developer_uid: RandomForest1024
submission_id: albertwang8192-2025-07-08-1_v1
model_name: 2025-07-08_1
model_group: AlbertWang8192/2025-07-0
status: torndown
timestamp: 2025-07-08T05:51:14+00:00
num_battles: 6240
num_wins: 2810
celo_rating: 1255.16
family_friendly_score: 0.5882000000000001
family_friendly_standard_error: 0.006960183330918806
submission_type: basic
model_repo: AlbertWang8192/2025-07-08_1
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.592085053987859, 'latency_mean': 1.6887997221946716, 'latency_p50': 1.6813040971755981, 'latency_p90': 1.8703962326049806}, {'batch_size': 3, 'throughput': 1.068294419486079, 'latency_mean': 2.7947850930690765, 'latency_p50': 2.8087830543518066, 'latency_p90': 3.067704677581787}, {'batch_size': 5, 'throughput': 1.2798704799040257, 'latency_mean': 3.896971565485001, 'latency_p50': 3.9218051433563232, 'latency_p90': 4.375631666183471}, {'batch_size': 6, 'throughput': 1.333396009636232, 'latency_mean': 4.472931497097015, 'latency_p50': 4.492179036140442, 'latency_p90': 4.997142171859741}, {'batch_size': 8, 'throughput': 1.408158556642314, 'latency_mean': 5.645174943208694, 'latency_p50': 5.639719843864441, 'latency_p90': 6.393050789833069}, {'batch_size': 10, 'throughput': 1.4319216008530247, 'latency_mean': 6.92870717048645, 'latency_p50': 6.973604440689087, 'latency_p90': 7.770263266563415}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: 2025-07-08_1
is_internal_developer: False
language_model: AlbertWang8192/2025-07-08_1
model_size: 13B
ranking_group: single
throughput_3p7s: 1.25
us_pacific_date: 2025-07-07
win_ratio: 0.45032051282051283
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_end|>', '\n', '<|im_start|>'], '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 albertwang8192-2025-07-08-1-v1-mkmlizer
Waiting for job on albertwang8192-2025-07-08-1-v1-mkmlizer to finish
albertwang8192-2025-07-08-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ Version: 0.29.15 ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ https://mk1.ai ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ belonging to: ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ Chai Research Corp. ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ║ ║
albertwang8192-2025-07-08-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
albertwang8192-2025-07-08-1-v1-mkmlizer: Downloaded to shared memory in 41.599s
albertwang8192-2025-07-08-1-v1-mkmlizer: Checking if AlbertWang8192/2025-07-08_1 already exists in ChaiML
albertwang8192-2025-07-08-1-v1-mkmlizer: Creating repo ChaiML/2025-07-08_1 and uploading /tmp/tmpo45gjyoa to it
albertwang8192-2025-07-08-1-v1-mkmlizer: 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:08<00:42, 8.43s/it] 33%|███▎ | 2/6 [00:13<00:25, 6.41s/it] 50%|█████ | 3/6 [00:20<00:20, 6.72s/it] 67%|██████▋ | 4/6 [00:29<00:14, 7.45s/it] 83%|████████▎ | 5/6 [00:33<00:06, 6.23s/it] 100%|██████████| 6/6 [00:34<00:00, 4.48s/it] 100%|██████████| 6/6 [00:34<00:00, 5.71s/it]
albertwang8192-2025-07-08-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpo45gjyoa, device:0
albertwang8192-2025-07-08-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
albertwang8192-2025-07-08-1-v1-mkmlizer: quantized model in 30.361s
albertwang8192-2025-07-08-1-v1-mkmlizer: Processed model AlbertWang8192/2025-07-08_1 in 132.255s
albertwang8192-2025-07-08-1-v1-mkmlizer: creating bucket guanaco-mkml-models
albertwang8192-2025-07-08-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
albertwang8192-2025-07-08-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/albertwang8192-2025-07-08-1-v1/nvidia
albertwang8192-2025-07-08-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-1-v1/nvidia/config.json
albertwang8192-2025-07-08-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-1-v1/nvidia/special_tokens_map.json
albertwang8192-2025-07-08-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-1-v1/nvidia/tokenizer_config.json
albertwang8192-2025-07-08-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/albertwang8192-2025-07-08-1-v1/nvidia/tokenizer.json
albertwang8192-2025-07-08-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/albertwang8192-2025-07-08-1-v1/nvidia/flywheel_model.0.safetensors
albertwang8192-2025-07-08-1-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 32.16it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.45it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 44.20it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 42.89it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 48.24it/s] Loading 0: 10%|█ | 37/363 [00:00<00:07, 44.17it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 43.31it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 48.07it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:07, 43.86it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 44.95it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 29.86it/s] Loading 0: 20%|█▉ | 71/363 [00:01<00:08, 35.46it/s] Loading 0: 21%|██ | 76/363 [00:01<00:07, 36.74it/s] Loading 0: 22%|██▏ | 81/363 [00:01<00:07, 38.46it/s] Loading 0: 24%|██▎ | 86/363 [00:02<00:06, 40.71it/s] Loading 0: 25%|██▌ | 91/363 [00:02<00:07, 35.25it/s] Loading 0: 27%|██▋ | 