developer_uid: NischayDnk
submission_id: chaiml-ssdaysdata-sft-e_22210_v3
model_name: chaiml-ssdaysdata-sft-e_22210_v3
model_group: ChaiML/ssdaysdata-sft-ex
status: torndown
timestamp: 2025-03-09T20:38:13+00:00
num_battles: 19956
num_wins: 9932
celo_rating: 1277.23
family_friendly_score: 0.5449999999999999
family_friendly_standard_error: 0.0070423717595707765
submission_type: basic
model_repo: ChaiML/ssdaysdata-sft-exp61-12B-1300K
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': 0.6025120874517873, 'latency_mean': 1.659648380279541, 'latency_p50': 1.6660419702529907, 'latency_p90': 1.8359075784683228}, {'batch_size': 3, 'throughput': 1.1079024418962211, 'latency_mean': 2.703275227546692, 'latency_p50': 2.7057706117630005, 'latency_p90': 2.9348229646682737}, {'batch_size': 5, 'throughput': 1.3428371974667044, 'latency_mean': 3.699567414522171, 'latency_p50': 3.700798988342285, 'latency_p90': 4.131001448631286}, {'batch_size': 6, 'throughput': 1.419544396064808, 'latency_mean': 4.198664391040802, 'latency_p50': 4.173459053039551, 'latency_p90': 4.735354018211365}, {'batch_size': 8, 'throughput': 1.4817292506087893, 'latency_mean': 5.36260082244873, 'latency_p50': 5.323911666870117, 'latency_p90': 6.10688533782959}, {'batch_size': 10, 'throughput': 1.4945628934898167, 'latency_mean': 6.638561432361603, 'latency_p50': 6.673929691314697, 'latency_p90': 7.479786467552185}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-ssdaysdata-sft-e_22210_v3
is_internal_developer: False
language_model: ChaiML/ssdaysdata-sft-exp61-12B-1300K
model_size: 13B
ranking_group: single
throughput_3p7s: 1.35
us_pacific_date: 2025-03-09
win_ratio: 0.4976949288434556
generation_params: {'temperature': 0.85, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.3, 'frequency_penalty': 0.3, '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-ssdaysdata-sft-e-22210-v3-mkmlizer
Waiting for job on chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer to finish
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ _____ __ __ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ /___/ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ Version: 0.12.8 ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ https://mk1.ai ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ belonging to: ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ Chai Research Corp. ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ║ ║
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: Downloaded to shared memory in 65.614s
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpvgipmxx7, device:0
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: quantized model in 35.495s
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: Processed model ChaiML/ssdaysdata-sft-exp61-12B-1300K in 101.109s
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ssdaysdata-sft-e-22210-v3
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ssdaysdata-sft-e-22210-v3/config.json
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ssdaysdata-sft-e-22210-v3/special_tokens_map.json
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ssdaysdata-sft-e-22210-v3/tokenizer_config.json
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ssdaysdata-sft-e-22210-v3/tokenizer.json
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ssdaysdata-sft-e-22210-v3/flywheel_model.0.safetensors
chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.60it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 53.26it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:06, 50.36it/s] Loading 0: 7%|▋ | 25/363 [00:00<00:06, 51.80it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 54.18it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 51.48it/s] Loading 0: 12%|█▏ | 43/363 [00:00<00:06, 52.15it/s] Loading 0: 13%|█▎ | 49/363 [00:00<00:05, 53.09it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 50.45it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:07, 37.90it/s] Loading 0: 18%|█▊ | 66/363 [00:01<00:07, 38.36it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:06, 42.85it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:06, 43.09it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 43.69it/s] Loading 0: 25%|██▍ | 90/363 [00:01<00:05, 49.00it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:05, 46.29it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:05, 45.07it/s] Loading 0: 30%|███ | 109/363 [00:02<00:04, 53.21it/s] Loading 0: 32%|███▏ | 115/363 [00:02<00:05, 45.91it/s] Loading 0: 33%|███▎ | 120/363 [00:02<00:05, 43.72it/s] Loading 0: 35%|███▍ | 126/363 [00:02<00:05, 46.63it/s] Loading 0: 36%|███▋ | 132/363 [00:02<00:05, 46.00it/s] Loading 0: 38%|███▊ | 137/363 [00:02<00:05, 44.87it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 34.31it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 35.06it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 34.74it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 39.06it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 39.43it/s] Loading 0: 46%|████▌ | 166/363 [00:03<00:04, 41.81it/s] Loading 