developer_uid: zhenzhe
submission_id: white-bird-1-distill_v1
model_name: white-bird-1-distill_v1
model_group: white-bird/1_distill
status: torndown
timestamp: 2025-03-01T23:08:14+00:00
num_battles: 11848
num_wins: 5158
celo_rating: 1229.74
family_friendly_score: 0.6122000000000001
family_friendly_standard_error: 0.006890735229277062
submission_type: basic
model_repo: white-bird/1_distill
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': 0.5972761118101837, 'latency_mean': 1.6741851592063903, 'latency_p50': 1.6633880138397217, 'latency_p90': 1.856196975708008}, {'batch_size': 3, 'throughput': 1.0988402826404817, 'latency_mean': 2.7209759199619294, 'latency_p50': 2.72168231010437, 'latency_p90': 2.981179404258728}, {'batch_size': 5, 'throughput': 1.3062908819712702, 'latency_mean': 3.8158935034275054, 'latency_p50': 3.8320587873458862, 'latency_p90': 4.292938160896301}, {'batch_size': 6, 'throughput': 1.3765854202249777, 'latency_mean': 4.338965936899185, 'latency_p50': 4.368673086166382, 'latency_p90': 4.881447339057922}, {'batch_size': 8, 'throughput': 1.4336384884332867, 'latency_mean': 5.548526499271393, 'latency_p50': 5.566309809684753, 'latency_p90': 6.2485332012176515}, {'batch_size': 10, 'throughput': 1.4719110488325668, 'latency_mean': 6.743151208162308, 'latency_p50': 6.7588770389556885, 'latency_p90': 7.672981524467469}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: white-bird-1-distill_v1
is_internal_developer: False
language_model: white-bird/1_distill
model_size: 13B
ranking_group: single
throughput_3p7s: 1.29
us_pacific_date: 2025-03-01
win_ratio: 0.4353477380148548
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': ['User:', '####', '\n', '</s>', 'You:', 'Anonymous', 'Me:', '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-1-distill-v1-mkmlizer
Waiting for job on white-bird-1-distill-v1-mkmlizer to finish
white-bird-1-distill-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
white-bird-1-distill-v1-mkmlizer: ║ _____ __ __ ║
white-bird-1-distill-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
white-bird-1-distill-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
white-bird-1-distill-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
white-bird-1-distill-v1-mkmlizer: ║ /___/ ║
white-bird-1-distill-v1-mkmlizer: ║ ║
white-bird-1-distill-v1-mkmlizer: ║ Version: 0.12.8 ║
white-bird-1-distill-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
white-bird-1-distill-v1-mkmlizer: ║ https://mk1.ai ║
white-bird-1-distill-v1-mkmlizer: ║ ║
white-bird-1-distill-v1-mkmlizer: ║ The license key for the current software has been verified as ║
white-bird-1-distill-v1-mkmlizer: ║ belonging to: ║
white-bird-1-distill-v1-mkmlizer: ║ ║
white-bird-1-distill-v1-mkmlizer: ║ Chai Research Corp. ║
white-bird-1-distill-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
white-bird-1-distill-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
white-bird-1-distill-v1-mkmlizer: ║ ║
white-bird-1-distill-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
white-bird-1-distill-v1-mkmlizer: Downloaded to shared memory in 47.564s
white-bird-1-distill-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnhdg_1h3, device:0
white-bird-1-distill-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_gogik_2025-02-24: HTTPConnectionPool(host='blend-rosit-2025-02-16-predictor.tenant-chaiml-guanaco.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
white-bird-1-distill-v1-mkmlizer: quantized model in 35.596s
white-bird-1-distill-v1-mkmlizer: Processed model white-bird/1_distill in 83.160s
white-bird-1-distill-v1-mkmlizer: creating bucket guanaco-mkml-models
white-bird-1-distill-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
white-bird-1-distill-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/white-bird-1-distill-v1
white-bird-1-distill-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/white-bird-1-distill-v1/config.json
white-bird-1-distill-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/white-bird-1-distill-v1/special_tokens_map.json
white-bird-1-distill-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/white-bird-1-distill-v1/tokenizer_config.json
white-bird-1-distill-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/white-bird-1-distill-v1/tokenizer.json
white-bird-1-distill-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/white-bird-1-distill-v1/flywheel_model.0.safetensors
