developer_uid: bogoconic1
submission_id: chaiml-gy-exp87-sftlora_36353_v1
model_name: chaiml-gy-exp87-sftlora_36353_v1
model_group: ChaiML/gy-exp87-sftlora-
status: torndown
timestamp: 2025-07-05T21:17:09+00:00
num_battles: 8811
num_wins: 4637
celo_rating: 1306.43
family_friendly_score: 0.5206
family_friendly_standard_error: 0.007065063906292709
submission_type: basic
model_repo: ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep20
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': 0.4855772249126677, 'latency_mean': 2.0592264223098753, 'latency_p50': 2.033108711242676, 'latency_p90': 2.2750267028808593}, {'batch_size': 3, 'throughput': 0.9460113668289641, 'latency_mean': 3.154645273685455, 'latency_p50': 3.153544783592224, 'latency_p90': 3.5116013526916503}, {'batch_size': 5, 'throughput': 1.1552618673217399, 'latency_mean': 4.29438058257103, 'latency_p50': 4.325224876403809, 'latency_p90': 4.786095404624939}, {'batch_size': 6, 'throughput': 1.271422881446242, 'latency_mean': 4.6899074208736415, 'latency_p50': 4.6832627058029175, 'latency_p90': 5.25751097202301}, {'batch_size': 8, 'throughput': 1.3817891033963916, 'latency_mean': 5.747377723455429, 'latency_p50': 5.738655686378479, 'latency_p90': 6.459595394134522}, {'batch_size': 10, 'throughput': 1.427587442931997, 'latency_mean': 6.942833812236786, 'latency_p50': 6.974850296974182, 'latency_p90': 7.803822159767151}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp87-sftlora_36353_v1
is_internal_developer: False
language_model: ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep20
model_size: 24B
ranking_group: single
throughput_3p7s: 1.07
us_pacific_date: 2025-07-05
win_ratio: 0.5262739757121779
generation_params: {'temperature': 0.6, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 60, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['<|im_start|>', '<|im_end|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': True}
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-gy-exp87-sftlora-36353-v1-mkmlizer
Waiting for job on chaiml-gy-exp87-sftlora-36353-v1-mkmlizer to finish
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ║ ║
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: Downloaded to shared memory in 107.258s
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: Checking if ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep20 already exists in ChaiML
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcsms6cjs, device:0
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: quantized model in 94.121s
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: Processed model ChaiML/gy-exp87-sftlora-gy-datamix-v1-bo8-ep20 in 201.381s
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia/config.json
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia/special_tokens_map.json
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia/tokenizer_config.json
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia/tokenizer.json
