developer_uid: bogoconic1
submission_id: chaiml-gy-exp40-sft-gy-_42070_v1
model_name: chaiml-gy-exp40-sft-gy-_42070_v1
model_group: ChaiML/gy-exp40-sft-gy-d
status: torndown
timestamp: 2025-06-29T18:05:14+00:00
num_battles: 6500
num_wins: 3356
celo_rating: 1286.34
family_friendly_score: 0.5608
family_friendly_standard_error: 0.007018594731140985
submission_type: basic
model_repo: ChaiML/gy-exp40-sft-gy-datamix-v1-rmchosen-ge0.7-ep2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.5905688896618702, 'latency_mean': 1.6931672310829162, 'latency_p50': 1.7003272771835327, 'latency_p90': 1.8653126001358031}, {'batch_size': 3, 'throughput': 1.0586774689981113, 'latency_mean': 2.829910571575165, 'latency_p50': 2.8225446939468384, 'latency_p90': 3.1553925275802612}, {'batch_size': 5, 'throughput': 1.256455604429138, 'latency_mean': 3.954415349960327, 'latency_p50': 3.9706350564956665, 'latency_p90': 4.376367616653442}, {'batch_size': 6, 'throughput': 1.3401761054522392, 'latency_mean': 4.455019046068191, 'latency_p50': 4.443721413612366, 'latency_p90': 5.001386141777038}, {'batch_size': 8, 'throughput': 1.3729171115987668, 'latency_mean': 5.793305770158768, 'latency_p50': 5.787788510322571, 'latency_p90': 6.5266735553741455}, {'batch_size': 10, 'throughput': 1.4003971748036452, 'latency_mean': 7.084099947214127, 'latency_p50': 7.1578285694122314, 'latency_p90': 7.908505153656006}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: chaiml-gy-exp40-sft-gy-_42070_v1
is_internal_developer: True
language_model: ChaiML/gy-exp40-sft-gy-datamix-v1-rmchosen-ge0.7-ep2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.23
us_pacific_date: 2025-06-29
win_ratio: 0.5163076923076924
generation_params: {'temperature': 0.8, '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': 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-gy-exp40-sft-gy-42070-v1-mkmlizer
Waiting for job on chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer to finish
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ██████ ██████ █████ ████ ████ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ░░██████ ██████ ░░███ ███░ ░░███ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ░███░█████░███ ░███ ███ ░███ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ░███░░███ ░███ ░███████ ░███ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ░███ ░░░ ░███ ░███░░███ ░███ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ Version: 0.29.3 ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ https://mk1.ai ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ belonging to: ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ Chai Research Corp. ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ║ ║
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: Downloaded to shared memory in 72.662s
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: Checking if ChaiML/gy-exp40-sft-gy-datamix-v1-rmchosen-ge0.7-ep2 already exists in ChaiML
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsmunhg7g, device:0
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: quantized model in 30.234s
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: Processed model ChaiML/gy-exp40-sft-gy-datamix-v1-rmchosen-ge0.7-ep2 in 102.896s
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-gy-exp40-sft-gy-42070-v1
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-gy-exp40-sft-gy-42070-v1/tokenizer.json
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-gy-exp40-sft-gy-42070-v1/flywheel_model.0.safetensors
chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 32.46it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.90it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 45.14it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 43.49it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 49.12it/s] Loading 0: 10%|█ | 37/363 [00:00<00:07, 45.41it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 43.86it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 48.34it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:07, 43.44it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 44.93it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 29.89it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:08, 36.18it/s] Loading 0: 21%|██ | 77/363 [00:01<00:07, 38.55it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:08, 