developer_uid: RandomForest1024
submission_id: randomforest1024-v25_v9
model_name: randomforest1024-v25_v9
model_group: RandomForest1024/V25
status: torndown
timestamp: 2025-02-10T19:03:54+00:00
num_battles: 12070
num_wins: 5792
celo_rating: 1241.35
family_friendly_score: 0.5928
family_friendly_standard_error: 0.006948210704922527
submission_type: basic
model_repo: RandomForest1024/V25
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: randomforest1024-v25_v9
is_internal_developer: False
language_model: RandomForest1024/V25
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-10
win_ratio: 0.47986743993371994
generation_params: {'temperature': 0.95, 'top_p': 0.7, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.3, '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 randomforest1024-v25-v9-mkmlizer
Waiting for job on randomforest1024-v25-v9-mkmlizer to finish
randomforest1024-v25-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
randomforest1024-v25-v9-mkmlizer: ║     _____            __           __                                ║
randomforest1024-v25-v9-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
randomforest1024-v25-v9-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
randomforest1024-v25-v9-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
randomforest1024-v25-v9-mkmlizer: ║       /___/                                                         ║
randomforest1024-v25-v9-mkmlizer: ║                                                                     ║
randomforest1024-v25-v9-mkmlizer: ║  Version: 0.11.12                                                   ║
randomforest1024-v25-v9-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
randomforest1024-v25-v9-mkmlizer: ║  https://mk1.ai                                                     ║
randomforest1024-v25-v9-mkmlizer: ║                                                                     ║
randomforest1024-v25-v9-mkmlizer: ║  The license key for the current software has been verified as      ║
randomforest1024-v25-v9-mkmlizer: ║  belonging to:                                                      ║
randomforest1024-v25-v9-mkmlizer: ║                                                                     ║
randomforest1024-v25-v9-mkmlizer: ║  Chai Research Corp.                                                ║
randomforest1024-v25-v9-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
randomforest1024-v25-v9-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
randomforest1024-v25-v9-mkmlizer: ║                                                                     ║
randomforest1024-v25-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission dtnewman-trainer-kesif-2_1727_v2: HTTPConnectionPool(host='dtnewman-trainer-kesif-2-1727-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
randomforest1024-v25-v9-mkmlizer: Downloaded to shared memory in 39.665s
randomforest1024-v25-v9-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkytmkak2, device:0
randomforest1024-v25-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
randomforest1024-v25-v9-mkmlizer: quantized model in 34.864s
randomforest1024-v25-v9-mkmlizer: Processed model RandomForest1024/V25 in 74.529s
randomforest1024-v25-v9-mkmlizer: creating bucket guanaco-mkml-models
randomforest1024-v25-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
randomforest1024-v25-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/randomforest1024-v25-v9
randomforest1024-v25-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/randomforest1024-v25-v9/config.json
randomforest1024-v25-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/randomforest1024-v25-v9/special_tokens_map.json
randomforest1024-v25-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/randomforest1024-v25-v9/tokenizer_config.json
randomforest1024-v25-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/randomforest1024-v25-v9/tokenizer.json
randomforest1024-v25-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/randomforest1024-v25-v9/flywheel_model.0.safetensors
randomforest1024-v25-v9-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 31.27it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 53.51it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:06, 50.93it/s]
Loading 0:   7%|▋         | 25/363 [00:00<00:06, 51.11it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 52.77it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 50.00it/s]
Loading 0:  12%|█▏        | 43/363 [00:00<00:06, 51.50it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:05, 53.66it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 46.56it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 37.29it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:07, 37.41it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:06, 41.65it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 42.17it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 42.84it/s]
