developer_uid: huohuo12
submission_id: ilyagusev-saiga-nemo-12b_v22
model_name: ilyagusev-saiga-nemo-12b_v19
model_group: IlyaGusev/saiga_nemo_12b
status: torndown
timestamp: 2025-02-18T11:29:21+00:00
num_battles: 6441
num_wins: 3053
celo_rating: 1242.26
family_friendly_score: 0.6497999999999999
family_friendly_standard_error: 0.006746257629234152
submission_type: basic
model_repo: IlyaGusev/saiga_nemo_12b
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: ilyagusev-saiga-nemo-12b_v19
is_internal_developer: False
language_model: IlyaGusev/saiga_nemo_12b
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-18
win_ratio: 0.4739947213165657
generation_params: {'temperature': 0.73, 'top_p': 0.87, 'min_p': 0.015, 'top_k': 42, 'presence_penalty': 0.65, 'frequency_penalty': 0.35, '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 ilyagusev-saiga-nemo-12b-v22-mkmlizer
Waiting for job on ilyagusev-saiga-nemo-12b-v22-mkmlizer to finish
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ _____ __ __ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ /___/ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ Version: 0.12.8 ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ https://mk1.ai ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ The license key for the current software has been verified as ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ belonging to: ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ Chai Research Corp. ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v22-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
ilyagusev-saiga-nemo-12b-v22-mkmlizer: Downloaded to shared memory in 32.534s
ilyagusev-saiga-nemo-12b-v22-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjeu_hb8l, device:0
ilyagusev-saiga-nemo-12b-v22-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ilyagusev-saiga-nemo-12b-v22-mkmlizer: quantized model in 39.232s
ilyagusev-saiga-nemo-12b-v22-mkmlizer: Processed model IlyaGusev/saiga_nemo_12b in 71.767s
ilyagusev-saiga-nemo-12b-v22-mkmlizer: creating bucket guanaco-mkml-models
ilyagusev-saiga-nemo-12b-v22-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ilyagusev-saiga-nemo-12b-v22-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v22
ilyagusev-saiga-nemo-12b-v22-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v22/config.json
ilyagusev-saiga-nemo-12b-v22-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v22/special_tokens_map.json
ilyagusev-saiga-nemo-12b-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v22/tokenizer_config.json
ilyagusev-saiga-nemo-12b-v22-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v22/tokenizer.json
ilyagusev-saiga-nemo-12b-v22-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v22/flywheel_model.0.safetensors
ilyagusev-saiga-nemo-12b-v22-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:13, 26.07it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:09, 36.04it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:11, 31.12it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:09, 36.23it/s] Loading 0: 6%|▋ | 23/363 [00:00<00:10, 31.99it/s] Loading 0: 8%|▊ | 28/363 [00:00<00:09, 36.45it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:10, 32.67it/s] Loading 0: 10%|█ | 37/363 [00:01<00:08, 37.00it/s] Loading 0: 11%|█▏ | 41/363 [00:01<00:09, 33.53it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:07, 40.86it/s] Loading 0: 15%|█▍ | 53/363 [00:01<00:07, 39.85it/s] Loading 0: 16%|█▌ | 58/363 [00:01<00:07, 40.50it/s] Loading 0: 17%|█▋ | 63/363 [00:01<00:11, 26.71it/s] Loading 0: 18%|█▊ | 67/363 [00:02<00:10, 28.38it/s] Loading 0: 20%|█▉ | 71/363 [00:02<00:09, 29.77it/s] Loading 0: 21%|██ | 75/363 [00:02<00:09, 29.45it/s] Loading 0: 22%|██▏ | 80/363 [00:02<00:08, 32.48it/s] Loading 0: 23%|██▎ | 84/363 [00:02<00:08, 32.25it/s] Loading 0: 25%|██▍ | 89/363 [00:02<00:07, 35.11it/s] Loading 0: 26%|██▌ | 93/363 [00:02<00:07, 34.21it/s] Loading 0: 27%|██▋ | 97/363 [00:02<00:07, 35.49it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:08, 32.74it/s] Loading 0: 29%|██▉ | 105/363 [00:03<00:07, 34.44it/s] Loading 0: 30%|███ | 110/363 [00:03<00:07, 35.80it/s] Loading 0: 31%|███▏ | 114/363 [00:03<00:07, 33.50it/s] Loading 0: 33%|███▎ | 118/363 [00:03<00:07, 31.64it/s] Loading 0: 34%|███▍ | 125/363 [00:03<00:06, 38.99it/s] Loading 0: 36%|███▌ | 129/363 [00:03<00:06, 37.05it/s] Loading 0: 37%|███▋ | 134/363 [00:03<00:06, 37.99it/s] Loading 0: 38%|███▊ | 138/363 [00:04<00:06, 35.83it/s] Loading 0: 39%|███▉ | 142/363 [00:04<00:08, 25.43it/s] Loading 0: 40%|███▉ | 145/363 [00:04<00:08, 24.71it/s] Loading 0: 41%|████ | 149/363 [00:04<00:08, 25.14it/s] Loading 