34.31it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 41.42it/s] Loading 0: 26%|██▌ | 94/363 [00:02<00:06, 41.72it/s] Loading 0: 27%|██▋ | 99/363 [00:02<00:06, 42.74it/s] Loading 0: 29%|██▊ | 104/363 [00:02<00:05, 43.67it/s] Loading 0: 30%|███ | 109/363 [00:02<00:05, 44.93it/s] Loading 0: 31%|███▏ | 114/363 [00:02<00:06, 38.76it/s] Loading 0: 33%|███▎ | 119/363 [00:02<00:06, 38.89it/s] Loading 0: 34%|███▍ | 125/363 [00:03<00:05, 42.70it/s] Loading 0: 36%|███▌ | 130/363 [00:03<00:05, 41.78it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 41.93it/s] Loading 0: 39%|███▊ | 140/363 [00:03<00:05, 43.68it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:07, 27.42it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 27.90it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 35.26it/s] Loading 0: 44%|████▍ | 161/363 [00:04<00:05, 37.14it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:05, 38.65it/s] Loading 0: 47%|████▋ | 171/363 [00:04<00:04, 39.20it/s] Loading 0: 48%|████▊ | 176/363 [00:04<00:05, 33.45it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 40.73it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 40.78it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:04, 40.50it/s] Loading 0: 55%|█████▍ | 198/363 [00:04<00:03, 41.89it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 34.33it/s] Loading 0: 58%|█████▊ | 210/363 [00:05<00:03, 41.34it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 41.39it/s] Loading 0: 61%|██████ | 220/363 [00:05<00:03, 42.44it/s] Loading 0: 62%|██████▏ | 225/363 [00:05<00:05, 26.81it/s] Loading 0: 63%|██████▎ | 230/363 [00:06<00:04, 28.48it/s] Loading 0: 65%|██████▌ | 237/363 [00:06<00:03, 34.97it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 36.09it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:03, 36.81it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 38.50it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 32.68it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 39.14it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 39.84it/s] Loading 0: 75%|███████▌ | 274/363 [00:07<00:02, 40.72it/s] Loading 0: 77%|███████▋ | 279/363 [00:07<00:01, 42.22it/s] Loading 0: 78%|███████▊ | 284/363 [00:07<00:02, 34.71it/s] Loading 0: 80%|████████ | 291/363 [00:07<00:01, 41.35it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 40.97it/s] Loading 0: 83%|████████▎ | 301/363 [00:07<00:01, 42.16it/s] Loading 0: 84%|████████▍ | 306/363 [00:08<00:02, 23.68it/s] Loading 0: 85%|████████▌ | 310/363 [00:08<00:02, 24.85it/s] Loading 0: 87%|████████▋ | 314/363 [00:08<00:01, 26.63it/s] Loading 0: 88%|████████▊ | 320/363 [00:08<00:01, 32.31it/s] Loading 0: 90%|████████▉ | 325/363 [00:08<00:01, 35.97it/s] Loading 0: 91%|█████████ | 330/363 [00:08<00:01, 32.18it/s] Loading 0: 93%|█████████▎| 337/363 [00:08<00:00, 39.70it/s] Loading 0: 94%|█████████▍| 342/363 [00:09<00:00, 38.98it/s] Loading 0: 96%|█████████▌| 347/363 [00:09<00:00, 39.66it/s] Loading 0: 97%|█████████▋| 352/363 [00:09<00:00, 41.23it/s] Loading 0: 98%|█████████▊| 357/363 [00:09<00:00, 34.87it/s]
Job chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer completed after 125.07s with status: succeeded
Stopping job with name chaiml-gy-exp40-sft-gy-42070-v1-mkmlizer
Pipeline stage MKMLizer completed in 125.76s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-gy-exp40-sft-gy-42070-v1
Waiting for inference service chaiml-gy-exp40-sft-gy-42070-v1 to be ready
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.8985252380371094s
Received healthy response to inference request in 4.015422821044922s
Received healthy response to inference request in 7.185803651809692s
Received healthy response to inference request in 3.9486052989959717s
Received healthy response to inference request in 5.331290006637573s
5 requests
0 failed requests
5th percentile: 3.9085412502288817
10th percentile: 3.9185572624206544
20th percentile: 3.9385892868041994
30th percentile: 3.9619688034057616
40th percentile: 3.988695812225342
50th percentile: 4.015422821044922
60th percentile: 4.541769695281983
70th percentile: 5.068116569519042
80th percentile: 5.702192735671997
90th percentile: 6.443998193740845
95th percentile: 6.814900922775268
99th percentile: 7.111623106002807
mean time: 4.8759294033050535
%s, retrying in %s seconds...