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp87-sftlora-36353-v1/nvidia/flywheel_model.0.safetensors
chaiml-gy-exp87-sftlora-36353-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 3/363 [00:00<00:12, 27.74it/s] Loading 0: 2%|▏ | 6/363 [00:00<00:29, 11.92it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:20, 17.12it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:19, 18.15it/s] Loading 0: 4%|▍ | 16/363 [00:00<00:21, 16.44it/s] Loading 0: 5%|▌ | 19/363 [00:01<00:19, 17.79it/s] Loading 0: 6%|▌ | 22/363 [00:01<00:19, 17.70it/s] Loading 0: 7%|▋ | 24/363 [00:01<00:22, 15.40it/s] Loading 0: 8%|▊ | 28/363 [00:01<00:17, 18.65it/s] Loading 0: 9%|▉ | 32/363 [00:01<00:15, 21.75it/s] Loading 0: 10%|▉ | 35/363 [00:02<00:26, 12.17it/s] Loading 0: 10%|█ | 37/363 [00:02<00:27, 11.94it/s] Loading 0: 11%|█ | 40/363 [00:02<00:24, 13.36it/s] Loading 0: 12%|█▏ | 42/363 [00:02<00:25, 12.63it/s] Loading 0: 13%|█▎ | 46/363 [00:02<00:19, 15.91it/s] Loading 0: 13%|█▎ | 49/363 [00:03<00:18, 16.91it/s] Loading 0: 14%|█▍ | 51/363 [00:03<00:21, 14.72it/s] Loading 0: 15%|█▌ | 55/363 [00:03<00:17, 18.03it/s] Loading 0: 16%|█▌ | 57/363 [00:03<00:17, 17.88it/s] Loading 0: 16%|█▋ | 59/363 [00:03<00:22, 13.49it/s] Loading 0: 18%|█▊ | 64/363 [00:03<00:16, 18.63it/s] Loading 0: 18%|█▊ | 67/363 [00:04<00:14, 19.87it/s] Loading 0: 19%|█▉ | 70/363 [00:04<00:24, 12.09it/s] Loading 0: 20%|█▉ | 72/363 [00:04<00:24, 11.70it/s] Loading 0: 20%|██ | 74/363 [00:04<00:26, 11.00it/s] Loading 0: 21%|██▏ | 78/363 [00:05<00:20, 13.91it/s] Loading 0: 22%|██▏ | 80/363 [00:05<00:25, 11.13it/s] Loading 0: 23%|██▎ | 84/363 [00:05<00:18, 14.77it/s] Loading 0: 24%|██▍ | 87/363 [00:05<00:20, 13.47it/s] Loading 0: 25%|██▍ | 90/363 [00:05<00:17, 15.65it/s] Loading 0: 25%|██▌ | 92/363 [00:06<00:20, 13.37it/s] Loading 0: 27%|██▋ | 97/363 [00:06<00:14, 18.17it/s] Loading 0: 28%|██▊ | 100/363 [00:06<00:14, 17.73it/s] Loading 0: 28%|██▊ | 102/363 [00:06<00:16, 16.12it/s] Loading 0: 29%|██▉ | 106/363 [00:06<00:13, 18.98it/s] Loading 0: 30%|███ | 109/363 [00:07<00:18, 13.78it/s] Loading 0: 31%|███ | 112/363 [00:07<00:17, 14.73it/s] Loading 0: 31%|███▏ | 114/363 [00:07<00:18, 13.40it/s] Loading 0: 33%|███▎ | 118/363 [00:07<00:14, 16.76it/s] Loading 0: 33%|███▎ | 121/363 [00:07<00:14, 16.25it/s] Loading 0: 34%|███▍ | 123/363 [00:08<00:17, 13.91it/s] Loading 0: 35%|███▍ | 127/363 [00:08<00:13, 17.11it/s] Loading 0: 36%|███▌ | 130/363 [00:08<00:13, 17.13it/s] Loading 0: 36%|███▋ | 132/363 [00:08<00:15, 14.54it/s] Loading 0: 37%|███▋ | 136/363 [00:08<00:12, 17.69it/s] Loading 0: 38%|███▊ | 139/363 [00:09<00:12, 17.81it/s] Loading 0: 39%|███▉ | 141/363 [00:09<00:14, 15.39it/s] Loading 0: 40%|███▉ | 145/363 [00:09<00:12, 17.89it/s] Loading 0: 41%|████ | 149/363 [00:09<00:10, 20.06it/s] Loading 0: 42%|████▏ | 152/363 [00:10<00:17, 12.32it/s] Loading 0: 42%|████▏ | 154/363 [00:10<00:18, 11.33it/s] Loading 0: 43%|████▎ | 157/363 [00:10<00:15, 13.15it/s] Loading 0: 44%|████▍ | 159/363 [00:10<00:17, 