riverise-checkpoint-400

developer_uid: Riverise
submission_id: riverise-checkpoint-400_v1
model_name: riverise-checkpoint-400_v1
model_group: Riverise/checkpoint-400
status: torndown
timestamp: 2025-06-08T14:19:34+00:00
num_battles: 13643
num_wins: 6747
celo_rating: 1268.59
family_friendly_score: 0.6686000000000001
family_friendly_standard_error: 0.0066569368331087534
submission_type: basic
model_repo: Riverise/checkpoint-400
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-checkpoint-400_v1
is_internal_developer: False
language_model: Riverise/checkpoint-400
model_size: 13B
ranking_group: single
us_pacific_date: 2025-06-08
win_ratio: 0.4945393241955582
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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-checkpoint-400-v1-mkmlizer
Waiting for job on riverise-checkpoint-400-v1-mkmlizer to finish
riverise-checkpoint-400-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-checkpoint-400-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-400-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
riverise-checkpoint-400-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
riverise-checkpoint-400-v1-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
riverise-checkpoint-400-v1-mkmlizer: ║   ░███░░███ ░███   ░███████      ░███                               ║
riverise-checkpoint-400-v1-mkmlizer: ║   ░███ ░░░  ░███   ░███░░███     ░███                               ║
riverise-checkpoint-400-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
riverise-checkpoint-400-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
riverise-checkpoint-400-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
riverise-checkpoint-400-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-400-v1-mkmlizer: ║  Version: 0.27.1+vampire_v3                                         ║
riverise-checkpoint-400-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
riverise-checkpoint-400-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
riverise-checkpoint-400-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-checkpoint-400-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-400-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-checkpoint-400-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-checkpoint-400-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-400-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-checkpoint-400-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-checkpoint-400-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
riverise-checkpoint-400-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-400-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-checkpoint-400-v1-mkmlizer: Downloaded to shared memory in 42.493s
riverise-checkpoint-400-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxmomkxnw, device:0
riverise-checkpoint-400-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-checkpoint-400-v1-mkmlizer: quantized model in 30.538s
riverise-checkpoint-400-v1-mkmlizer: Processed model Riverise/checkpoint-400 in 73.031s
riverise-checkpoint-400-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-checkpoint-400-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-checkpoint-400-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-checkpoint-400-v1
riverise-checkpoint-400-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-checkpoint-400-v1/config.json
riverise-checkpoint-400-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-checkpoint-400-v1/special_tokens_map.json
riverise-checkpoint-400-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-checkpoint-400-v1/tokenizer_config.json
riverise-checkpoint-400-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-checkpoint-400-v1/tokenizer.json
riverise-checkpoint-400-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-checkpoint-400-v1/flywheel_model.0.safetensors
riverise-checkpoint-400-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 29.95it/s]
Loading 0:   3%|▎         | 12/363 [00:00<00:07, 47.70it/s]
Loading 0:   5%|▍         | 18/363 [00:00<00:07, 48.80it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:08, 40.49it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:07, 46.72it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:07, 44.14it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:07, 42.87it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 48.31it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 45.99it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 34.21it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:09, 33.05it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 39.05it/s]
Loading 0:  21%|██        | 77/363 [00:01<00:07, 40.27it/s]
Loading 0:  23%|██▎       | 82/363 [00:02<00:08, 33.59it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:06, 41.61it/s]
Loading 0:  26%|██▌       | 95/363 [00:02<00:06, 43.22it/s]
Loading 0:  28%|██▊       | 100/363 [00:02<00:07, 37.03it/s]
Loading 0:  29%|██▉       | 107/363 [00:02<00:05, 44.17it/s]
Loading 0:  31%|███       | 112/363 [00:02<00:05, 45.15it/s]
Loading 0:  32%|███▏      | 117/363 [00:02<00:05, 42.26it/s]
Loading 0:  34%|███▎      | 122/363 [00:02<00:05, 43.04it/s]
Loading 0:  35%|███▍      | 127/363 [00:03<00:06, 36.80it/s]
Loading 0:  37%|███▋      | 134/363 [00:03<00:05, 43.69it/s]
Loading 0:  38%|███▊      | 139/363 [00:03<00:05, 42.27it/s]
