developer_uid: NischayDnk
submission_id: chaiml-tl-users-quality-_8918_v1
model_name: chaiml-tl-users-quality-_8918_v1
model_group: ChaiML/tl-users-quality-
status: torndown
timestamp: 2025-03-28T16:00:05+00:00
num_battles: 7644
num_wins: 3424
celo_rating: 1245.0
family_friendly_score: 0.5958
family_friendly_standard_error: 0.0069400628239231375
submission_type: basic
model_repo: ChaiML/tl-users-quality-sft-org-exp1-1
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3679016943050223, 'latency_mean': 2.7180184853076934, 'latency_p50': 2.740026116371155, 'latency_p90': 3.000503087043762}, {'batch_size': 2, 'throughput': 0.579823061444597, 'latency_mean': 3.442705384492874, 'latency_p50': 3.437554121017456, 'latency_p90': 3.816022491455078}, {'batch_size': 3, 'throughput': 0.7322996496772816, 'latency_mean': 4.07460107922554, 'latency_p50': 4.068415641784668, 'latency_p90': 4.533817958831787}, {'batch_size': 4, 'throughput': 0.841635622148085, 'latency_mean': 4.726351014375687, 'latency_p50': 4.749781250953674, 'latency_p90': 5.25130684375763}, {'batch_size': 5, 'throughput': 0.9348467010674828, 'latency_mean': 5.327767775058747, 'latency_p50': 5.299075603485107, 'latency_p90': 6.006220817565918}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-tl-users-quality-_8918_v1
is_internal_developer: False
language_model: ChaiML/tl-users-quality-sft-org-exp1-1
model_size: 24B
ranking_group: single
throughput_3p7s: 0.65
us_pacific_date: 2025-03-28
win_ratio: 0.4479330193615908
generation_params: {'temperature': 0.45, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 40, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{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 chaiml-tl-users-quality-8918-v1-mkmlizer
Waiting for job on chaiml-tl-users-quality-8918-v1-mkmlizer to finish
chaiml-tl-users-quality-8918-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ _____ __ __ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ /___/ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ Version: 0.12.8 ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ belonging to: ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ║ ║
chaiml-tl-users-quality-8918-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-tl-users-quality-8918-v1-mkmlizer: Downloaded to shared memory in 74.529s
chaiml-tl-users-quality-8918-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpywjzh_d_, device:0
chaiml-tl-users-quality-8918-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-tl-users-quality-8918-v1-mkmlizer: quantized model in 53.172s
chaiml-tl-users-quality-8918-v1-mkmlizer: Processed model ChaiML/tl-users-quality-sft-org-exp1-1 in 127.702s
chaiml-tl-users-quality-8918-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-tl-users-quality-8918-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-tl-users-quality-8918-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1
chaiml-tl-users-quality-8918-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1/config.json
chaiml-tl-users-quality-8918-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1/special_tokens_map.json
chaiml-tl-users-quality-8918-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1/tokenizer_config.json
chaiml-tl-users-quality-8918-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1/tokenizer.json
chaiml-tl-users-quality-8918-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1/flywheel_model.1.safetensors
chaiml-tl-users-quality-8918-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-tl-users-quality-8918-v1/flywheel_model.0.safetensors
