randomforest1024-v25

developer_uid: RandomForest1024
submission_id: randomforest1024-v25_v1
model_name: randomforest1024-v25_v1
model_group: RandomForest1024/V25
status: torndown
timestamp: 2025-02-10T15:48:47+00:00
num_battles: 11804
num_wins: 5548
celo_rating: 1242.73
family_friendly_score: 0.5873999999999999
family_friendly_standard_error: 0.006962201376001702
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_v1
is_internal_developer: False
language_model: RandomForest1024/V25
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-10
win_ratio: 0.47001016604540835
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': ['\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-v1-mkmlizer
Waiting for job on randomforest1024-v25-v1-mkmlizer to finish
randomforest1024-v25-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
randomforest1024-v25-v1-mkmlizer: ║     _____            __           __                                ║
randomforest1024-v25-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
randomforest1024-v25-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
randomforest1024-v25-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
randomforest1024-v25-v1-mkmlizer: ║       /___/                                                         ║
randomforest1024-v25-v1-mkmlizer: ║                                                                     ║
randomforest1024-v25-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
randomforest1024-v25-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
randomforest1024-v25-v1-mkmlizer: ║  https://mk1.ai                                                     ║
randomforest1024-v25-v1-mkmlizer: ║                                                                     ║
randomforest1024-v25-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
randomforest1024-v25-v1-mkmlizer: ║  belonging to:                                                      ║
randomforest1024-v25-v1-mkmlizer: ║                                                                     ║
randomforest1024-v25-v1-mkmlizer: ║  Chai Research Corp.                                                ║
randomforest1024-v25-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
randomforest1024-v25-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
randomforest1024-v25-v1-mkmlizer: ║                                                                     ║
randomforest1024-v25-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
randomforest1024-v25-v1-mkmlizer: Downloaded to shared memory in 50.523s
randomforest1024-v25-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2g6e2jt0, device:0
randomforest1024-v25-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
randomforest1024-v25-v1-mkmlizer: quantized model in 35.874s
randomforest1024-v25-v1-mkmlizer: Processed model RandomForest1024/V25 in 86.398s
randomforest1024-v25-v1-mkmlizer: creating bucket guanaco-mkml-models
randomforest1024-v25-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
randomforest1024-v25-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/randomforest1024-v25-v1
randomforest1024-v25-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/randomforest1024-v25-v1/special_tokens_map.json
randomforest1024-v25-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/randomforest1024-v25-v1/config.json
randomforest1024-v25-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/randomforest1024-v25-v1/tokenizer_config.json
randomforest1024-v25-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/randomforest1024-v25-v1/tokenizer.json
randomforest1024-v25-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/randomforest1024-v25-v1/flywheel_model.0.safetensors
randomforest1024-v25-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:11, 30.82it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:06, 52.10it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 45.52it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 43.13it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 50.62it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 49.26it/s]
Loading 0:  12%|█▏        | 43/363 [00:00<00:06, 50.65it/s]
Loading 0:  13%|█▎        | 49/363 [00:00<00:05, 53.03it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 51.10it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:07, 39.15it/s]
Loading 0:  18%|█▊        | 66/363 [00:01<00:07, 38.88it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:06, 43.13it/s]
Loading 0:  21%|██▏       | 78/363 [00:01<00:06, 43.42it/s]
Loading 0:  23%|██▎       | 83/363 [00:01<00:06, 43.91it/s]
Loading 0:  25%|██▍       | 90/363 [00:01<00:05, 49.29it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 47.61it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:05, 46.13it/s]
Loading 0:  30%|███       | 109/363 [00:02<00:04, 54.66it/s]
Loading 0:  32%|███▏      | 115/363 [00:02<00:05, 48.09it/s]
