developer_uid: zhenzhe
submission_id: white-bird-1-sft-label1-400_v3
model_name: white-bird-1-sft-label1-400_v3
model_group: white-bird/1_sft_label1_
status: torndown
timestamp: 2025-03-02T04:00:43+00:00
num_battles: 9284
num_wins: 3980
celo_rating: 1223.2
family_friendly_score: 0.6272
family_friendly_standard_error: 0.0068384232100682394
submission_type: basic
model_repo: white-bird/1_sft_label1_400
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': 0.613069807202373, 'latency_mean': 1.6310631251335144, 'latency_p50': 1.6342729330062866, 'latency_p90': 1.80620539188385}, {'batch_size': 3, 'throughput': 1.1241775576439934, 'latency_mean': 2.662833876609802, 'latency_p50': 2.6700079441070557, 'latency_p90': 2.9233693361282347}, {'batch_size': 5, 'throughput': 1.3460251329734885, 'latency_mean': 3.694943813085556, 'latency_p50': 3.6972230672836304, 'latency_p90': 4.116552877426147}, {'batch_size': 6, 'throughput': 1.4213478710031677, 'latency_mean': 4.199027202129364, 'latency_p50': 4.229763031005859, 'latency_p90': 4.667809176445007}, {'batch_size': 8, 'throughput': 1.4889008763030405, 'latency_mean': 5.321598411798477, 'latency_p50': 5.325522303581238, 'latency_p90': 5.982622885704041}, {'batch_size': 10, 'throughput': 1.5209563326829292, 'latency_mean': 6.506456475257874, 'latency_p50': 6.546494722366333, 'latency_p90': 7.334551072120666}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-1-sft-label1-400_v3
is_internal_developer: False
language_model: white-bird/1_sft_label1_400
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-03-01
win_ratio: 0.42869452822059456
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': ['\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 white-bird-1-sft-label1-400-v3-mkmlizer
Waiting for job on white-bird-1-sft-label1-400-v3-mkmlizer to finish
white-bird-1-sft-label1-400-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-1-sft-label1-400-v3-mkmlizer: ║ _____ __ __ ║
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white-bird-1-sft-label1-400-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ /___/ ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ Version: 0.12.8 ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ https://mk1.ai ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ belonging to: ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ Chai Research Corp. ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-1-sft-label1-400-v3-mkmlizer: ║ ║
white-bird-1-sft-label1-400-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission white-bird-1-sft-label4-diff_v1: HTTPConnectionPool(host='white-bird-1-sft-label4-diff-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
white-bird-1-sft-label1-400-v3-mkmlizer: Downloaded to shared memory in 55.001s
white-bird-1-sft-label1-400-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp838jn29k, device:0
white-bird-1-sft-label1-400-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-1-sft-label1-400-v3-mkmlizer: quantized model in 35.972s
white-bird-1-sft-label1-400-v3-mkmlizer: Processed model white-bird/1_sft_label1_400 in 90.973s
white-bird-1-sft-label1-400-v3-mkmlizer: creating bucket guanaco-mkml-models
white-bird-1-sft-label1-400-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-1-sft-label1-400-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-1-sft-label1-400-v3
white-bird-1-sft-label1-400-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-1-sft-label1-400-v3/config.json
white-bird-1-sft-label1-400-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-1-sft-label1-400-v3/special_tokens_map.json
white-bird-1-sft-label1-400-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-1-sft-label1-400-v3/tokenizer_config.json
white-bird-1-sft-label1-400-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-1-sft-label1-400-v3/flywheel_model.0.safetensors
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Job white-bird-1-sft-label1-400-v3-mkmlizer completed after 114.64s with status: succeeded
Stopping job with name white-bird-1-sft-label1-400-v3-mkmlizer
Pipeline stage MKMLizer completed in 115.16s
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Pipeline stage MKMLTemplater completed in 0.18s
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Creating inference service white-bird-1-sft-label1-400-v3
Waiting for inference service white-bird-1-sft-label1-400-v3 to be ready
Inference service white-bird-1-sft-label1-400-v3 ready after 130.59230160713196s
Pipeline stage MKMLDeployer completed in 131.35s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4085052013397217s
Received healthy response to inference request in 1.4470562934875488s
Received healthy response to inference request in 1.4019999504089355s
Received healthy response to inference request in 1.5696086883544922s
Received healthy response to inference request in 1.6059331893920898s
5 requests
0 failed requests
5th percentile: 1.4110112190246582
10th percentile: 1.4200224876403809
20th percentile: 1.4380450248718262
30th percentile: 1.4715667724609376
40th percentile: 1.5205877304077149
50th percentile: 1.5696086883544922
60th percentile: 1.5841384887695313
70th percentile: 1.5986682891845703
80th percentile: 1.7664475917816165
90th percentile: 2.087476396560669
95th percentile: 2.247990798950195
99th percentile: 2.3764023208618164
mean time: 1.6866206645965576
Pipeline stage StressChecker completed in 9.96s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.90s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4042.20s
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white-bird-1-sft-label1-400_v3 status is now inactive due to auto deactivation removed underperforming models
white-bird-1-sft-label1-400_v3 status is now torndown due to DeploymentManager action