chaiml-tl-users-quality-8918-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 4/363 [00:00<00:08, 39.94it/s] Loading 0: 2%|▏ | 8/363 [00:00<00:11, 30.77it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:10, 33.01it/s] Loading 0: 4%|▍ | 16/363 [00:00<00:11, 29.46it/s] Loading 0: 6%|▌ | 21/363 [00:00<00:09, 34.71it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:10, 31.07it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:08, 38.19it/s] Loading 0: 10%|▉ | 36/363 [00:01<00:14, 22.55it/s] Loading 0: 11%|█ | 40/363 [00:01<00:12, 25.17it/s] Loading 0: 12%|█▏ | 44/363 [00:01<00:12, 26.46it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:10, 28.81it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:11, 27.48it/s] Loading 0: 16%|█▌ | 57/363 [00:01<00:09, 30.94it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:10, 28.78it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:10, 29.33it/s] Loading 0: 19%|█▉ | 70/363 [00:02<00:11, 26.40it/s] Loading 0: 20%|██ | 73/363 [00:02<00:13, 21.56it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:10, 26.82it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:11, 24.45it/s] Loading 0: 24%|██▎ | 86/363 [00:03<00:10, 25.64it/s] Loading 0: 25%|██▍ | 89/363 [00:03<00:10, 26.07it/s] Loading 0: 25%|██▌ | 92/363 [00:03<00:12, 21.14it/s] Loading 0: 27%|██▋ | 99/363 [00:03<00:09, 27.85it/s] Loading 0: 28%|██▊ | 103/363 [00:03<00:09, 26.79it/s] Loading 0: 29%|██▉ | 107/363 [00:03<00:11, 23.20it/s] Loading 0: 31%|███ | 111/363 [00:04<00:09, 26.06it/s] Loading 0: 31%|███▏ | 114/363 [00:04<00:10, 23.35it/s] Loading 0: 33%|███▎ | 120/363 [00:04<00:08, 28.73it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:08, 27.46it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:07, 30.44it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 29.10it/s] Loading 0: 38%|███▊ | 138/363 [00:04<00:07, 31.27it/s] Loading 0: 39%|███▉ | 142/363 [00:05<00:07, 29.04it/s] Loading 0: 41%|████ | 149/363 [00:05<00:06, 34.69it/s] Loading 0: 42%|████▏ | 153/363 [00:05<00:09, 22.16it/s] Loading 0: 43%|████▎ | 157/363 [00:05<00:08, 24.77it/s] Loading 0: 44%|████▍ | 161/363 [00:05<00:07, 25.66it/s] Loading 0: 45%|████▌ | 165/363 [00:06<00:07, 27.61it/s] Loading 0: 47%|████▋ | 169/363 [00:06<00:07, 26.51it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:06, 29.50it/s] Loading 0: 49%|████▉ | 178/363 [00:06<00:06, 28.10it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:06, 28.79it/s] Loading 0: 52%|█████▏ | 187/363 [00:06<00:06, 26.20it/s] Loading 0: 52%|█████▏ | 190/363 [00:07<00:07, 23.85it/s] Loading 0: 53%|█████▎ | 193/363 [00:07<00:06, 24.69it/s] Loading 0: 54%|█████▍ | 196/363 [00:07<00:06, 24.77it/s] Loading 0: 55%|█████▌ | 200/363 [00:21<00:06, 24.77it/s] Loading 0: 55%|█████▌ | 201/363 [00:21<02:58, 1.10s/it] Loading 0: 56%|█████▌ | 203/363 [00:21<02:28, 1.08it/s] Loading 0: 57%|█████▋ | 208/363 [00:21<01:28, 1.74it/s] Loading 0: 58%|█████▊ | 211/363 [00:21<01:08, 2.23it/s] Loading 0: 59%|█████▉ | 214/363 [00:22<00:50, 2.93it/s] Loading 0: 60%|██████ | 218/363 [00:22<00:34, 4.20it/s] Loading 0: 61%|██████ | 221/363 [00:22<00:26, 5.38it/s] Loading 0: 62%|██████▏ | 224/363 [00:22<00:21, 6.51it/s] Loading 0: 63%|██████▎ | 228/363 [00:22<00:14, 9.12it/s] Loading 0: 64%|██████▎ | 231/363 [00:22<00:12, 10.59it/s] Loading 0: 65%|██████▌ | 237/363 [00:22<00:08, 15.73it/s] Loading 0: 66%|██████▋ | 241/363 [00:23<00:06, 17.74it/s] Loading 0: 68%|██████▊ | 246/363 [00:23<00:05, 21.85it/s] Loading 0: 69%|██████▉ | 250/363 [00:23<00:05, 22.33it/s] Loading 0: 