Loading 0:  25%|██▍       | 90/363 [00:01<00:05, 48.61it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 46.01it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:05, 45.12it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:04, 53.95it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 48.22it/s]
Loading 0:  33%|███▎      | 121/363 [00:02<00:05, 46.56it/s]
Loading 0:  35%|███▍      | 126/363 [00:02<00:05, 47.33it/s]
Loading 0:  36%|███▋      | 132/363 [00:02<00:04, 46.82it/s]
Loading 0:  38%|███▊      | 137/363 [00:02<00:05, 44.96it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 36.31it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:05, 36.39it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 34.58it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 39.88it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:04, 41.75it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 43.53it/s]
Loading 0:  47%|████▋     | 172/363 [00:03<00:04, 43.11it/s]
Loading 0:  49%|████▉     | 177/363 [00:03<00:04, 43.15it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 48.01it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:03, 46.94it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:03, 46.41it/s]
Loading 0:  56%|█████▌    | 202/363 [00:04<00:03, 51.38it/s]
Loading 0:  57%|█████▋    | 208/363 [00:04<00:03, 49.09it/s]
Loading 0:  59%|█████▊    | 213/363 [00:04<00:03, 46.83it/s]
Loading 0:  61%|██████    | 221/363 [00:04<00:02, 54.76it/s]
Loading 0:  63%|██████▎   | 227/363 [00:05<00:03, 36.84it/s]
Loading 0:  64%|██████▍   | 232/363 [00:05<00:03, 36.93it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 40.86it/s]
Loading 0:  67%|██████▋   | 244/363 [00:05<00:02, 41.99it/s]
Loading 0:  69%|██████▊   | 249/363 [00:05<00:02, 42.78it/s]
Loading 0:  70%|███████   | 255/363 [00:05<00:02, 46.80it/s]
Loading 0:  72%|███████▏  | 260/363 [00:05<00:02, 47.59it/s]
Loading 0:  73%|███████▎  | 266/363 [00:05<00:02, 43.28it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:01, 50.59it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:01, 48.35it/s]
Loading 0:  79%|███████▉  | 286/363 [00:06<00:01, 48.53it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 50.39it/s]
Loading 0:  82%|████████▏ | 298/363 [00:06<00:01, 49.08it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:20,  2.89it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:15,  3.61it/s]
Loading 0:  86%|████████▌ | 312/363 [00:13<00:11,  4.60it/s]
Loading 0:  88%|████████▊ | 320/363 [00:13<00:05,  7.46it/s]
Loading 0:  90%|████████▉ | 326/363 [00:13<00:03, 10.02it/s]
Loading 0:  91%|█████████ | 331/363 [00:13<00:02, 12.68it/s]
Loading 0:  93%|█████████▎| 339/363 [00:14<00:01, 17.63it/s]
Loading 0:  96%|█████████▌| 348/363 [00:14<00:00, 23.76it/s]
Loading 0:  98%|█████████▊| 357/363 [00:14<00:00, 29.61it/s]
                                                            

Job randomforest1024-v25-v9-mkmlizer completed after 103.81s with status: succeeded
Stopping job with name randomforest1024-v25-v9-mkmlizer
Pipeline stage MKMLizer completed in 104.31s
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 randomforest1024-v25-v9
Waiting for inference service randomforest1024-v25-v9 to be ready
Inference service randomforest1024-v25-v9 ready after 200.65310144424438s
Pipeline stage MKMLDeployer completed in 201.17s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1272778511047363s
Received healthy response to inference request in 1.7774672508239746s
Received healthy response to inference request in 1.9261596202850342s
Received healthy response to inference request in 1.821364402770996s
Received healthy response to inference request in 1.9158658981323242s
5 requests
0 failed requests
5th percentile: 1.7862466812133788
10th percentile: 1.7950261116027832
20th percentile: 1.8125849723815919
30th percentile: 1.8402647018432616
40th percentile: 1.878065299987793
50th percentile: 1.9158658981323242
60th percentile: 1.9199833869934082
70th percentile: 1.9241008758544922
80th percentile: 1.9663832664489747
90th percentile: 2.0468305587768554
95th percentile: 2.087054204940796
99th percentile: 2.1192331218719485
mean time: 1.9136270046234132
Pipeline stage StressChecker completed in 10.77s
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 0.64s
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 0.63s
Shutdown handler de-registered
randomforest1024-v25_v9 status is now deployed due to DeploymentManager action
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 4616.28s
Shutdown handler de-registered
randomforest1024-v25_v9 status is now inactive due to auto deactivation removed underperforming models
randomforest1024-v25_v9 status is now torndown due to DeploymentManager action
randomforest1024-v25_v9 status is now torndown due to DeploymentManager action
randomforest1024-v25_v9 status is now torndown due to DeploymentManager action