1-sft-label1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-1-sft-label1-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-1-sft-label1-v2-mkmlizer: ║ ║
white-bird-1-sft-label1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-1-sft-label1-v2-mkmlizer: Downloaded to shared memory in 44.311s
white-bird-1-sft-label1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc_uylw_u, device:0
white-bird-1-sft-label1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-1-sft-label1-v2-mkmlizer: quantized model in 35.441s
white-bird-1-sft-label1-v2-mkmlizer: Processed model white-bird/1_sft_label1 in 79.753s
white-bird-1-sft-label1-v2-mkmlizer: creating bucket guanaco-mkml-models
white-bird-1-sft-label1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-1-sft-label1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-1-sft-label1-v2
white-bird-1-sft-label1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-1-sft-label1-v2/special_tokens_map.json
white-bird-1-sft-label1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-1-sft-label1-v2/config.json
white-bird-1-sft-label1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-1-sft-label1-v2/tokenizer_config.json
white-bird-1-sft-label1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-1-sft-label1-v2/tokenizer.json
white-bird-1-sft-label1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-1-sft-label1-v2/flywheel_model.0.safetensors
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Job white-bird-1-sft-label1-v2-mkmlizer completed after 104.05s with status: succeeded
Stopping job with name white-bird-1-sft-label1-v2-mkmlizer
Pipeline stage MKMLizer completed in 104.56s
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Creating inference service white-bird-1-sft-label1-v2
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Inference service white-bird-1-sft-label1-v2 ready after 140.64144659042358s
Pipeline stage MKMLDeployer completed in 141.20s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4907710552215576s
Received healthy response to inference request in 1.244575023651123s
Received healthy response to inference request in 1.8471267223358154s
Received healthy response to inference request in 1.1986916065216064s
Received healthy response to inference request in 1.2556264400482178s
5 requests
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5th percentile: 1.2078682899475097
10th percentile: 1.217044973373413
20th percentile: 1.2353983402252198
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70th percentile: 1.7288266658782958
80th percentile: 1.9758555889129639
90th percentile: 2.2333133220672607
95th percentile: 2.362042188644409
99th percentile: 2.465025281906128
mean time: 1.607358169555664
Pipeline stage StressChecker completed in 9.47s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4351.35s
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white-bird-1-sft-label1_v2 status is now torndown due to DeploymentManager action