Loading 0:  33%|███▎      | 121/363 [00:02<00:05, 45.70it/s]
Loading 0:  35%|███▍      | 126/363 [00:02<00:05, 44.69it/s]
Loading 0:  36%|███▋      | 132/363 [00:02<00:05, 44.65it/s]
Loading 0:  38%|███▊      | 137/363 [00:02<00:05, 44.14it/s]
Loading 0:  39%|███▉      | 142/363 [00:03<00:06, 35.15it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:06, 35.43it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:06, 35.12it/s]
Loading 0:  43%|████▎     | 156/363 [00:03<00:05, 40.51it/s]
Loading 0:  44%|████▍     | 161/363 [00:03<00:04, 42.09it/s]
Loading 0:  46%|████▌     | 166/363 [00:03<00:04, 42.85it/s]
Loading 0:  47%|████▋     | 172/363 [00:03<00:04, 43.09it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 43.22it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 47.46it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:04, 43.02it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:04, 41.35it/s]
Loading 0:  56%|█████▌    | 202/363 [00:04<00:03, 46.33it/s]
Loading 0:  57%|█████▋    | 208/363 [00:04<00:03, 43.88it/s]
Loading 0:  59%|█████▊    | 213/363 [00:04<00:03, 43.15it/s]
Loading 0:  61%|██████    | 220/363 [00:04<00:02, 49.56it/s]
Loading 0:  62%|██████▏   | 226/363 [00:05<00:04, 33.90it/s]
Loading 0:  64%|██████▎   | 231/363 [00:05<00:03, 35.43it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 40.92it/s]
Loading 0:  67%|██████▋   | 243/363 [00:05<00:02, 40.78it/s]
Loading 0:  68%|██████▊   | 248/363 [00:05<00:03, 35.11it/s]
Loading 0:  71%|███████   | 256/363 [00:05<00:02, 42.90it/s]
Loading 0:  72%|███████▏  | 262/363 [00:06<00:02, 42.30it/s]
Loading 0:  74%|███████▎  | 267/363 [00:06<00:02, 41.83it/s]
Loading 0:  75%|███████▍  | 272/363 [00:06<00:02, 41.58it/s]
Loading 0:  76%|███████▋  | 277/363 [00:06<00:02, 38.48it/s]
Loading 0:  78%|███████▊  | 282/363 [00:06<00:02, 37.39it/s]
Loading 0:  79%|███████▉  | 286/363 [00:06<00:02, 36.44it/s]
Loading 0:  80%|████████  | 291/363 [00:06<00:01, 37.95it/s]
Loading 0:  81%|████████▏ | 295/363 [00:06<00:01, 36.06it/s]
Loading 0:  82%|████████▏ | 299/363 [00:07<00:01, 34.96it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:27,  2.17it/s]
Loading 0:  85%|████████▍ | 307/363 [00:14<00:20,  2.71it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:12,  3.99it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:06,  6.81it/s]
Loading 0:  90%|████████▉ | 325/363 [00:14<00:04,  8.97it/s]
Loading 0:  91%|█████████ | 330/363 [00:14<00:02, 11.22it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 16.98it/s]
Loading 0:  95%|█████████▍| 344/363 [00:14<00:00, 20.97it/s]
Loading 0:  96%|█████████▋| 350/363 [00:14<00:00, 25.72it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 31.00it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 34.52it/s]
                                                            
Job randomforest1024-v25-v1-mkmlizer completed after 114.46s with status: succeeded
Stopping job with name randomforest1024-v25-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.96s
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 randomforest1024-v25-v1
Waiting for inference service randomforest1024-v25-v1 to be ready
Inference service randomforest1024-v25-v1 ready after 190.72492790222168s
Pipeline stage MKMLDeployer completed in 191.26s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0742788314819336s
Received healthy response to inference request in 1.6809372901916504s
Received healthy response to inference request in 1.7433934211730957s
Received healthy response to inference request in 1.6766729354858398s
Received healthy response to inference request in 1.684814453125s
5 requests
0 failed requests
5th percentile: 1.677525806427002
10th percentile: 1.6783786773681642
20th percentile: 1.6800844192504882
30th percentile: 1.6817127227783204
40th percentile: 1.6832635879516602
50th percentile: 1.684814453125
60th percentile: 1.7082460403442383
70th percentile: 1.7316776275634767
80th percentile: 1.8095705032348632
90th percentile: 1.9419246673583985
95th percentile: 2.008101749420166
99th percentile: 2.06104341506958
mean time: 1.772019386291504
Pipeline stage StressChecker completed in 10.24s
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 0.79s
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
randomforest1024-v25_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 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service randomforest1024-v25-v1-profiler
Waiting for inference service randomforest1024-v25-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4626.10s
Shutdown handler de-registered
randomforest1024-v25_v1 status is now inactive due to auto deactivation removed underperforming models
randomforest1024-v25_v1 status is now torndown due to DeploymentManager action
randomforest1024-v25_v1 status is now torndown due to DeploymentManager action
randomforest1024-v25_v1 status is now torndown due to DeploymentManager action