developer_uid: bogoconic1
submission_id: bogoconic1-nemo-280k-avg_7738_v1
model_name: bogoconic1-nemo-280k-avg_7738_v1
model_group: bogoconic1/nemo-280k-avg
status: torndown
timestamp: 2025-05-02T11:58:07+00:00
num_battles: 7401
num_wins: 3633
celo_rating: 1278.84
family_friendly_score: 0.585
family_friendly_standard_error: 0.00696814178960216
submission_type: basic
model_repo: bogoconic1/nemo-280k-avg-chai-step700
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.597766559393446, 'latency_mean': 1.6728298592567443, 'latency_p50': 1.6773035526275635, 'latency_p90': 1.821295118331909}, {'batch_size': 3, 'throughput': 1.0868519194577444, 'latency_mean': 2.7481441009044647, 'latency_p50': 2.7639907598495483, 'latency_p90': 3.01206488609314}, {'batch_size': 5, 'throughput': 1.3057501862563246, 'latency_mean': 3.8074794673919676, 'latency_p50': 3.823203206062317, 'latency_p90': 4.317221832275391}, {'batch_size': 6, 'throughput': 1.3737251033892308, 'latency_mean': 4.342791736125946, 'latency_p50': 4.365165114402771, 'latency_p90': 4.917259287834168}, {'batch_size': 8, 'throughput': 1.4449823627863077, 'latency_mean': 5.497271630764008, 'latency_p50': 5.520737886428833, 'latency_p90': 6.150925087928772}, {'batch_size': 10, 'throughput': 1.4763728959497529, 'latency_mean': 6.725056085586548, 'latency_p50': 6.725068092346191, 'latency_p90': 7.590711855888366}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: bogoconic1-nemo-280k-avg_7738_v1
is_internal_developer: False
language_model: bogoconic1/nemo-280k-avg-chai-step700
model_size: 13B
ranking_group: single
throughput_3p7s: 1.3
us_pacific_date: 2025-05-02
win_ratio: 0.4908796108633968
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], '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 bogoconic1-nemo-280k-avg-7738-v1-mkmlizer
Waiting for job on bogoconic1-nemo-280k-avg-7738-v1-mkmlizer to finish
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ _____ __ __ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ /___/ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ Version: 0.12.8 ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ https://mk1.ai ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ The license key for the current software has been verified as ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ belonging to: ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ Chai Research Corp. ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ║ ║
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: Downloaded to shared memory in 42.464s
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpicsys_r6, device:0
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: quantized model in 35.916s
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: Processed model bogoconic1/nemo-280k-avg-chai-step700 in 78.381s
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: creating bucket guanaco-mkml-models
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-7738-v1
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-7738-v1/special_tokens_map.json
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-7738-v1/config.json
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-7738-v1/tokenizer_config.json
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-7738-v1/tokenizer.json
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/bogoconic1-nemo-280k-avg-7738-v1/flywheel_model.0.safetensors
bogoconic1-nemo-280k-avg-7738-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 31.58it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 52.90it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 46.70it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 43.53it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 49.56it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.33it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 45.07it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 50.74it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 48.53it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:06, 48.82it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 32.24it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 39.35it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 40.16it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:07, 39.21it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 44.69it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:06, 44.06it/s] Loading 0: 28%|██▊ | 101/363 [00:02<00:06, 42.86it/s] Loading 0: 29%|██▉ | 106/363 [00:02<00:05, 43.36it/s] Loading 0: 31%|███ | 113/363 [00:02<00:05, 43.05it/s] Loading 0: 33%|███▎ | 118/363 [00:02<00:05, 42.84it/s] Loading 0: 34%|███▍ | 125/363 [00:02<00:04, 49.15it/s] Loading 0: 36%|███▌ | 131/363 [00:02<00:04, 48.67it/s] Loading 0: 37%|███▋ | 136/363 [00:03<00:05, 41.13it/s] Loading 0: 39%|███▉ | 142/363 [00:03<00:06, 35.06it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 34.96it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 34.14it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 40.05it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:04, 41.40it/s] Loading 0: 46%|████▌ | 166/363 [00:03<00:04, 41.80it/s] Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 41.78it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 41.14it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:03, 45.48it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:03, 45.42it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 46.17it/s] Loading 0: 55%|█████▍ | 199/363 [00:04<00:03, 42.84it/s] Loading 0: 56%|█████▌ | 204/363 [00:04<00:03, 40.92it/s] Loading 0: 58%|█████▊ | 210/363 [00:04<00:03, 45.21it/s] Loading 0: 59%|█████▉ | 215/363 [00:05<00:03, 45.31it/s] Loading 0: 61%|██████ | 222/363 [00:05<00:03, 45.76it/s] Loading 0: 63%|██████▎ | 227/363 [00:05<00:04, 32.67it/s] Loading 0: 64%|██████▎ | 231/363 [00:05<00:04, 32.35it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 37.71it/s] Loading 0: 67%|██████▋ | 242/363 [00:05<00:03, 38.69it/s] Loading 0: 68%|██████▊ | 247/363 [00:05<00:02, 40.03it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 42.36it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:03, 35.01it/s] Loading 0: 73%|███████▎ | 264/363 [00:06<00:02, 42.17it/s] Loading 0: 74%|███████▍ | 269/363 [00:06<00:02, 42.32it/s] Loading 0: 75%|███████▌ | 274/363 [00:06<00:02, 43.31it/s] Loading 0: 77%|███████▋ | 280/363 [00:06<00:01, 41.76it/s] Loading 0: 79%|███████▊ | 285/363 [00:06<00:01, 40.85it/s] Loading 0: 80%|████████ | 291/363 [00:06<00:01, 45.44it/s] Loading 0: 82%|████████▏ | 296/363 [00:07<00:01, 44.91it/s] Loading 0: 83%|████████▎ | 302/363 [00:07<00:01, 48.56it/s] Loading 0: 85%|████████▍ | 307/363 [00:14<00:22, 2.51it/s] Loading 0: 86%|████████▌ | 312/363 [00:14<00:14, 3.43it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:07, 5.50it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:04, 7.45it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:03, 9.52it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 13.49it/s] Loading 0: 95%|█████████▍| 344/363 [00:14<00:01, 16.99it/s] Loading 0: 96%|█████████▋| 350/363 [00:14<00:00, 21.11it/s] Loading 0: 98%|█████████▊| 356/363 [00:14<00:00, 25.86it/s] Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 29.49it/s]
Job bogoconic1-nemo-280k-avg-7738-v1-mkmlizer completed after 104.79s with status: succeeded
Stopping job with name bogoconic1-nemo-280k-avg-7738-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.26s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.18s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service bogoconic1-nemo-280k-avg-7738-v1
Waiting for inference service bogoconic1-nemo-280k-avg-7738-v1 to be ready
Inference service bogoconic1-nemo-280k-avg-7738-v1 ready after 150.611590385437s
Pipeline stage MKMLDeployer completed in 151.05s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1192126274108887s
Received healthy response to inference request in 1.4572865962982178s
Received healthy response to inference request in 1.7166063785552979s
Received healthy response to inference request in 1.7038462162017822s
Received healthy response to inference request in 1.8623032569885254s
5 requests
0 failed requests
5th percentile: 1.5065985202789307
10th percentile: 1.5559104442596436
20th percentile: 1.6545342922210693
30th percentile: 1.7063982486724854
40th percentile: 1.7115023136138916
50th percentile: 1.7166063785552979
60th percentile: 1.7748851299285888
70th percentile: 1.8331638813018798
80th percentile: 1.913685131072998
90th percentile: 2.0164488792419433
95th percentile: 2.067830753326416
99th percentile: 2.108936252593994
mean time: 1.7718510150909423
Pipeline stage StressChecker completed in 10.33s
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 0.74s
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
bogoconic1-nemo-280k-avg_7738_v1 status is now deployed due to DeploymentManager action
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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5514.03s
Shutdown handler de-registered
bogoconic1-nemo-280k-avg_7738_v1 status is now inactive due to auto deactivation removed underperforming models
bogoconic1-nemo-280k-avg_7738_v1 status is now torndown due to DeploymentManager action