riverise-dpo-0525

developer_uid: Riverise
submission_id: riverise-dpo-0525_v1
model_name: riverise-dpo-0525_v1
model_group: Riverise/dpo_0525
status: torndown
timestamp: 2025-05-27T10:27:14+00:00
num_battles: 7160
num_wins: 3418
celo_rating: 1267.52
family_friendly_score: 0.5786
family_friendly_standard_error: 0.006983151723971061
submission_type: basic
model_repo: Riverise/dpo_0525
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: riverise-dpo-0525_v1
is_internal_developer: False
language_model: Riverise/dpo_0525
model_size: 13B
ranking_group: single
us_pacific_date: 2025-05-27
win_ratio: 0.47737430167597766
generation_params: {'temperature': 0.95, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.2, '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 riverise-dpo-0525-v1-mkmlizer
Waiting for job on riverise-dpo-0525-v1-mkmlizer to finish
riverise-dpo-0525-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-dpo-0525-v1-mkmlizer: ║     _____            __           __                                ║
riverise-dpo-0525-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-dpo-0525-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-dpo-0525-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-dpo-0525-v1-mkmlizer: ║       /___/                                                         ║
riverise-dpo-0525-v1-mkmlizer: ║                                                                     ║
riverise-dpo-0525-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
riverise-dpo-0525-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-dpo-0525-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-dpo-0525-v1-mkmlizer: ║                                                                     ║
riverise-dpo-0525-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-dpo-0525-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-dpo-0525-v1-mkmlizer: ║                                                                     ║
riverise-dpo-0525-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-dpo-0525-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-dpo-0525-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
riverise-dpo-0525-v1-mkmlizer: ║                                                                     ║
riverise-dpo-0525-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Retrying (%r) after connection broken by '%r': %s
riverise-dpo-0525-v1-mkmlizer: Downloaded to shared memory in 40.526s
riverise-dpo-0525-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiaias5vw, device:0
riverise-dpo-0525-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-dpo-0525-v1-mkmlizer: quantized model in 36.736s
riverise-dpo-0525-v1-mkmlizer: Processed model Riverise/dpo_0525 in 77.262s
riverise-dpo-0525-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-dpo-0525-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-dpo-0525-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-dpo-0525-v1
riverise-dpo-0525-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-dpo-0525-v1/special_tokens_map.json
riverise-dpo-0525-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-dpo-0525-v1/config.json
riverise-dpo-0525-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-dpo-0525-v1/tokenizer_config.json
riverise-dpo-0525-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-dpo-0525-v1/tokenizer.json
riverise-dpo-0525-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-dpo-0525-v1/flywheel_model.0.safetensors
riverise-dpo-0525-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 31.17it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 50.47it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 44.75it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 43.20it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 48.08it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 44.73it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 43.40it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 48.27it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 45.31it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:09, 33.50it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 33.03it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 39.23it/s]
Loading 0:  21%|██        | 77/363 [00:01<00:06, 41.23it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:07, 35.62it/s]
Loading 0:  25%|██▍       | 89/363 [00:02<00:06, 42.56it/s]
Loading 0:  26%|██▌       | 94/363 [00:02<00:06, 42.55it/s]
Loading 0:  27%|██▋       | 99/363 [00:02<00:06, 41.16it/s]
Loading 0:  29%|██▊       | 104/363 [00:02<00:06, 41.76it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:05, 43.15it/s]
Loading 0:  31%|███▏      | 114/363 [00:02<00:06, 38.04it/s]
Loading 0:  33%|███▎      | 118/363 [00:02<00:06, 36.33it/s]
Loading 0:  34%|███▍      | 125/363 [00:03<00:05, 43.67it/s]
