developer_uid: bogoconic1
submission_id: chaiml-gy-exp169-sft-gy_66063_v2
model_name: chaiml-gy-exp169-sft-gy_66063_v2
model_group: ChaiML/gy-exp169-sft-gy-
status: torndown
timestamp: 2025-07-15T18:28:29+00:00
num_battles: 11367
num_wins: 5824
celo_rating: 1300.27
family_friendly_score: 0.5278
family_friendly_standard_error: 0.007060129743850322
submission_type: basic
model_repo: ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-ep2
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': 0.5224599837021988, 'latency_mean': 1.9139201819896698, 'latency_p50': 1.8988265991210938, 'latency_p90': 2.1322185039520263}, {'batch_size': 3, 'throughput': 1.047239803172237, 'latency_mean': 2.8439771831035614, 'latency_p50': 2.8511643409729004, 'latency_p90': 3.093751621246338}, {'batch_size': 5, 'throughput': 1.331817394257156, 'latency_mean': 3.721777731180191, 'latency_p50': 3.7263766527175903, 'latency_p90': 4.151383924484253}, {'batch_size': 6, 'throughput': 1.4444345842698985, 'latency_mean': 4.123696839809417, 'latency_p50': 4.144839525222778, 'latency_p90': 4.663184928894043}, {'batch_size': 8, 'throughput': 1.5696500160201974, 'latency_mean': 5.055022211074829, 'latency_p50': 5.086634397506714, 'latency_p90': 5.75174355506897}, {'batch_size': 10, 'throughput': 1.6638593026396762, 'latency_mean': 5.95409569144249, 'latency_p50': 5.949011445045471, 'latency_p90': 6.736098194122315}]
gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}
display_name: chaiml-gy-exp169-sft-gy_66063_v2
is_internal_developer: False
language_model: ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-ep2
model_size: 24B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-07-15
win_ratio: 0.5123603413389637
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|>', '\n', '<|im_end|>'], '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-exp169-sft-gy-66063-v2-mkmlizer
Waiting for job on chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer to finish
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ Version: 0.29.15 ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ belonging to: ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ║ ║
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: Downloaded to shared memory in 61.271s
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: Checking if ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-ep2 already exists in ChaiML
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjryxhloq, device:0
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: quantized model in 48.926s
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: Processed model ChaiML/gy-exp169-sft-gy-datamix-v1-MM3-AR-ep2 in 110.198s
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia/config.json
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia/special_tokens_map.json
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia/tokenizer_config.json
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia/tokenizer.json
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia/flywheel_model.1.safetensors
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp169-sft-gy-66063-v2/nvidia/flywheel_model.0.safetensors
chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%| | 4/363 [00:00<00:09, 37.54it/s] Loading 0: 2%|▏ | 8/363 [00:00<00:12, 29.12it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:11, 31.43it/s] Loading 0: 4%|▍ | 16/363 [00:00<00:12, 26.88it/s] Loading 0: 6%|▌ | 21/363 [00:00<00:10, 31.12it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:12, 28.03it/s] Loading 0: 9%|▉ | 32/363 [00:01<00:09, 34.64it/s] Loading 0: 10%|▉ | 36/363 [00:01<00:16, 20.32it/s] Loading 0: 11%|█ | 40/363 [00:01<00:14, 22.90it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:13, 23.29it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:11, 26.78it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:11, 25.96it/s] Loading 0: 16%|█▌ | 57/363 [00:02<00:10, 28.03it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:11, 26.42it/s] Loading 0: 18%|█▊ | 65/363 [00:02<00:10, 27.29it/s] Loading 0: 19%|█▉ | 70/363 [00:02<00:12, 24.26it/s] Loading 0: 20%|██ | 73/363 [00:02<00:14, 20.66it/s] Loading 0: 22%|██▏ | 79/363 [00:03<00:10, 26.03it/s] Loading 0: 23%|██▎ | 82/363 [00:03<00:11, 25.04it/s] Loading 0: 24%|██▎ | 86/363 [00:03<00:10, 25.47it/s] Loading 0: 25%|██▍ | 89/363 [00:03<00:10, 25.72it/s] Loading 0: 25%|██▌ | 92/363 [00:03<00:13, 20.55it/s] Loading 0: 27%|██▋ | 99/363 [00:03<00:09, 27.23it/s] Loading 0: 28%|██▊ | 102/363 [00:03<00:10, 24.55it/s] Loading 0: 29%|██▉ | 107/363 [00:04<00:11, 22.27it/s] Loading 0: 31%|███ | 111/363 [00:04<00:10, 24.89it/s] Loading 0: 31%|███▏ | 114/363 [00:04<00:10, 22.69it/s] Loading 0: 33%|███▎ | 118/363 [00:04<00:09, 25.94it/s] Loading 0: 33%|███▎ | 121/363 [00:04<00:09, 26.30it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:09, 26.27it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:07, 29.29it/s] Loading 0: 37%|███▋ | 133/363 [00:05<00:08, 27.23it/s] Loading 0: 38%|███▊ | 138/363 [00:05<00:07, 29.78it/s] Loading 0: 39%|███▉ | 142/363 [00:05<00:07, 27.85it/s] Loading 0: 41%|████ | 148/363 [00:05<00:06, 34.78it/s] Loading 0: 42%|████▏ | 152/363 [00:05<00:09, 22.97it/s] Loading 0: 43%|████▎ | 155/363 [00:06<00:08, 23.38it/s] Loading 0: 44%|████▎ | 158/363 [00:06<00:10, 19.40it/s] Loading 0: 45%|████▌ | 165/363 [00:06<00:07, 26.28it/s] Loading 0: 47%|████▋ | 169/363 [00:06<00:07, 25.44it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:06, 27.58it/s] Loading 0: 49%|████▉ | 177/363 [00:06<00:07, 24.65it/s] Loading 0: 50%|█████ | 182/363 [00:07<00:06, 26.90it/s] Loading 0: 52%|█████▏ | 187/363 [00:07<00:07, 23.92it/s] Loading 0: 52%|█████▏ | 190/363 [00:07<00:07, 22.07it/s] Loading 0: 53%|█████▎ | 193/363 [00:07<00:07, 22.86it/s] Loading 0: 54%|█████▍ | 196/363 [00:07<00:07, 23.12it/s] Loading 0: 55%|█████▌ | 200/363 [00:22<00:07, 23.12it/s] Loading 0: 55%|█████▌ | 201/363 [00:22<03:05, 1.15s/it] Loading 0: 56%|█████▌ | 203/363 [00:22<02:33, 1.04it/s] Loading 0: 57%|█████▋ | 208/363 [00:22<01:32, 1.67it/s] Loading 0: 58%|█████▊ | 211/363 [00:23<01:11, 2.13it/s] Loading 0: 59%|█████▉ | 214/363 [00:23<00:53, 2.80it/s] Loading 0: 60%|██████ | 218/363 [00:23<00:36, 3.98it/s] Loading 0: 61%|██████ | 221/363 [00:23<00:28, 5.06it/s] Loading 0: 62%|██████▏ | 224/363 [00:23<00:23, 6.02it/s] Loading 0: 63%|██████▎ | 228/363 [00:23<00:15, 8.47it/s] Loading 0: 64%|██████▎ | 231/363 [00:24<00:13, 9.80it/s] Loading 0: 65%|██████▌ | 237/363 [00:24<00:08, 14.56it/s] Loading 0: 66%|██████▌ | 240/363 [00:24<00:07, 15.39it/s] Loading 0: 68%|██████▊ | 246/363 [00:24<00:05, 20.69it/s] Loading 0: 69%|██████▉ | 250/363 [00:24<00:05, 21.00it/s] Loading 0: 70%|███████ | 255/363 [00:24<00:04, 23.94it/s] Loading 0: 71%|███████ | 258/363 [00:25<00:04, 22.11it/s] Loading 0: 73%|███████▎ | 264/363 [00:25<00:03, 29.02it/s] Loading 0: 74%|███████▍ | 268/363 [00:25<00:04, 22.59it/s] Loading 0: 75%|███████▍ | 271/363 [00:25<00:04, 20.58it/s] Loading 0: 75%|███████▌ | 274/363 [00:25<00:04, 