Loading 0:  40%|███▉      | 144/363 [00:03<00:08, 26.87it/s]
Loading 0:  41%|████      | 149/363 [00:03<00:07, 29.15it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 36.28it/s]
Loading 0:  44%|████▍     | 161/363 [00:04<00:05, 37.24it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:05, 38.83it/s]
Loading 0:  47%|████▋     | 171/363 [00:04<00:04, 39.97it/s]
Loading 0:  48%|████▊     | 176/363 [00:04<00:05, 34.04it/s]
Loading 0:  50%|█████     | 183/363 [00:04<00:04, 41.31it/s]
Loading 0:  52%|█████▏    | 188/363 [00:04<00:04, 41.34it/s]
Loading 0:  53%|█████▎    | 193/363 [00:04<00:04, 42.02it/s]
Loading 0:  55%|█████▍    | 198/363 [00:04<00:03, 43.05it/s]
Loading 0:  56%|█████▌    | 203/363 [00:05<00:04, 36.30it/s]
Loading 0:  58%|█████▊    | 210/363 [00:05<00:03, 43.64it/s]
Loading 0:  59%|█████▉    | 215/363 [00:05<00:03, 43.12it/s]
Loading 0:  61%|██████    | 220/363 [00:05<00:03, 44.76it/s]
Loading 0:  62%|██████▏   | 225/363 [00:05<00:05, 27.23it/s]
Loading 0:  63%|██████▎   | 230/363 [00:06<00:04, 28.75it/s]
Loading 0:  65%|██████▌   | 237/363 [00:06<00:03, 35.60it/s]
Loading 0:  67%|██████▋   | 242/363 [00:06<00:03, 36.86it/s]
Loading 0:  68%|██████▊   | 247/363 [00:06<00:03, 37.68it/s]
Loading 0:  69%|██████▉   | 252/363 [00:06<00:02, 39.20it/s]
Loading 0:  71%|███████   | 257/363 [00:06<00:03, 33.23it/s]
Loading 0:  73%|███████▎  | 264/363 [00:06<00:02, 40.25it/s]
Loading 0:  74%|███████▍  | 269/363 [00:06<00:02, 41.36it/s]
Loading 0:  75%|███████▌  | 274/363 [00:07<00:02, 42.30it/s]
Loading 0:  77%|███████▋  | 280/363 [00:07<00:02, 40.93it/s]
Loading 0:  79%|███████▊  | 285/363 [00:07<00:01, 39.75it/s]
Loading 0:  80%|████████  | 291/363 [00:07<00:01, 44.18it/s]
Loading 0:  82%|████████▏ | 296/363 [00:07<00:01, 43.52it/s]
Loading 0:  83%|████████▎ | 301/363 [00:07<00:01, 45.12it/s]
Loading 0:  84%|████████▍ | 306/363 [00:08<00:02, 23.68it/s]
Loading 0:  85%|████████▌ | 310/363 [00:08<00:02, 24.85it/s]
Loading 0:  87%|████████▋ | 314/363 [00:08<00:01, 27.11it/s]
Loading 0:  88%|████████▊ | 320/363 [00:08<00:01, 33.01it/s]
Loading 0:  90%|████████▉ | 326/363 [00:08<00:01, 34.75it/s]
Loading 0:  91%|█████████ | 330/363 [00:08<00:00, 34.10it/s]
Loading 0:  93%|█████████▎| 338/363 [00:08<00:00, 42.55it/s]
Loading 0:  94%|█████████▍| 343/363 [00:08<00:00, 43.89it/s]
Loading 0:  96%|█████████▌| 348/363 [00:09<00:00, 36.60it/s]
Loading 0:  98%|█████████▊| 356/363 [00:09<00:00, 44.22it/s]
Loading 0:  99%|█████████▉| 361/363 [00:09<00:00, 45.30it/s]
                                                            
Job riverise-checkpoint-400-v1-mkmlizer completed after 95.58s with status: succeeded
Stopping job with name riverise-checkpoint-400-v1-mkmlizer
Pipeline stage MKMLizer completed in 96.18s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service riverise-checkpoint-400-v1
Waiting for inference service riverise-checkpoint-400-v1 to be ready
Inference service riverise-checkpoint-400-v1 ready after 100.45833683013916s
Pipeline stage MKMLDeployer completed in 101.11s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.363278388977051s
Received healthy response to inference request in 1.7028541564941406s
Received healthy response to inference request in 1.7969703674316406s
Received healthy response to inference request in 1.7219393253326416s
5 requests
1 failed requests
5th percentile: 1.7066711902618408
10th percentile: 1.710488224029541
20th percentile: 1.7181222915649415
30th percentile: 1.7369455337524413
40th percentile: 1.766957950592041
50th percentile: 1.7969703674316406
60th percentile: 2.0234935760498045
70th percentile: 2.250016784667969
80th percentile: 5.9169899463653595
90th percentile: 13.02441306114197
95th percentile: 16.57812461853027
99th percentile: 19.421093864440916
mean time: 5.543375682830811
%s, retrying in %s seconds...
Received healthy response to inference request in 1.7185032367706299s
Received healthy response to inference request in 1.6414363384246826s
Received healthy response to inference request in 1.8646574020385742s
Received healthy response to inference request in 1.8067667484283447s
Received healthy response to inference request in 1.8998816013336182s
5 requests
0 failed requests
5th percentile: 1.6568497180938722
10th percentile: 1.6722630977630615
20th percentile: 1.7030898571014403
30th percentile: 1.7361559391021728
40th percentile: 1.7714613437652589
50th percentile: 1.8067667484283447
60th percentile: 1.8299230098724366
70th percentile: 1.8530792713165283
80th percentile: 1.871702241897583
90th percentile: 1.8857919216156005
95th percentile: 1.8928367614746093
99th percentile: 1.8984726333618165
mean time: 1.7862490653991698
Pipeline stage StressChecker completed in 39.31s
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 0.76s
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 0.77s
Shutdown handler de-registered
riverise-checkpoint-400_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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service riverise-checkpoint-400-v1-profiler
Waiting for inference service riverise-checkpoint-400-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 4358.75s
Shutdown handler de-registered
riverise-checkpoint-400_v1 status is now inactive due to auto deactivation removed underperforming models
riverise-checkpoint-400_v1 status is now torndown due to DeploymentManager action