98/363 [00:02<00:06, 42.51it/s] Loading 0: 28%|██▊ | 103/363 [00:02<00:06, 42.66it/s] Loading 0: 30%|███ | 109/363 [00:02<00:05, 46.48it/s] Loading 0: 31%|███▏ | 114/363 [00:02<00:06, 38.69it/s] Loading 0: 33%|███▎ | 119/363 [00:02<00:06, 38.49it/s] Loading 0: 34%|███▍ | 125/363 [00:03<00:05, 42.55it/s] Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 42.60it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 39.01it/s] Loading 0: 39%|███▊ | 140/363 [00:03<00:05, 41.00it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:08, 26.97it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 27.38it/s] Loading 0: 43%|████▎ | 156/363 [00:04<00:05, 34.69it/s] Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 36.42it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 37.25it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 39.95it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 34.05it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 40.81it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 41.17it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:04, 41.74it/s] Loading 0: 55%|█████▍ | 198/363 [00:05<00:03, 43.48it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 36.10it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 42.27it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 42.40it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:03, 43.75it/s] Loading 0: 62%|██████▏ | 225/363 [00:05<00:04, 28.05it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 30.15it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 36.68it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 37.90it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 38.64it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 40.09it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 33.39it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 40.29it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 40.73it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 40.53it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 42.40it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 35.39it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 41.69it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 41.33it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 42.96it/s] Loading 0: 84%|████████▍ | 306/363 [00:08<00:02, 23.56it/s] Loading 0: 85%|████████▌ | 310/363 [00:08<00:02, 24.52it/s] Loading 0: 87%|████████▋ | 314/363 [00:08<00:01, 26.80it/s] Loading 0: 88%|████████▊ | 320/363 [00:08<00:01, 32.30it/s] Loading 0: 90%|████████▉ | 326/363 [00:08<00:01, 33.67it/s] Loading 0: 91%|█████████ | 330/363 [00:08<00:00, 33.18it/s] Loading 0: 93%|█████████▎| 337/363 [00:08<00:00, 40.82it/s] Loading 0: 94%|█████████▍| 342/363 [00:09<00:00, 40.70it/s] Loading 0: 96%|█████████▌| 347/363 [00:09<00:00, 41.52it/s] Loading 0: 97%|█████████▋| 352/363 [00:09<00:00, 43.33it/s] Loading 0: 98%|█████████▊| 357/363 [00:09<00:00, 36.34it/s]
Job albertwang8192-2025-07-08-1-v1-mkmlizer completed after 156.71s with status: succeeded
Stopping job with name albertwang8192-2025-07-08-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 157.22s
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 albertwang8192-2025-07-08-1-v1
Waiting for inference service albertwang8192-2025-07-08-1-v1 to be ready
Failed to get response for submission chaiml-gy-exp115-dpo-ex_57867_v1: HTTPConnectionPool(host='chaiml-gy-exp115-dpo-ex-57867-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service albertwang8192-2025-07-08-1-v1 ready after 180.7829945087433s
Pipeline stage MKMLDeployer completed in 181.33s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2429239749908447s
Received healthy response to inference request in 1.6730937957763672s
Received healthy response to inference request in 1.1478674411773682s
Received healthy response to inference request in 1.2006518840789795s
Received healthy response to inference request in 1.6031742095947266s
5 requests
0 failed requests
5th percentile: 1.1584243297576904
10th percentile: 1.1689812183380126
20th percentile: 1.1900949954986573
30th percentile: 1.281156349182129
40th percentile: 1.4421652793884276
50th percentile: 1.6031742095947266
60th percentile: 1.6311420440673827
70th percentile: 1.659109878540039
80th percentile: 1.7870598316192627
90th percentile: 2.0149919033050536
95th percentile: 2.128957939147949
99th percentile: 2.2201307678222655
mean time: 1.5735422611236571
Pipeline stage StressChecker completed in 9.28s
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 0.65s
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 0.80s
Shutdown handler de-registered
albertwang8192-2025-07-08-1_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 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service albertwang8192-2025-07-08-1-v1-profiler
Waiting for inference service albertwang8192-2025-07-08-1-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 3267.65s
Shutdown handler de-registered
albertwang8192-2025-07-08-1_v1 status is now inactive due to auto deactivation removed underperforming models
albertwang8192-2025-07-08-1_v1 status is now torndown due to DeploymentManager action