21.69it/s] Loading 0: 76%|███████▋ | 277/363 [00:25<00:03, 21.97it/s] Loading 0: 78%|███████▊ | 282/363 [00:26<00:03, 24.95it/s] Loading 0: 79%|███████▊ | 285/363 [00:26<00:03, 22.31it/s] Loading 0: 80%|████████ | 291/363 [00:26<00:02, 27.39it/s] Loading 0: 81%|████████ | 294/363 [00:26<00:02, 24.50it/s] Loading 0: 82%|████████▏ | 299/363 [00:26<00:02, 27.06it/s] Loading 0: 84%|████████▎ | 304/363 [00:26<00:02, 24.08it/s] Loading 0: 85%|████████▍ | 307/363 [00:27<00:02, 22.15it/s] Loading 0: 85%|████████▌ | 310/363 [00:27<00:02, 22.95it/s] Loading 0: 86%|████████▌ | 313/363 [00:27<00:02, 23.21it/s] Loading 0: 88%|████████▊ | 318/363 [00:27<00:01, 26.66it/s] Loading 0: 88%|████████▊ | 321/363 [00:27<00:01, 23.76it/s] Loading 0: 90%|█████████ | 327/363 [00:27<00:01, 28.63it/s] Loading 0: 91%|█████████ | 330/363 [00:27<00:01, 25.41it/s] Loading 0: 92%|█████████▏| 335/363 [00:28<00:01, 27.85it/s] Loading 0: 93%|█████████▎| 338/363 [00:28<00:00, 26.16it/s] Loading 0: 94%|█████████▍| 341/363 [00:28<00:01, 15.47it/s] Loading 0: 95%|█████████▌| 346/363 [00:28<00:00, 20.76it/s] Loading 0: 96%|█████████▌| 349/363 [00:28<00:00, 19.91it/s] Loading 0: 98%|█████████▊| 355/363 [00:29<00:00, 25.27it/s] Loading 0: 99%|█████████▉| 359/363 [00:29<00:00, 24.26it/s]
Job chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer completed after 137.68s with status: succeeded
Stopping job with name chaiml-gy-exp169-sft-gy-66063-v2-mkmlizer
Pipeline stage MKMLizer completed in 138.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.40s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp169-sft-gy-66063-v2
Waiting for inference service chaiml-gy-exp169-sft-gy-66063-v2 to be ready
Failed to get response for submission rica40325-feedbackv4-filter_v1: HTTPConnectionPool(host='rica40325-feedbackv4-filter-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-gy-exp169-sft-gy-66063-v2 ready after 261.0906376838684s
Pipeline stage MKMLDeployer completed in 261.67s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3908400535583496s
Received healthy response to inference request in 1.7805726528167725s
Received healthy response to inference request in 2.314805746078491s
Received healthy response to inference request in 1.906125545501709s
Received healthy response to inference request in 1.8877902030944824s
5 requests
0 failed requests
5th percentile: 1.8020161628723144
10th percentile: 1.8234596729278565
20th percentile: 1.8663466930389405
30th percentile: 1.8914572715759277
40th percentile: 1.8987914085388184
50th percentile: 1.906125545501709
60th percentile: 2.069597625732422
70th percentile: 2.2330697059631346
80th percentile: 2.3300126075744627
90th percentile: 2.360426330566406
95th percentile: 2.375633192062378
99th percentile: 2.3877986812591554
mean time: 2.056026840209961
Pipeline stage StressChecker completed in 12.02s
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 0.91s
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 0.69s
Shutdown handler de-registered
chaiml-gy-exp169-sft-gy_66063_v2 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 chaiml-gy-exp169-sft-gy-66063-v2-profiler
Waiting for inference service chaiml-gy-exp169-sft-gy-66063-v2-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 3431.04s
Shutdown handler de-registered
chaiml-gy-exp169-sft-gy_66063_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp169-sft-gy_66063_v2 status is now torndown due to DeploymentManager action
chaiml-gy-exp169-sft-gy_66063_v2 status is now torndown due to DeploymentManager action