0: 47%|████▋ | 172/363 [00:03<00:04, 42.27it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 41.31it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:03, 45.04it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:03, 44.51it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 44.48it/s] Loading 0: 55%|█████▍ | 199/363 [00:04<00:03, 44.32it/s] Loading 0: 56%|█████▌ | 204/363 [00:04<00:03, 43.89it/s] Loading 0: 58%|█████▊ | 210/363 [00:04<00:03, 48.01it/s] Loading 0: 59%|█████▉ | 215/363 [00:04<00:03, 47.54it/s] Loading 0: 61%|██████ | 222/363 [00:04<00:02, 47.68it/s] Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 31.49it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 29.52it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 33.74it/s] Loading 0: 66%|██████▋ | 241/363 [00:05<00:03, 34.25it/s] Loading 0: 68%|██████▊ | 246/363 [00:05<00:03, 37.42it/s] Loading 0: 69%|██████▉ | 251/363 [00:05<00:02, 38.81it/s] Loading 0: 71%|███████ | 256/363 [00:06<00:02, 40.71it/s] Loading 0: 72%|███████▏ | 261/363 [00:06<00:02, 42.70it/s] Loading 0: 73%|███████▎ | 266/363 [00:06<00:02, 35.95it/s] Loading 0: 75%|███████▌ | 273/363 [00:06<00:02, 43.17it/s] Loading 0: 77%|███████▋ | 278/363 [00:06<00:01, 43.27it/s] Loading 0: 78%|███████▊ | 283/363 [00:06<00:01, 43.76it/s] Loading 0: 79%|███████▉ | 288/363 [00:06<00:01, 44.01it/s] Loading 0: 81%|████████ | 293/363 [00:06<00:02, 34.38it/s] Loading 0: 82%|████████▏ | 299/363 [00:07<00:01, 39.90it/s] Loading 0: 84%|████████▎ | 304/363 [00:13<00:23, 2.50it/s] Loading 0: 85%|████████▍ | 308/363 [00:13<00:17, 3.23it/s] Loading 0: 86%|████████▌ | 312/363 [00:14<00:12, 4.23it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 7.07it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:03, 9.63it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:02, 12.24it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 17.13it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:00, 21.15it/s] Loading 0: 96%|█████████▌| 349/363 [00:14<00:00, 24.62it/s] Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 31.55it/s] Loading 0: 100%|█████████▉| 362/363 [00:14<00:00, 34.88it/s]
Job chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer completed after 134.34s with status: succeeded
Stopping job with name chaiml-ssdaysdata-sft-e-22210-v3-mkmlizer
Pipeline stage MKMLizer completed in 134.80s
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-ssdaysdata-sft-e-22210-v3
Waiting for inference service chaiml-ssdaysdata-sft-e-22210-v3 to be ready
Inference service chaiml-ssdaysdata-sft-e-22210-v3 ready after 90.32431554794312s
Pipeline stage MKMLDeployer completed in 90.76s
run pipeline stage %s
Running pipeline stage StressChecker
HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
Received unhealthy response to inference request!
Received healthy response to inference request in 2.4409196376800537s
Received healthy response to inference request in 1.582840919494629s
Received healthy response to inference request in 1.7154173851013184s
Received healthy response to inference request in 1.7983906269073486s
5 requests
1 failed requests
5th percentile: 1.6093562126159668
10th percentile: 1.6358715057373048
20th percentile: 1.6889020919799804
30th percentile: 1.7320120334625244
40th percentile: 1.7652013301849365
50th percentile: 1.7983906269073486
60th percentile: 2.055402231216431
70th percentile: 2.3124138355255126
80th percentile: 5.978698158264163
90th percentile: 13.054255199432376
95th percentile: 16.592033720016477
99th percentile: 19.422256536483765
mean time: 5.533476161956787
%s, retrying in %s seconds...
Received healthy response to inference request in 1.9299943447113037s
Received healthy response to inference request in 1.6946728229522705s
Received healthy response to inference request in 1.6000075340270996s
Received healthy response to inference request in 1.8014788627624512s
Received healthy response to inference request in 1.6962757110595703s
5 requests
0 failed requests
5th percentile: 1.6189405918121338
10th percentile: 1.637873649597168
20th percentile: 1.6757397651672363
30th percentile: 1.6949934005737304
40th percentile: 1.6956345558166503
50th percentile: 1.6962757110595703
60th percentile: 1.7383569717407226
70th percentile: 1.780438232421875
80th percentile: 1.8271819591522216
90th percentile: 1.8785881519317627
95th percentile: 1.9042912483215333
99th percentile: 1.9248537254333495
mean time: 1.744485855102539
Pipeline stage StressChecker completed in 39.16s
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 0.66s
Shutdown handler de-registered
chaiml-ssdaysdata-sft-e_22210_v3 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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-ssdaysdata-sft-e-22210-v3-profiler
Waiting for inference service chaiml-ssdaysdata-sft-e-22210-v3-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 4516.09s
Shutdown handler de-registered
chaiml-ssdaysdata-sft-e_22210_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-ssdaysdata-sft-e_22210_v3 status is now torndown due to DeploymentManager action