submission_id: cgato-nemo-12b-thespice-_3970_v1
developer_uid: c.gato
best_of: 8
celo_rating: 1264.77
display_name: cgato-nemo-12b-thespice-_3970_v1
family_friendly_score: 0.5728
family_friendly_standard_error: 0.006995715260071696
formatter: {'memory_template': '<|im_start|>system\n{memory}\n', 'prompt_template': '\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}
is_internal_developer: False
language_model: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Quick
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: cgato/Nemo-12b-TheSpice-
model_name: cgato-nemo-12b-thespice-_3970_v1
model_num_parameters: 12772121600.0
model_repo: cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Quick
model_size: 13B
num_battles: 19457
num_wins: 10371
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-11-04T22:57:27+00:00
us_pacific_date: 2024-11-04
win_ratio: 0.533021534666187
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-3970-v1-mkmlizer
Waiting for job on cgato-nemo-12b-thespice-3970-v1-mkmlizer to finish
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║     _____            __           __                                ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║       /___/                                                         ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  belonging to:                                                      ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ║                                                                     ║
cgato-nemo-12b-thespice-3970-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-nemo-12b-thespice-3970-v1-mkmlizer: Downloaded to shared memory in 50.162s
cgato-nemo-12b-thespice-3970-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptdc9tm13, device:0
cgato-nemo-12b-thespice-3970-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-nemo-12b-thespice-3970-v1-mkmlizer: quantized model in 35.538s
cgato-nemo-12b-thespice-3970-v1-mkmlizer: Processed model cgato/Nemo-12b-TheSpice-V0.9-All-v2-KTO-v0.3-Quick in 85.701s
cgato-nemo-12b-thespice-3970-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-nemo-12b-thespice-3970-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-nemo-12b-thespice-3970-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-nemo-12b-thespice-3970-v1
cgato-nemo-12b-thespice-3970-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-3970-v1/config.json
cgato-nemo-12b-thespice-3970-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-3970-v1/special_tokens_map.json
cgato-nemo-12b-thespice-3970-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-3970-v1/tokenizer_config.json
cgato-nemo-12b-thespice-3970-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-nemo-12b-thespice-3970-v1/tokenizer.json
cgato-nemo-12b-thespice-3970-v1-mkmlizer: 
Loading 0:   0%|          | 0/363 [00:00<?, ?it/s]
Loading 0:   1%|▏         | 5/363 [00:00<00:12, 28.93it/s]
Loading 0:   4%|▎         | 13/363 [00:00<00:07, 47.52it/s]
Loading 0:   5%|▌         | 19/363 [00:00<00:07, 44.85it/s]
Loading 0:   7%|▋         | 24/363 [00:00<00:07, 42.80it/s]
Loading 0:   9%|▊         | 31/363 [00:00<00:06, 49.45it/s]
Loading 0:  10%|█         | 37/363 [00:00<00:06, 46.60it/s]
Loading 0:  12%|█▏        | 42/363 [00:00<00:06, 46.06it/s]
Loading 0:  13%|█▎        | 49/363 [00:01<00:06, 51.76it/s]
Loading 0:  15%|█▌        | 55/363 [00:01<00:06, 46.97it/s]
Loading 0:  17%|█▋        | 61/363 [00:01<00:08, 33.71it/s]
Loading 0:  18%|█▊        | 65/363 [00:01<00:08, 33.18it/s]
Loading 0:  20%|█▉        | 72/363 [00:01<00:07, 40.46it/s]
Loading 0:  21%|██        | 77/363 [00:01<00:06, 42.54it/s]
Loading 0:  23%|██▎       | 82/363 [00:01<00:07, 38.58it/s]
Loading 0:  25%|██▍       | 90/363 [00:02<00:05, 46.17it/s]
Loading 0:  26%|██▋       | 96/363 [00:02<00:05, 45.81it/s]
Loading 0:  28%|██▊       | 101/363 [00:02<00:05, 45.23it/s]
Loading 0:  30%|██▉       | 108/363 [00:02<00:04, 51.20it/s]
Loading 0:  31%|███▏      | 114/363 [00:02<00:05, 41.92it/s]
Loading 0:  33%|███▎      | 119/363 [00:02<00:05, 41.93it/s]
Loading 0:  34%|███▍      | 125/363 [00:02<00:05, 46.15it/s]
Loading 0:  36%|███▌      | 130/363 [00:02<00:05, 46.52it/s]
Loading 0:  37%|███▋      | 135/363 [00:03<00:04, 46.98it/s]
Loading 0:  39%|███▉      | 141/363 [00:03<00:04, 44.89it/s]
Loading 0:  40%|████      | 146/363 [00:03<00:07, 30.41it/s]