70%|███████ | 255/363 [00:23<00:04, 25.65it/s] Loading 0: 71%|███████▏ | 259/363 [00:23<00:04, 24.72it/s] Loading 0: 72%|███████▏ | 262/363 [00:23<00:04, 24.96it/s] Loading 0: 74%|███████▎ | 267/363 [00:24<00:04, 22.25it/s] Loading 0: 74%|███████▍ | 270/363 [00:24<00:04, 19.59it/s] Loading 0: 75%|███████▌ | 274/363 [00:24<00:04, 21.95it/s] Loading 0: 76%|███████▋ | 277/363 [00:24<00:03, 22.56it/s] Loading 0: 78%|███████▊ | 282/363 [00:24<00:03, 26.20it/s] Loading 0: 79%|███████▊ | 285/363 [00:24<00:03, 23.84it/s] Loading 0: 80%|████████ | 291/363 [00:25<00:02, 29.05it/s] Loading 0: 81%|████████▏ | 295/363 [00:25<00:02, 27.44it/s] Loading 0: 82%|████████▏ | 299/363 [00:25<00:02, 27.90it/s] Loading 0: 84%|████████▎ | 304/363 [00:25<00:02, 25.19it/s] Loading 0: 85%|████████▍ | 307/363 [00:25<00:02, 23.05it/s] Loading 0: 85%|████████▌ | 310/363 [00:25<00:02, 23.74it/s] Loading 0: 86%|████████▌ | 313/363 [00:25<00:02, 24.13it/s] Loading 0: 88%|████████▊ | 318/363 [00:26<00:01, 27.22it/s] Loading 0: 88%|████████▊ | 321/363 [00:26<00:01, 24.23it/s] Loading 0: 90%|█████████ | 327/363 [00:26<00:01, 29.57it/s] Loading 0: 91%|█████████ | 331/363 [00:26<00:01, 27.07it/s] Loading 0: 92%|█████████▏| 335/363 [00:26<00:01, 27.22it/s] Loading 0: 93%|█████████▎| 338/363 [00:26<00:00, 25.86it/s] Loading 0: 94%|█████████▍| 341/363 [00:33<00:13, 1.67it/s] Loading 0: 96%|█████████▌| 347/363 [00:33<00:05, 2.78it/s] Loading 0: 96%|█████████▋| 350/363 [00:33<00:03, 3.50it/s] Loading 0: 98%|█████████▊| 355/363 [00:34<00:01, 5.21it/s] Loading 0: 99%|█████████▉| 359/363 [00:34<00:00, 6.69it/s]
Job chaiml-tl-users-quality-8918-v1-mkmlizer completed after 157.21s with status: succeeded
Stopping job with name chaiml-tl-users-quality-8918-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.93s
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 chaiml-tl-users-quality-8918-v1
Waiting for inference service chaiml-tl-users-quality-8918-v1 to be ready
Inference service chaiml-tl-users-quality-8918-v1 ready after 110.70700287818909s
Pipeline stage MKMLDeployer completed in 111.30s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.279818296432495s
Received healthy response to inference request in 2.581254243850708s
Received healthy response to inference request in 1.6645817756652832s
Received healthy response to inference request in 1.5857048034667969s
Received healthy response to inference request in 1.6729986667633057s
5 requests
0 failed requests
5th percentile: 1.601480197906494
10th percentile: 1.6172555923461913
20th percentile: 1.648806381225586
30th percentile: 1.6662651538848876
40th percentile: 1.6696319103240966
50th percentile: 1.6729986667633057
60th percentile: 2.0363008975982666
70th percentile: 2.3996031284332275
80th percentile: 2.7209670543670654
90th percentile: 3.0003926753997803
95th percentile: 3.1401054859161377
99th percentile: 3.2518757343292237
mean time: 2.1568715572357178
Pipeline stage StressChecker completed in 12.10s
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 0.82s
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 0.70s
Shutdown handler de-registered
chaiml-tl-users-quality-_8918_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 chaiml-tl-users-quality-8918-v1-profiler
Waiting for inference service chaiml-tl-users-quality-8918-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 5419.66s
Shutdown handler de-registered
chaiml-tl-users-quality-_8918_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-tl-users-quality-_8918_v1 status is now torndown due to DeploymentManager action