submission_id: cgato-nemo-12b-thespice-_1853_v1
developer_uid: c.gato
best_of: 8
celo_rating: 1257.48
display_name: cgato-nemo-12b-thespice-_1853_v1
family_friendly_score: 0.5656
family_friendly_standard_error: 0.007009944935589723
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': True}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Small-2k
latencies: [{'batch_size': 1, 'throughput': 0.608440286102122, 'latency_mean': 1.643480727672577, 'latency_p50': 1.62044358253479, 'latency_p90': 1.831652331352234}, {'batch_size': 3, 'throughput': 1.1023460814548192, 'latency_mean': 2.712328553199768, 'latency_p50': 2.6900933980941772, 'latency_p90': 3.0403362989425657}, {'batch_size': 5, 'throughput': 1.3353658203843597, 'latency_mean': 3.7301564764976503, 'latency_p50': 3.728030800819397, 'latency_p90': 4.180111432075501}, {'batch_size': 6, 'throughput': 1.4085947136487906, 'latency_mean': 4.234949505329132, 'latency_p50': 4.262256979942322, 'latency_p90': 4.742705774307251}, {'batch_size': 8, 'throughput': 1.464445058531065, 'latency_mean': 5.420857232809067, 'latency_p50': 5.3805378675460815, 'latency_p90': 6.143759608268738}, {'batch_size': 10, 'throughput': 1.5044011528853163, 'latency_mean': 6.599702777862549, 'latency_p50': 6.628884792327881, 'latency_p90': 7.490819072723388}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cgato/Nemo-12b-TheSpice-
model_name: cgato-nemo-12b-thespice-_1853_v1
model_num_parameters: 12772121600.0
model_repo: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Small-2k
model_size: 13B
num_battles: 14730
num_wins: 7682
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.34
timestamp: 2024-11-12T23:55:31+00:00
us_pacific_date: 2024-11-12
win_ratio: 0.521520706042091
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 cgato-nemo-12b-thespice-1853-v1-mkmlizer
Waiting for job on cgato-nemo-12b-thespice-1853-v1-mkmlizer to finish
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ _____ __ __ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ /___/ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ Version: 0.11.33 ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ https://mk1.ai ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ belonging to: ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ║ ║
cgato-nemo-12b-thespice-1853-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-thespice-1853-v1-mkmlizer: Downloaded to shared memory in 51.435s
cgato-nemo-12b-thespice-1853-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8m5bsfvn, device:0
cgato-nemo-12b-thespice-1853-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-thespice-1853-v1-mkmlizer: quantized model in 36.419s
cgato-nemo-12b-thespice-1853-v1-mkmlizer: Processed model cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Small-2k in 87.855s
cgato-nemo-12b-thespice-1853-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-thespice-1853-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-thespice-1853-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v1
cgato-nemo-12b-thespice-1853-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v1/config.json
cgato-nemo-12b-thespice-1853-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v1/special_tokens_map.json
cgato-nemo-12b-thespice-1853-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v1/tokenizer_config.json
cgato-nemo-12b-thespice-1853-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v1/tokenizer.json
cgato-nemo-12b-thespice-1853-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-nemo-12b-thespice-1853-v1/flywheel_model.0.safetensors
cgato-nemo-12b-thespice-1853-v1-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:11, 30.18it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:06, 50.04it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 47.10it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 44.88it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 50.93it/s] Loading 0: 10%|█ | 37/363 [00:00<00:06, 47.99it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:06, 46.32it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 51.35it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 47.73it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:09, 33.48it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:09, 32.62it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 39.23it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 39.66it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 40.11it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:06, 44.49it/s] Loading 0: 26%|██▌ | 94/363 [00:02<00:06, 44.57it/s] Loading 0: 27%|██▋ | 99/363 [00:02<00:05, 44.41it/s] Loading 0: 29%|██▉ | 105/363 [00:02<00:05, 43.09it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 46.34it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 