Loading 0:  41%|████▏     | 150/363 [00:03<00:07, 29.30it/s]
Loading 0:  42%|████▏     | 154/363 [00:03<00:06, 30.81it/s]
Loading 0:  44%|████▎     | 158/363 [00:03<00:06, 30.56it/s]
Loading 0:  46%|████▌     | 166/363 [00:04<00:04, 40.34it/s]
Loading 0:  47%|████▋     | 172/363 [00:04<00:04, 41.62it/s]
Loading 0:  49%|████▉     | 177/363 [00:04<00:04, 42.08it/s]
Loading 0:  51%|█████     | 184/363 [00:04<00:03, 47.70it/s]
Loading 0:  52%|█████▏    | 190/363 [00:04<00:03, 46.92it/s]
Loading 0:  54%|█████▎    | 195/363 [00:04<00:03, 46.72it/s]
Loading 0:  56%|█████▌    | 202/363 [00:04<00:03, 51.95it/s]
Loading 0:  57%|█████▋    | 208/363 [00:04<00:03, 49.93it/s]
Loading 0:  59%|█████▉    | 214/363 [00:05<00:02, 49.75it/s]
Loading 0:  61%|██████    | 222/363 [00:05<00:02, 51.24it/s]
Loading 0:  63%|██████▎   | 228/363 [00:05<00:03, 35.25it/s]
Loading 0:  64%|██████▍   | 233/363 [00:05<00:03, 37.27it/s]
Loading 0:  66%|██████▌   | 238/363 [00:05<00:03, 39.79it/s]
Loading 0:  67%|██████▋   | 244/363 [00:05<00:02, 41.00it/s]
Loading 0:  69%|██████▊   | 249/363 [00:05<00:02, 39.49it/s]
Loading 0:  70%|███████   | 255/363 [00:06<00:02, 42.46it/s]
Loading 0:  72%|███████▏  | 261/363 [00:06<00:02, 46.12it/s]
Loading 0:  73%|███████▎  | 266/363 [00:06<00:02, 40.68it/s]
Loading 0:  75%|███████▌  | 274/363 [00:06<00:01, 48.02it/s]
Loading 0:  77%|███████▋  | 280/363 [00:06<00:01, 46.49it/s]
Loading 0:  79%|███████▊  | 285/363 [00:06<00:01, 44.87it/s]
Loading 0:  80%|████████  | 292/363 [00:06<00:01, 49.13it/s]
Loading 0:  82%|████████▏ | 298/363 [00:06<00:01, 45.31it/s]
Loading 0:  84%|████████▎ | 304/363 [00:13<00:20,  2.88it/s]
Loading 0:  85%|████████▍ | 308/363 [00:13<00:15,  3.59it/s]
Loading 0:  86%|████████▌ | 312/363 [00:14<00:11,  4.49it/s]
Loading 0:  88%|████████▊ | 320/363 [00:14<00:05,  7.25it/s]
Loading 0:  90%|████████▉ | 326/363 [00:14<00:03,  9.73it/s]
Loading 0:  91%|█████████ | 331/363 [00:14<00:02, 12.28it/s]
Loading 0:  93%|█████████▎| 338/363 [00:14<00:01, 17.05it/s]
Loading 0:  94%|█████████▍| 343/363 [00:14<00:00, 20.40it/s]
Loading 0:  96%|█████████▌| 348/363 [00:14<00:00, 21.89it/s]
Loading 0:  98%|█████████▊| 356/363 [00:14<00:00, 30.00it/s]
Loading 0: 100%|█████████▉| 362/363 [00:15<00:00, 33.34it/s]
                                                            

Job cgato-nemo-12b-thespice-3970-v1-mkmlizer completed after 114.45s with status: succeeded
Stopping job with name cgato-nemo-12b-thespice-3970-v1-mkmlizer
Pipeline stage MKMLizer completed in 115.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service cgato-nemo-12b-thespice-3970-v1
Waiting for inference service cgato-nemo-12b-thespice-3970-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
Inference service cgato-nemo-12b-thespice-3970-v1 ready after 150.83658528327942s
Pipeline stage MKMLDeployer completed in 151.83s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.569120407104492s
Received healthy response to inference request in 2.246051073074341s
Received healthy response to inference request in 1.6745624542236328s
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
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
Received healthy response to inference request in 1.7138948440551758s
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
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
Received healthy response to inference request in 1.6028757095336914s
5 requests
0 failed requests
5th percentile: 1.6172130584716797
10th percentile: 1.631550407409668
20th percentile: 1.6602251052856445
30th percentile: 1.6824289321899415
40th percentile: 1.6981618881225586
50th percentile: 1.7138948440551758
60th percentile: 1.9267573356628418
70th percentile: 2.139619827270508
80th percentile: 2.3106649398803714
90th percentile: 2.4398926734924316
95th percentile: 2.5045065402984616
99th percentile: 2.556197633743286
mean time: 1.9613008975982666
Pipeline stage StressChecker completed in 11.95s
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
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 6.27s
Shutdown handler de-registered
cgato-nemo-12b-thespice-_3970_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
Pipeline stage OfflineFamilyFriendlyScorer completed in 2684.67s
Shutdown handler de-registered
cgato-nemo-12b-thespice-_3970_v1 status is now inactive due to auto deactivation removed underperforming models