11.78it/s] Loading 0: 45%|████▍ | 163/363 [00:10<00:12, 15.66it/s] Loading 0: 45%|████▌ | 165/363 [00:10<00:12, 16.25it/s] Loading 0: 46%|████▌ | 167/363 [00:11<00:16, 11.73it/s] Loading 0: 47%|████▋ | 172/363 [00:11<00:11, 17.03it/s] Loading 0: 48%|████▊ | 175/363 [00:11<00:10, 17.31it/s] Loading 0: 49%|████▉ | 178/363 [00:11<00:11, 16.81it/s] Loading 0: 50%|████▉ | 181/363 [00:11<00:10, 17.07it/s] Loading 0: 51%|█████ | 185/363 [00:11<00:08, 21.22it/s] Loading 0: 52%|█████▏ | 188/363 [00:12<00:14, 11.96it/s] Loading 0: 52%|█████▏ | 190/363 [00:12<00:15, 10.98it/s] Loading 0: 53%|█████▎ | 192/363 [00:12<00:14, 12.12it/s] Loading 0: 53%|█████▎ | 194/363 [00:13<00:16, 10.08it/s] Loading 0: 55%|█████▍ | 199/363 [00:13<00:11, 14.68it/s] Loading 0: 55%|█████▌ | 200/363 [00:30<00:11, 14.68it/s] Loading 0: 55%|█████▌ | 201/363 [00:41<08:05, 3.00s/it] Loading 0: 56%|█████▌ | 203/363 [00:41<06:14, 2.34s/it] Loading 0: 57%|█████▋ | 208/363 [00:41<03:20, 1.30s/it] Loading 0: 58%|█████▊ | 210/363 [00:41<02:40, 1.05s/it] Loading 0: 58%|█████▊ | 212/363 [00:42<02:07, 1.19it/s] Loading 0: 60%|█████▉ | 217/363 [00:42<01:09, 2.10it/s] Loading 0: 61%|██████ | 220/363 [00:42<00:52, 2.71it/s] Loading 0: 61%|██████▏ | 223/363 [00:42<00:38, 3.60it/s] Loading 0: 62%|██████▏ | 225/363 [00:43<00:35, 3.90it/s] Loading 0: 63%|██████▎ | 229/363 [00:43<00:23, 5.66it/s] Loading 0: 64%|██████▎ | 231/363 [00:43<00:21, 6.24it/s] Loading 0: 65%|██████▍ | 235/363 [00:43<00:14, 8.85it/s] Loading 0: 66%|██████▌ | 238/363 [00:43<00:12, 10.29it/s] Loading 0: 66%|██████▌ | 240/363 [00:43<00:11, 10.45it/s] Loading 0: 67%|██████▋ | 244/363 [00:44<00:08, 13.91it/s] Loading 0: 68%|██████▊ | 247/363 [00:44<00:07, 14.79it/s] Loading 0: 69%|██████▊ | 249/363 [00:44<00:08, 13.82it/s] Loading 0: 70%|██████▉ | 253/363 [00:44<00:06, 17.52it/s] Loading 0: 71%|███████ | 256/363 [00:44<00:06, 16.45it/s] Loading 0: 71%|███████ | 258/363 [00:44<00:07, 14.57it/s] Loading 0: 72%|███████▏ | 262/363 [00:45<00:05, 17.53it/s] Loading 0: 73%|███████▎ | 266/363 [00:45<00:04, 20.31it/s] Loading 0: 74%|███████▍ | 269/363 [00:45<00:07, 13.10it/s] Loading 0: 75%|███████▍ | 271/363 [00:45<00:07, 12.78it/s] Loading 0: 75%|███████▌ | 274/363 [00:45<00:06, 13.86it/s] Loading 0: 76%|███████▌ | 276/363 [00:46<00:07, 12.42it/s] Loading 0: 77%|███████▋ | 280/363 [00:46<00:05, 14.44it/s] Loading 0: 78%|███████▊ | 283/363 [00:46<00:05, 15.69it/s] Loading 0: 79%|███████▊ | 285/363 [00:46<00:05, 14.26it/s] Loading 0: 80%|███████▉ | 289/363 [00:46<00:04, 17.61it/s] Loading 0: 80%|████████ | 292/363 [00:47<00:04, 17.03it/s] Loading 0: 81%|████████ | 294/363 [00:47<00:04, 15.37it/s] Loading 0: 82%|████████▏ | 298/363 [00:47<00:03, 18.45it/s] Loading 0: 83%|████████▎ | 300/363 [00:47<00:03, 18.38it/s] Loading 0: 83%|████████▎ | 303/363 [00:47<00:03, 19.48it/s] Loading 0: 84%|████████▍ | 306/363 [00:48<00:05, 10.34it/s] Loading 0: 85%|████████▌ | 310/363 [00:48<00:04, 13.21it/s] Loading 0: 86%|████████▌ | 312/363 [00:48<00:04, 12.72it/s] Loading 0: 87%|████████▋ | 316/363 [00:48<00:02, 15.97it/s] Loading 0: 88%|████████▊ | 319/363 [00:48<00:02, 17.01it/s] Loading 0: 88%|████████▊ | 321/363 [00:49<00:02, 15.47it/s] Loading 0: 90%|████████▉ | 325/363 [00:49<00:02, 18.74it/s] Loading 0: 90%|█████████ | 328/363 [00:49<00:01, 18.25it/s] Loading 0: 91%|█████████ | 330/363 [00:49<00:02, 15.88it/s] Loading 0: 92%|█████████▏| 334/363 [00:49<00:01, 19.87it/s] Loading 0: 93%|█████████▎| 337/363 [00:49<00:01, 16.78it/s] Loading 0: 94%|█████████▎| 340/363 [00:50<00:01, 18.62it/s] Loading 0: 94%|█████████▍| 343/363 [00:50<00:02, 9.02it/s] Loading 0: 96%|█████████▌| 347/363 [00:50<00:01, 11.47it/s] Loading 0: 96%|█████████▌| 349/363 [00:51<00:01, 10.23it/s] Loading 0: 97%|█████████▋| 353/363 [00:51<00:00, 12.45it/s] Loading 0: 98%|█████████▊| 356/363 [00:51<00:00, 13.93it/s] Loading 0: 99%|█████████▊| 358/363 [00:51<00:00, 12.87it/s] Loading 0: 100%|█████████▉| 362/363 [00:51<00:00, 16.32it/s]
Job chaiml-gy-exp87-sftlora-36353-v1-mkmlizer completed after 250.49s with status: succeeded
Stopping job with name chaiml-gy-exp87-sftlora-36353-v1-mkmlizer
Pipeline stage MKMLizer completed in 251.02s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp87-sftlora-36353-v1
Waiting for inference service chaiml-gy-exp87-sftlora-36353-v1 to be ready
Inference service chaiml-gy-exp87-sftlora-36353-v1 ready after 201.87815260887146s
Pipeline stage MKMLDeployer completed in 202.71s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5951387882232666s
Received healthy response to inference request in 2.0118801593780518s
Received healthy response to inference request in 2.06481671333313s
Received healthy response to inference request in 2.125270128250122s
Received healthy response to inference request in 1.8901419639587402s
5 requests
0 failed requests
5th percentile: 1.9144896030426026
10th percentile: 1.9388372421264648
20th percentile: 1.9875325202941894
30th percentile: 2.0224674701690675
40th percentile: 2.0436420917510985
50th percentile: 2.06481671333313
60th percentile: 2.0889980792999268
70th percentile: 2.1131794452667236
80th percentile: 2.219243860244751
90th percentile: 2.4071913242340086
95th percentile: 2.5011650562286376
99th percentile: 2.5763440418243406
mean time: 2.137449550628662
Pipeline stage StressChecker completed in 12.25s
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 0.61s
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 0.67s
Shutdown handler de-registered
chaiml-gy-exp87-sftlora_36353_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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-gy-exp87-sftlora-36353-v1-profiler
Waiting for inference service chaiml-gy-exp87-sftlora-36353-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3372.74s
Shutdown handler de-registered
chaiml-gy-exp87-sftlora_36353_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp87-sftlora_36353_v1 status is now torndown due to DeploymentManager action