44.43it/s] Loading 0: 34%|███▍ | 123/363 [00:02<00:05, 42.99it/s] Loading 0: 35%|███▌ | 128/363 [00:02<00:05, 42.03it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:04, 46.60it/s] Loading 0: 39%|███▉ | 141/363 [00:03<00:04, 45.02it/s] Loading 0: 40%|████ | 146/363 [00:03<00:06, 31.22it/s] Loading 0: 41%|████▏ | 150/363 [00:03<00:06, 31.35it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 36.17it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 38.07it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:04, 39.76it/s] Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 40.14it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 40.39it/s] Loading 0: 51%|█████ | 184/363 [00:04<00:03, 45.65it/s] Loading 0: 52%|█████▏ | 189/363 [00:04<00:03, 46.74it/s] Loading 0: 53%|█████▎ | 194/363 [00:04<00:04, 39.02it/s] Loading 0: 56%|█████▌ | 202/363 [00:04<00:03, 46.86it/s] Loading 0: 57%|█████▋ | 208/363 [00:04<00:03, 44.91it/s] Loading 0: 59%|█████▊ | 213/363 [00:05<00:03, 42.96it/s] Loading 0: 60%|██████ | 219/363 [00:05<00:03, 47.06it/s] Loading 0: 62%|██████▏ | 224/363 [00:05<00:04, 32.80it/s] Loading 0: 63%|██████▎ | 228/363 [00:05<00:04, 33.39it/s] Loading 0: 64%|██████▍ | 232/363 [00:05<00:03, 34.59it/s] Loading 0: 66%|██████▌ | 238/363 [00:05<00:03, 38.62it/s] Loading 0: 67%|██████▋ | 243/363 [00:05<00:03, 39.12it/s] Loading 0: 68%|██████▊ | 248/363 [00:06<00:03, 34.49it/s] Loading 0: 70%|███████ | 255/363 [00:06<00:02, 42.08it/s] Loading 0: 72%|███████▏ | 260/363 [00:06<00:02, 42.36it/s] Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 42.76it/s] Loading 0: 74%|███████▍ | 270/363 [00:06<00:02, 44.17it/s] Loading 0: 76%|███████▌ | 275/363 [00:06<00:02, 38.68it/s] Loading 0: 78%|███████▊ | 283/363 [00:06<00:01, 47.14it/s] Loading 0: 80%|███████▉ | 289/363 [00:06<00:01, 43.60it/s] Loading 0: 81%|████████ | 294/363 [00:07<00:01, 41.62it/s] Loading 0: 82%|████████▏ | 299/363 [00:07<00:01, 42.30it/s] Loading 0: 84%|████████▎ | 304/363 [00:14<00:23, 2.47it/s] Loading 0: 85%|████████▍ | 308/363 [00:14<00:17, 3.18it/s] Loading 0: 86%|████████▌ | 312/363 [00:14<00:12, 4.08it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 6.80it/s] Loading 0: 90%|████████▉ | 325/363 [00:14<00:04, 8.85it/s] Loading 0: 91%|█████████ | 330/363 [00:14<00:03, 10.92it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 16.28it/s] Loading 0: 94%|█████████▍| 343/363 [00:15<00:01, 19.42it/s] Loading 0: 96%|█████████▌| 348/363 [00:15<00:00, 21.15it/s] Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 28.82it/s] Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 31.69it/s]
Job cgato-nemo-12b-thespice-1853-v1-mkmlizer completed after 114.39s with status: succeeded
Stopping job with name cgato-nemo-12b-thespice-1853-v1-mkmlizer
Pipeline stage MKMLizer completed in 114.95s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service cgato-nemo-12b-thespice-1853-v1
Waiting for inference service cgato-nemo-12b-thespice-1853-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission rica40325-10-14dpo_v2: ('http://rica40325-10-14dpo-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service cgato-nemo-12b-thespice-1853-v1 ready after 201.01998019218445s
Pipeline stage MKMLDeployer completed in 201.57s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3613457679748535s
Received healthy response to inference request in 2.105340003967285s
Received healthy response to inference request in 1.5726890563964844s
Received healthy response to inference request in 1.4550020694732666s
Received healthy response to inference request in 1.6224143505096436s
5 requests
0 failed requests
5th percentile: 1.4785394668579102
10th percentile: 1.5020768642425537
20th percentile: 1.5491516590118408
30th percentile: 1.5826341152191161
40th percentile: 1.6025242328643798
50th percentile: 1.6224143505096436
60th percentile: 1.8155846118927002
70th percentile: 2.0087548732757567
80th percentile: 2.1565411567687987
90th percentile: 2.258943462371826
95th percentile: 2.31014461517334
99th percentile: 2.3511055374145506
mean time: 1.8233582496643066
Pipeline stage StressChecker completed in 10.69s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 5.93s
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 2.42s
Shutdown handler de-registered
cgato-nemo-12b-thespice-_1853_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 0.11s
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 cgato-nemo-12b-thespice-1853-v1-profiler
Waiting for inference service cgato-nemo-12b-thespice-1853-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 3115.74s
Shutdown handler de-registered
cgato-nemo-12b-thespice-_1853_v1 status is now inactive due to auto deactivation removed underperforming models
cgato-nemo-12b-thespice-_1853_v1 status is now torndown due to DeploymentManager action