white-bird-4-dpo

developer_uid: zhenzhe

submission_id: white-bird-4-dpo_v2

model_name: white-bird-4-dpo_v2

model_group: white-bird/4_dpo

status: torndown

timestamp: 2025-03-02T11:21:39+00:00

num_battles: 8506

num_wins: 4240

celo_rating: 1275.59

family_friendly_score: 0.4184

family_friendly_standard_error: 0.006976266049972578

submission_type: basic

model_repo: white-bird/4_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': 0.6052623222123533, 'latency_mean': 1.6521056032180785, 'latency_p50': 1.6516273021697998, 'latency_p90': 1.8153184413909913}, {'batch_size': 3, 'throughput': 1.1231782851141348, 'latency_mean': 2.6600852501392365, 'latency_p50': 2.65421199798584, 'latency_p90': 2.9700523614883423}, {'batch_size': 5, 'throughput': 1.3758116505642028, 'latency_mean': 3.6207661724090574, 'latency_p50': 3.6095457077026367, 'latency_p90': 4.009782862663269}, {'batch_size': 6, 'throughput': 1.4358258139517888, 'latency_mean': 4.161170548200607, 'latency_p50': 4.174326777458191, 'latency_p90': 4.647032451629639}, {'batch_size': 8, 'throughput': 1.5058389123690943, 'latency_mean': 5.285058228969574, 'latency_p50': 5.283187747001648, 'latency_p90': 5.935506558418274}, {'batch_size': 10, 'throughput': 1.5427095559032686, 'latency_mean': 6.436623957157135, 'latency_p50': 6.457596778869629, 'latency_p90': 7.202615451812744}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: white-bird-4-dpo_v2

is_internal_developer: False

language_model: white-bird/4_dpo

model_size: 13B

ranking_group: single

throughput_3p7s: 1.39

us_pacific_date: 2025-03-02

win_ratio: 0.4984716670585469

generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, 'stopping_words': ['\n', 'Anonymous', '</s>', '####', 'You:', 'Me:', 'Bot:', 'User:'], '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-4-dpo-v2-mkmlizer
Waiting for job on white-bird-4-dpo-v2-mkmlizer to finish
white-bird-4-dpo-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-4-dpo-v2-mkmlizer: ║     _____            __           __                                ║
white-bird-4-dpo-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
white-bird-4-dpo-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
white-bird-4-dpo-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
white-bird-4-dpo-v2-mkmlizer: ║       /___/                                                         ║
white-bird-4-dpo-v2-mkmlizer: ║                                                                     ║
white-bird-4-dpo-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
white-bird-4-dpo-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
white-bird-4-dpo-v2-mkmlizer: ║  https://mk1.ai                                                     ║
white-bird-4-dpo-v2-mkmlizer: ║                                                                     ║
white-bird-4-dpo-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
white-bird-4-dpo-v2-mkmlizer: ║  belonging to:                                                      ║
white-bird-4-dpo-v2-mkmlizer: ║                                                                     ║
white-bird-4-dpo-v2-mkmlizer: ║  Chai Research Corp.                                                ║
white-bird-4-dpo-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
white-bird-4-dpo-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
white-bird-4-dpo-v2-mkmlizer: ║                                                                     ║
white-bird-4-dpo-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-4-dpo-v2-mkmlizer: Downloaded to shared memory in 28.852s
white-bird-4-dpo-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpp4bhn3t0, device:0
white-bird-4-dpo-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-4-dpo-v2-mkmlizer: quantized model in 37.639s
white-bird-4-dpo-v2-mkmlizer: Processed model white-bird/4_dpo in 66.492s
white-bird-4-dpo-v2-mkmlizer: creating bucket guanaco-mkml-models
white-bird-4-dpo-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-4-dpo-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-4-dpo-v2
white-bird-4-dpo-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-4-dpo-v2/config.json
white-bird-4-dpo-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-4-dpo-v2/special_tokens_map.json
white-bird-4-dpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-4-dpo-v2/tokenizer_config.json
white-bird-4-dpo-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-4-dpo-v2/tokenizer.json
white-bird-4-dpo-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-4-dpo-v2/flywheel_model.0.safetensors
white-bird-4-dpo-v2-mkmlizer: 
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Job white-bird-4-dpo-v2-mkmlizer completed after 93.5s with status: succeeded
Stopping job with name white-bird-4-dpo-v2-mkmlizer
Pipeline stage MKMLizer completed in 94.02s
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Running pipeline stage MKMLDeployer
Creating inference service white-bird-4-dpo-v2
Waiting for inference service white-bird-4-dpo-v2 to be ready
Inference service white-bird-4-dpo-v2 ready after 140.8760302066803s
Pipeline stage MKMLDeployer completed in 141.38s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.388925075531006s
Received healthy response to inference request in 1.8548424243927002s
Received healthy response to inference request in 1.8017075061798096s
Received healthy response to inference request in 1.6879301071166992s
Received healthy response to inference request in 1.751347303390503s
5 requests
0 failed requests
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mean time: 1.8969504833221436
Pipeline stage StressChecker completed in 10.78s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4492.10s
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