developer_uid: zhenzhe
submission_id: white-bird-5-dpo-50step_v1
model_name: white-bird-5-dpo-50step_v1
model_group: white-bird/5_dpo_50step
status: torndown
timestamp: 2025-03-02T13:49:46+00:00
num_battles: 8959
num_wins: 4297
celo_rating: 1264.35
family_friendly_score: 0.46199999999999997
family_friendly_standard_error: 0.007050616994277877
submission_type: basic
model_repo: white-bird/5_dpo_50step
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': 0.6052618540550221, 'latency_mean': 1.6521146416664123, 'latency_p50': 1.6497312784194946, 'latency_p90': 1.8284467697143554}, {'batch_size': 3, 'throughput': 1.0916486442851632, 'latency_mean': 2.7454147505760194, 'latency_p50': 2.761173725128174, 'latency_p90': 2.994171714782715}, {'batch_size': 5, 'throughput': 1.3207745905594015, 'latency_mean': 3.765627484321594, 'latency_p50': 3.7947070598602295, 'latency_p90': 4.197309851646423}, {'batch_size': 6, 'throughput': 1.3758082139808354, 'latency_mean': 4.3291563332080845, 'latency_p50': 4.301110744476318, 'latency_p90': 4.873558974266052}, {'batch_size': 8, 'throughput': 1.4408466994283924, 'latency_mean': 5.525898796319962, 'latency_p50': 5.543112754821777, 'latency_p90': 6.219825601577758}, {'batch_size': 10, 'throughput': 1.4810243717064735, 'latency_mean': 6.688194315433503, 'latency_p50': 6.7140220403671265, 'latency_p90': 7.724311470985413}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-5-dpo-50step_v1
is_internal_developer: False
language_model: white-bird/5_dpo_50step
model_size: 13B
ranking_group: single
throughput_3p7s: 1.32
us_pacific_date: 2025-03-02
win_ratio: 0.47962942292666594
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': ['</s>', '\n', 'You:', 'Anonymous', 'Me:', '####', 'User:', 'Bot:'], '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-5-dpo-50step-v1-mkmlizer
Waiting for job on white-bird-5-dpo-50step-v1-mkmlizer to finish
white-bird-5-dpo-50step-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-5-dpo-50step-v1-mkmlizer: ║ _____ __ __ ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ /___/ ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ Version: 0.12.8 ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ https://mk1.ai ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ belonging to: ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ Chai Research Corp. ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-5-dpo-50step-v1-mkmlizer: ║ ║
white-bird-5-dpo-50step-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-5-dpo-50step-v1-mkmlizer: Downloaded to shared memory in 38.940s
white-bird-5-dpo-50step-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptq8d0y2l, device:0
white-bird-5-dpo-50step-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
white-bird-5-dpo-50step-v1-mkmlizer: quantized model in 36.571s
white-bird-5-dpo-50step-v1-mkmlizer: Processed model white-bird/5_dpo_50step in 75.512s
white-bird-5-dpo-50step-v1-mkmlizer: creating bucket guanaco-mkml-models
white-bird-5-dpo-50step-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-5-dpo-50step-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-5-dpo-50step-v1
white-bird-5-dpo-50step-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-5-dpo-50step-v1/config.json
white-bird-5-dpo-50step-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-5-dpo-50step-v1/special_tokens_map.json
white-bird-5-dpo-50step-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-5-dpo-50step-v1/tokenizer_config.json
white-bird-5-dpo-50step-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-5-dpo-50step-v1/tokenizer.json
white-bird-5-dpo-50step-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-5-dpo-50step-v1/flywheel_model.0.safetensors
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Job white-bird-5-dpo-50step-v1-mkmlizer completed after 103.98s with status: succeeded
Stopping job with name white-bird-5-dpo-50step-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.44s
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Creating inference service white-bird-5-dpo-50step-v1
Waiting for inference service white-bird-5-dpo-50step-v1 to be ready
Inference service white-bird-5-dpo-50step-v1 ready after 140.49726581573486s
Pipeline stage MKMLDeployer completed in 141.12s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.380507230758667s
Received healthy response to inference request in 1.6874055862426758s
Received healthy response to inference request in 1.7293744087219238s
Received healthy response to inference request in 1.6521403789520264s
Received healthy response to inference request in 1.8164868354797363s
5 requests
0 failed requests
5th percentile: 1.6591934204101562
10th percentile: 1.6662464618682862
20th percentile: 1.680352544784546
30th percentile: 1.6957993507385254
40th percentile: 1.7125868797302246
50th percentile: 1.7293744087219238
60th percentile: 1.764219379425049
70th percentile: 1.7990643501281738
80th percentile: 1.9292909145355226
90th percentile: 2.154899072647095
95th percentile: 2.267703151702881
99th percentile: 2.35794641494751
mean time: 1.853182888031006
Pipeline stage StressChecker completed in 10.77s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.70s
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Evaluating %s Family Friendly Score with %s threads
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Pipeline stage OfflineFamilyFriendlyScorer completed in 4567.87s
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