Received healthy response to inference request in 3.5104386806488037s
Received healthy response to inference request in 3.432650089263916s
Received healthy response to inference request in 5.443325757980347s
Received healthy response to inference request in 3.814985513687134s
Received healthy response to inference request in 5.192100524902344s
5 requests
0 failed requests
5th percentile: 3.4482078075408937
10th percentile: 3.463765525817871
20th percentile: 3.494880962371826
30th percentile: 3.57134804725647
40th percentile: 3.6931667804718016
50th percentile: 3.814985513687134
60th percentile: 4.365831518173218
70th percentile: 4.916677522659302
80th percentile: 5.242345571517944
90th percentile: 5.3428356647491455
95th percentile: 5.393080711364746
99th percentile: 5.433276748657226
mean time: 4.278700113296509
%s, retrying in %s seconds...
Received healthy response to inference request in 3.90316104888916s
Received healthy response to inference request in 3.9191465377807617s
Received healthy response to inference request in 4.005603313446045s
Received healthy response to inference request in 4.302154779434204s
Received healthy response to inference request in 3.670466661453247s
5 requests
0 failed requests
5th percentile: 3.7170055389404295
10th percentile: 3.7635444164276124
20th percentile: 3.8566221714019777
30th percentile: 3.9063581466674804
40th percentile: 3.9127523422241213
50th percentile: 3.9191465377807617
60th percentile: 3.953729248046875
70th percentile: 3.9883119583129885
80th percentile: 4.064913606643676
90th percentile: 4.18353419303894
95th percentile: 4.242844486236573
99th percentile: 4.290292720794678
mean time: 3.9601064682006837
clean up pipeline due to error=DeploymentChecksError('Unacceptable 70th percentile latency 3.9883119583129885s')
Shutdown handler de-registered
DeploymentChecksError('Unacceptable 70th percentile latency 3.9883119583129885s')
function_benor_2025-06-29 status is now failed due to DeploymentManager action
Inference service chaiml-gy-exp40-sft-gy-42070-v1 ready after 181.43268060684204s
Pipeline stage MKMLDeployer completed in 181.95s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.058135747909546s
Received healthy response to inference request in 1.6845011711120605s
Received healthy response to inference request in 1.6845269203186035s
Received healthy response to inference request in 1.575230360031128s
Received healthy response to inference request in 1.6149280071258545s
5 requests
0 failed requests
5th percentile: 1.5831698894500732
10th percentile: 1.5911094188690185
20th percentile: 1.6069884777069092
30th percentile: 1.6288426399230957
40th percentile: 1.656671905517578
50th percentile: 1.6845011711120605
60th percentile: 1.6845114707946778
70th percentile: 1.684521770477295
80th percentile: 1.7592486858367922
90th percentile: 1.908692216873169
95th percentile: 1.9834139823913572
99th percentile: 2.043191394805908
mean time: 1.7234644412994384
Pipeline stage StressChecker completed in 10.09s
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 0.86s
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 0.68s
Shutdown handler de-registered
chaiml-gy-exp40-sft-gy-_42070_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 0.14s
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-exp40-sft-gy-42070-v1-profiler
Waiting for inference service chaiml-gy-exp40-sft-gy-42070-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 3375.02s
Shutdown handler de-registered
chaiml-gy-exp40-sft-gy-_42070_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-gy-exp40-sft-gy-_42070_v1 status is now torndown due to DeploymentManager action