developer_uid: zhenzhe
submission_id: white-bird-2-dpo_v2
model_name: white-bird-2-dpo_v2
model_group: white-bird/2_dpo
status: torndown
timestamp: 2025-03-02T08:08:58+00:00
num_battles: 8814
num_wins: 4164
celo_rating: 1256.87
family_friendly_score: 0.47440000000000004
family_friendly_standard_error: 0.007061793539887725
submission_type: basic
model_repo: white-bird/2_dpo
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.615207755917941, 'latency_mean': 1.6254038619995117, 'latency_p50': 1.6169025897979736, 'latency_p90': 1.8149819374084473}, {'batch_size': 3, 'throughput': 1.1103605352017918, 'latency_mean': 2.6899811363220216, 'latency_p50': 2.700123906135559, 'latency_p90': 2.97205536365509}, {'batch_size': 5, 'throughput': 1.3361040096043943, 'latency_mean': 3.732409955263138, 'latency_p50': 3.752271890640259, 'latency_p90': 4.146710801124573}, {'batch_size': 6, 'throughput': 1.4182467483580479, 'latency_mean': 4.20664025425911, 'latency_p50': 4.19946026802063, 'latency_p90': 4.705784940719604}, {'batch_size': 8, 'throughput': 1.4754873729201743, 'latency_mean': 5.396698174476623, 'latency_p50': 5.462991952896118, 'latency_p90': 5.938569784164429}, {'batch_size': 10, 'throughput': 1.517613986141744, 'latency_mean': 6.542323069572449, 'latency_p50': 6.5245466232299805, 'latency_p90': 7.317367100715638}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-2-dpo_v2
is_internal_developer: False
language_model: white-bird/2_dpo
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-03-02
win_ratio: 0.472430224642614
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', 'User:', 'Me:', 'Bot:', 'You:', '####', '</s>', 'Anonymous'], '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-2-dpo-v2-mkmlizer
Waiting for job on white-bird-2-dpo-v2-mkmlizer to finish
white-bird-2-dpo-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-2-dpo-v2-mkmlizer: ║ _____ __ __ ║
white-bird-2-dpo-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-2-dpo-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-2-dpo-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-2-dpo-v2-mkmlizer: ║ /___/ ║
white-bird-2-dpo-v2-mkmlizer: ║ ║
white-bird-2-dpo-v2-mkmlizer: ║ Version: 0.12.8 ║
white-bird-2-dpo-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-2-dpo-v2-mkmlizer: ║ https://mk1.ai ║
white-bird-2-dpo-v2-mkmlizer: ║ ║
white-bird-2-dpo-v2-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-2-dpo-v2-mkmlizer: ║ belonging to: ║
white-bird-2-dpo-v2-mkmlizer: ║ ║
white-bird-2-dpo-v2-mkmlizer: ║ Chai Research Corp. ║
white-bird-2-dpo-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-2-dpo-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-2-dpo-v2-mkmlizer: ║ ║
white-bird-2-dpo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-2-dpo-v2-mkmlizer: Downloaded to shared memory in 32.572s
white-bird-2-dpo-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdqxu1no2, device:0
white-bird-2-dpo-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-2-dpo-v2-mkmlizer: quantized model in 37.496s
white-bird-2-dpo-v2-mkmlizer: Processed model white-bird/2_dpo in 70.070s
white-bird-2-dpo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-2-dpo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-2-dpo-v2
white-bird-2-dpo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-2-dpo-v2/config.json
white-bird-2-dpo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-2-dpo-v2/special_tokens_map.json
white-bird-2-dpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-2-dpo-v2/tokenizer_config.json
white-bird-2-dpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-2-dpo-v2/tokenizer.json
white-bird-2-dpo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-2-dpo-v2/flywheel_model.0.safetensors
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Job white-bird-2-dpo-v2-mkmlizer completed after 104.16s with status: succeeded
Stopping job with name white-bird-2-dpo-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.21s
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Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service white-bird-2-dpo-v2
Waiting for inference service white-bird-2-dpo-v2 to be ready
Inference service white-bird-2-dpo-v2 ready after 140.6513226032257s
Pipeline stage MKMLDeployer completed in 141.37s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6600708961486816s
Received healthy response to inference request in 2.0073256492614746s
Received healthy response to inference request in 1.9368009567260742s
Received healthy response to inference request in 1.6793386936187744s
Received healthy response to inference request in 1.821312427520752s
5 requests
0 failed requests
5th percentile: 1.70773344039917
10th percentile: 1.7361281871795655
20th percentile: 1.7929176807403564
30th percentile: 1.8444101333618164
40th percentile: 1.8906055450439454
50th percentile: 1.9368009567260742
60th percentile: 1.9650108337402343
70th percentile: 1.9932207107543944
80th percentile: 2.137874698638916
90th percentile: 2.3989727973937987
95th percentile: 2.52952184677124
99th percentile: 2.6339610862731933
mean time: 2.0209697246551515
Pipeline stage StressChecker completed in 11.27s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.82s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5089.96s
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white-bird-2-dpo_v2 status is now torndown due to DeploymentManager action