0: 42%|████▏ | 154/363 [00:04<00:07, 29.63it/s] Loading 0: 44%|████▎ | 158/363 [00:04<00:07, 28.34it/s] Loading 0: 45%|████▌ | 165/363 [00:04<00:05, 35.93it/s] Loading 0: 47%|████▋ | 169/363 [00:05<00:05, 34.02it/s] Loading 0: 48%|████▊ | 173/363 [00:05<00:05, 35.37it/s] Loading 0: 49%|████▉ | 177/363 [00:05<00:05, 32.21it/s] Loading 0: 50%|████▉ | 181/363 [00:05<00:05, 33.19it/s] Loading 0: 51%|█████ | 185/363 [00:05<00:05, 29.86it/s] Loading 0: 52%|█████▏ | 190/363 [00:05<00:05, 34.07it/s] Loading 0: 53%|█████▎ | 194/363 [00:05<00:05, 31.24it/s] Loading 0: 55%|█████▍ | 199/363 [00:06<00:04, 34.97it/s] Loading 0: 56%|█████▌ | 203/363 [00:06<00:05, 31.27it/s] Loading 0: 57%|█████▋ | 208/363 [00:06<00:04, 35.26it/s] Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 31.56it/s] Loading 0: 60%|█████▉ | 217/363 [00:06<00:04, 34.96it/s] Loading 0: 61%|██████ | 222/363 [00:06<00:04, 34.25it/s] Loading 0: 62%|██████▏ | 226/363 [00:07<00:05, 22.95it/s] Loading 0: 63%|██████▎ | 230/363 [00:07<00:05, 23.27it/s] Loading 0: 65%|██████▍ | 235/363 [00:07<00:04, 27.58it/s] Loading 0: 66%|██████▌ | 239/363 [00:07<00:04, 26.54it/s] Loading 0: 67%|██████▋ | 244/363 [00:07<00:03, 30.30it/s] Loading 0: 68%|██████▊ | 248/363 [00:07<00:04, 28.70it/s] Loading 0: 70%|██████▉ | 253/363 [00:07<00:03, 32.47it/s] Loading 0: 71%|███████ | 257/363 [00:08<00:03, 29.56it/s] Loading 0: 72%|███████▏ | 262/363 [00:08<00:03, 33.58it/s] Loading 0: 73%|███████▎ | 266/363 [00:08<00:03, 30.79it/s] Loading 0: 75%|███████▍ | 271/363 [00:08<00:02, 34.14it/s] Loading 0: 76%|███████▌ | 275/363 [00:08<00:02, 30.41it/s] Loading 0: 77%|███████▋ | 280/363 [00:08<00:02, 34.53it/s] Loading 0: 78%|███████▊ | 284/363 [00:08<00:02, 31.68it/s] Loading 0: 80%|███████▉ | 289/363 [00:08<00:02, 35.04it/s] Loading 0: 81%|████████ | 293/363 [00:09<00:02, 32.60it/s] Loading 0: 82%|████████▏ | 298/363 [00:09<00:01, 36.25it/s] Loading 0: 83%|████████▎ | 303/363 [00:09<00:01, 36.60it/s] Loading 0: 85%|████████▍ | 307/363 [00:16<00:27, 2.06it/s] Loading 0: 86%|████████▌ | 312/363 [00:16<00:17, 2.96it/s] Loading 0: 87%|████████▋ | 317/363 [00:16<00:10, 4.21it/s] Loading 0: 88%|████████▊ | 321/363 [00:16<00:07, 5.42it/s] Loading 0: 90%|█████████ | 328/363 [00:16<00:04, 8.49it/s] Loading 0: 92%|█████████▏| 333/363 [00:16<00:02, 10.98it/s] Loading 0: 93%|█████████▎| 338/363 [00:17<00:01, 13.92it/s] Loading 0: 94%|█████████▍| 342/363 [00:17<00:01, 16.53it/s] Loading 0: 95%|█████████▌| 346/363 [00:17<00:00, 19.43it/s] Loading 0: 96%|█████████▋| 350/363 [00:17<00:00, 21.76it/s] Loading 0: 98%|█████████▊| 355/363 [00:17<00:00, 26.01it/s] Loading 0: 99%|█████████▉| 359/363 [00:17<00:00, 27.34it/s] Loading 0: 100%|██████████| 363/363 [00:17<00:00, 29.79it/s]
Job ilyagusev-saiga-nemo-12b-v22-mkmlizer completed after 104.03s with status: succeeded
Stopping job with name ilyagusev-saiga-nemo-12b-v22-mkmlizer
Pipeline stage MKMLizer completed in 104.50s
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 ilyagusev-saiga-nemo-12b-v22
Waiting for inference service ilyagusev-saiga-nemo-12b-v22 to be ready
Inference service ilyagusev-saiga-nemo-12b-v22 ready after 220.72290658950806s
Pipeline stage MKMLDeployer completed in 221.27s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.6136562824249268s
Received healthy response to inference request in 1.6539804935455322s
Received healthy response to inference request in 1.5541613101959229s
Received healthy response to inference request in 1.522012710571289s
Received healthy response to inference request in 1.7115328311920166s
5 requests
0 failed requests
5th percentile: 1.5284424304962159
10th percentile: 1.5348721504211427
20th percentile: 1.547731590270996
30th percentile: 1.5741251468658448
40th percentile: 1.6140528202056885
50th percentile: 1.6539804935455322
60th percentile: 1.677001428604126
70th percentile: 1.7000223636627196
80th percentile: 1.8919575214385989
90th percentile: 2.2528069019317627
95th percentile: 2.4332315921783447
99th percentile: 2.5775713443756105
mean time: 1.8110687255859375
Pipeline stage StressChecker completed in 10.40s
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 0.68s
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
ilyagusev-saiga-nemo-12b_v22 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 2688.87s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v22 status is now inactive due to auto deactivation removed underperforming models
ilyagusev-saiga-nemo-12b_v22 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v22 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v22 status is now torndown due to DeploymentManager action