Loading 0:  36%|███▌      | 130/363 [00:03<00:05, 43.20it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:05, 43.41it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:05, 41.72it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:07, 29.45it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:07, 29.66it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 34.76it/s]
Loading 0:  44%|████▍     | 160/363 [00:04<00:05, 35.34it/s]
Loading 0:  45%|████▌     | 165/363 [00:04<00:05, 38.66it/s]
Loading 0:  47%|████▋     | 170/363 [00:04<00:04, 40.26it/s]
Loading 0:  48%|████▊     | 175/363 [00:04<00:04, 41.03it/s]
Loading 0:  50%|████▉     | 180/363 [00:04<00:04, 42.95it/s]
Loading 0:  51%|█████     | 185/363 [00:04<00:04, 36.35it/s]
Loading 0:  53%|█████▎    | 192/363 [00:04<00:03, 43.91it/s]
Loading 0:  54%|█████▍    | 197/363 [00:04<00:03, 43.38it/s]
Loading 0:  56%|█████▌    | 202/363 [00:05<00:03, 43.68it/s]
Loading 0:  57%|█████▋    | 208/363 [00:05<00:03, 41.75it/s]
Loading 0:  59%|█████▊    | 213/363 [00:05<00:03, 41.11it/s]
Loading 0:  60%|██████    | 218/363 [00:05<00:03, 42.23it/s]
Loading 0:  61%|██████▏   | 223/363 [00:05<00:04, 32.02it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:04, 32.54it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:04, 31.46it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 36.97it/s]
Loading 0:  66%|██████▋   | 241/363 [00:06<00:03, 36.81it/s]
Loading 0:  68%|██████▊   | 246/363 [00:06<00:02, 39.63it/s]
Loading 0:  69%|██████▉   | 251/363 [00:06<00:02, 40.21it/s]
Loading 0:  71%|███████   | 256/363 [00:06<00:02, 41.36it/s]
Loading 0:  72%|███████▏  | 262/363 [00:06<00:02, 40.02it/s]
Loading 0:  74%|███████▎  | 267/363 [00:06<00:02, 39.49it/s]
Loading 0:  75%|███████▌  | 273/363 [00:06<00:02, 43.62it/s]
Loading 0:  77%|███████▋  | 278/363 [00:06<00:01, 44.04it/s]
Loading 0:  78%|███████▊  | 283/363 [00:07<00:01, 43.90it/s]
Loading 0:  79%|███████▉  | 288/363 [00:07<00:01, 44.19it/s]
Loading 0:  81%|████████  | 293/363 [00:07<00:01, 35.80it/s]
Loading 0:  82%|████████▏ | 299/363 [00:07<00:01, 41.14it/s]
Loading 0:  84%|████████▎ | 304/363 [00:14<00:24,  2.45it/s]
Loading 0:  85%|████████▍ | 308/363 [00:14<00:17,  3.18it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:12,  4.16it/s]
Loading 0:  88%|████████▊ | 319/363 [00:14<00:06,  6.59it/s]
Loading 0:  89%|████████▉ | 324/363 [00:14<00:04,  8.74it/s]
Loading 0:  91%|█████████ | 329/363 [00:14<00:02, 11.45it/s]
Loading 0:  92%|█████████▏| 335/363 [00:15<00:01, 15.03it/s]
Loading 0:  94%|█████████▎| 340/363 [00:15<00:01, 18.37it/s]
Loading 0:  96%|█████████▌| 347/363 [00:15<00:00, 24.62it/s]
Loading 0:  97%|█████████▋| 353/363 [00:15<00:00, 27.95it/s]
Loading 0:  99%|█████████▊| 358/363 [00:15<00:00, 30.41it/s]
                                                            
Job riverise-dpo-0525-v1-mkmlizer completed after 104.51s with status: succeeded
Stopping job with name riverise-dpo-0525-v1-mkmlizer
Pipeline stage MKMLizer completed in 124.46s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service riverise-dpo-0525-v1
Waiting for inference service riverise-dpo-0525-v1 to be ready
Inference service riverise-dpo-0525-v1 ready after 160.7994031906128s
Pipeline stage MKMLDeployer completed in 161.41s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.359684467315674s
Received healthy response to inference request in 1.6947746276855469s
Received healthy response to inference request in 1.5696296691894531s
Received healthy response to inference request in 1.744567632675171s
Received healthy response to inference request in 1.7051184177398682s
5 requests
0 failed requests
5th percentile: 1.594658660888672
10th percentile: 1.6196876525878907
20th percentile: 1.669745635986328
30th percentile: 1.6968433856964111
40th percentile: 1.7009809017181396
50th percentile: 1.7051184177398682
60th percentile: 1.7208981037139892
70th percentile: 1.7366777896881103
80th percentile: 1.8675909996032716
90th percentile: 2.1136377334594725
95th percentile: 2.236661100387573
99th percentile: 2.3350797939300536
mean time: 1.8147549629211426
Pipeline stage StressChecker completed in 10.21s
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 0.97s
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 0.65s
Shutdown handler de-registered
riverise-dpo-0525_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 0.10s
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 riverise-dpo-0525-v1-profiler
Waiting for inference service riverise-dpo-0525-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 4581.53s
Shutdown handler de-registered
riverise-dpo-0525_v1 status is now inactive due to auto deactivation removed underperforming models
riverise-dpo-0525_v1 status is now torndown due to DeploymentManager action