white-bird-1-distill-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.99it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 53.10it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:06, 50.19it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:06, 51.72it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 53.95it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 49.36it/s] Loading 0: 12%|█▏ | 43/363 [00:00<00:06, 49.28it/s] Loading 0: 13%|█▎ | 49/363 [00:00<00:06, 50.94it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.75it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 48.27it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 30.65it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 37.30it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 38.65it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:07, 39.80it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 44.77it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 42.85it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 42.57it/s] Loading 0: 30%|██▉ | 108/363 [00:02<00:05, 48.82it/s] Loading 0: 31%|███▏ | 114/363 [00:02<00:05, 43.85it/s] Loading 0: 33%|███▎ | 119/363 [00:02<00:05, 42.21it/s] Loading 0: 34%|███▍ | 125/363 [00:02<00:05, 45.84it/s] Loading 0: 36%|███▌ | 130/363 [00:02<00:05, 46.02it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 45.36it/s] Loading 0: 39%|███▉ | 141/363 [00:03<00:05, 43.87it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 31.84it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 31.72it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 37.58it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 39.63it/s] Loading 0: 46%|████▌ | 166/363 [00:03<00:04, 41.73it/s] Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 40.63it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 37.85it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:04, 43.43it/s] Loading 0: 52%|█████▏ | 190/363 [00:04<00:04, 42.79it/s] Loading 0: 54%|█████▎ | 195/363 [00:04<00:04, 40.95it/s] Loading 0: 55%|█████▌ | 201/363 [00:04<00:03, 44.31it/s] Loading 0: 57%|█████▋ | 206/363 [00:04<00:03, 43.87it/s] Loading 0: 58%|█████▊ | 211/363 [00:04<00:03, 44.53it/s] Loading 0: 60%|█████▉ | 217/363 [00:05<00:03, 43.57it/s] Loading 0: 61%|██████ | 222/363 [00:05<00:03, 44.82it/s] Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 31.80it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 31.38it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 36.33it/s] Loading 0: 67%|██████▋ | 242/363 [00:05<00:03, 37.82it/s] Loading 0: 68%|██████▊ | 247/363 [00:05<00:02, 40.32it/s] Loading 0: 70%|██████▉ | 253/363 [00:06<00:02, 40.56it/s] Loading 0: 71%|███████ | 258/363 [00:06<00:02, 39.77it/s] Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 45.11it/s] Loading 0: 75%|███████▍ | 271/363 [00:06<00:02, 44.00it/s] Loading 0: 76%|███████▌ | 276/363 [00:06<00:02, 41.90it/s] Loading 0: 78%|███████▊ | 282/363 [00:06<00:01, 46.23it/s] Loading 0: 79%|███████▉ | 287/363 [00:06<00:01, 46.12it/s] Loading 0: 80%|████████ | 292/363 [00:06<00:01, 46.45it/s] Loading 0: 82%|████████▏ | 298/363 [00:07<00:01, 44.04it/s] Loading 0: 83%|████████▎ | 303/363 [00:07<00:01, 45.43it/s] Loading 0: 85%|████████▍ | 308/363 [00:14<00:22, 2.46it/s] Loading 0: 86%|████████▌ | 312/363 [00:14<00:15, 3.19it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:08, 5.28it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:05, 7.22it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:03, 9.23it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 13.21it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:01, 16.83it/s] Loading 0: 96%|█████████▌| 349/363 [00:14<00:00, 20.19it/s] Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 26.64it/s] Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 29.66it/s]
Job white-bird-1-distill-v1-mkmlizer completed after 104.5s with status: succeeded
Stopping job with name white-bird-1-distill-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.00s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service white-bird-1-distill-v1
Waiting for inference service white-bird-1-distill-v1 to be ready
Inference service white-bird-1-distill-v1 ready after 140.50654888153076s
Pipeline stage MKMLDeployer completed in 141.07s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3703815937042236s
Received healthy response to inference request in 1.4069666862487793s
Received healthy response to inference request in 1.642035961151123s
Received healthy response to inference request in 1.2037546634674072s
Received healthy response to inference request in 1.8047528266906738s
5 requests
0 failed requests
5th percentile: 1.2443970680236816
10th percentile: 1.285039472579956
20th percentile: 1.366324281692505
30th percentile: 1.4539805412292481
40th percentile: 1.5480082511901856
50th percentile: 1.642035961151123
60th percentile: 1.7071227073669433
70th percentile: 1.7722094535827637
80th percentile: 1.917878580093384
90th percentile: 2.144130086898804
95th percentile: 2.2572558403015135
99th percentile: 2.3477564430236817
mean time: 1.6855783462524414
Pipeline stage StressChecker completed in 9.73s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.62s
Shutdown handler de-registered
white-bird-1-distill_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service white-bird-1-distill-v1-profiler
Waiting for inference service white-bird-1-distill-v1-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4439.71s
Shutdown handler de-registered
white-bird-1-distill_v1 status is now inactive due to auto deactivation removed underperforming models
white-bird-1-distill_v1 status is now torndown due to DeploymentManager action