developer_uid: huohuo12
submission_id: ilyagusev-saiga-nemo-12b_v23
model_name: ilyagusev-saiga-nemo-12b_v23
model_group: IlyaGusev/saiga_nemo_12b
status: torndown
timestamp: 2025-02-18T11:31:10+00:00
num_battles: 6030
num_wins: 2783
celo_rating: 1235.29
family_friendly_score: 0.6526000000000001
family_friendly_standard_error: 0.00673369497378668
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_v23
is_internal_developer: False
language_model: IlyaGusev/saiga_nemo_12b
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-18
win_ratio: 0.4615257048092869
generation_params: {'temperature': 0.66, 'top_p': 0.9, 'min_p': 0.025, 'top_k': 30, 'presence_penalty': 0.65, 'frequency_penalty': 0.2, '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-v23-mkmlizer
Waiting for job on ilyagusev-saiga-nemo-12b-v23-mkmlizer to finish
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ _____ __ __ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ /___/ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ Version: 0.12.8 ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ https://mk1.ai ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ The license key for the current software has been verified as ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ belonging to: ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ Chai Research Corp. ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ║ ║
ilyagusev-saiga-nemo-12b-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission blend_lidos_2025-02-16: HTTPConnectionPool(host='blend-rosit-2025-02-16-predictor.tenant-chaiml-guanaco.k2.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
ilyagusev-saiga-nemo-12b-v23-mkmlizer: Downloaded to shared memory in 31.711s
ilyagusev-saiga-nemo-12b-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp83dn3fki, device:0
ilyagusev-saiga-nemo-12b-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ilyagusev-saiga-nemo-12b-v23-mkmlizer: quantized model in 39.760s
ilyagusev-saiga-nemo-12b-v23-mkmlizer: Processed model IlyaGusev/saiga_nemo_12b in 71.472s
ilyagusev-saiga-nemo-12b-v23-mkmlizer: creating bucket guanaco-mkml-models
ilyagusev-saiga-nemo-12b-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ilyagusev-saiga-nemo-12b-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v23
ilyagusev-saiga-nemo-12b-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v23/tokenizer_config.json
ilyagusev-saiga-nemo-12b-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v23/tokenizer.json
ilyagusev-saiga-nemo-12b-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v23/flywheel_model.0.safetensors
ilyagusev-saiga-nemo-12b-v23-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:13, 27.28it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:08, 42.89it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:08, 40.05it/s] Loading 0: 6%|▌ | 22/363 [00:00<00:08, 38.22it/s] Loading 0: 7%|▋ | 26/363 [00:00<00:09, 36.49it/s] Loading 0: 8%|▊ | 30/363 [00:00<00:09, 35.35it/s] Loading 0: 9%|▉ | 34/363 [00:00<00:09, 33.25it/s] Loading 0: 10%|█ | 38/363 [00:01<00:09, 34.65it/s] Loading 0: 12%|█▏ | 42/363 [00:01<00:10, 31.11it/s] Loading 0: 13%|█▎ | 46/363 [00:01<00:09, 32.90it/s] Loading 0: 14%|█▍ | 50/363 [00:01<00:10, 30.16it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:08, 34.54it/s] Loading 0: 17%|█▋ | 60/363 [00:01<00:08, 35.70it/s] Loading 0: 18%|█▊ | 64/363 [00:02<00:13, 21.36it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:11, 26.30it/s] Loading 0: 20%|██ | 73/363 [00:02<00:11, 26.33it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:09, 30.87it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:09, 29.40it/s] Loading 0: 24%|██▍ | 87/363 [00:02<00:08, 33.56it/s] Loading 0: 25%|██▌ | 91/363 [00:02<00:08, 30.81it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:07, 34.44it/s] Loading 0: 28%|██▊ | 100/363 [00:03<00:08, 30.54it/s] Loading 0: 29%|██▉ | 105/363 [00:03<00:07, 34.34it/s] Loading 0: 30%|███ | 110/363 [00:03<00:07, 36.02it/s] Loading 0: 31%|███▏ | 114/363 [00:03<00:07, 33.81it/s] Loading 0: 33%|███▎ | 118/363 [00:03<00:08, 30.60it/s] Loading 0: 34%|███▍ | 123/363 [00:03<00:06, 34.60it/s] Loading 0: 35%|███▍ | 127/363 [00:03<00:07, 31.69it/s] Loading 0: 36%|███▋ | 132/363 [00:04<00:06, 35.37it/s] Loading 0: 37%|███▋ | 136/363 [00:04<00:07, 32.27it/s] Loading 0: 39%|███▉ | 141/363 [00:04<00:06, 35.58it/s] Loading 0: 40%|███▉ | 145/363 [00:04<00:09, 23.42it/s] Loading 0: 41%|████ | 149/363 [00:04<00:08, 24.03it/s] Loading 0: 42%|████▏ | 154/363 [00:04<00:07, 28.48it/s] Loading 0: 44%|████▎ | 158/363 [00:05<00:07, 26.07it/s] Loading 0: 45%|████▍ | 163/363 [00:05<00:06, 30.52it/s] Loading 0: 46%|████▌ | 167/363 [00:05<00:06, 28.80it/s] Loading 0: 47%|████▋ | 172/363 [00:05<00:05, 32.41it/s] Loading 0: 48%|████▊ | 176/363 [00:05<00:06, 30.24it/s] Loading 0: 50%|████▉ | 181/363 [00:05<00:05, 34.06it/s] Loading 0: 51%|█████ | 185/363 [00:05<00:05, 31.11it/s] Loading 0: 52%|█████▏ | 190/363 [00:06<00:04, 35.06it/s] Loading 0: 53%|█████▎ | 194/363 [00:06<00:05, 31.67it/s] Loading 0: 55%|█████▍ | 199/363 [00:06<00:04, 35.08it/s] Loading 0: 56%|█████▌ | 203/363 [00:06<00:05, 29.22it/s] Loading 0: 57%|█████▋ | 208/363 [00:06<00:04, 32.99it/s] Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 30.23it/s] Loading 0: 60%|█████▉ | 217/363 [00:06<00:04, 32.48it/s] Loading 0: 61%|██████ | 222/363 [00:07<00:04, 33.37it/s] Loading 0: 62%|██████▏ | 226/363 [00:07<00:05, 23.23it/s] Loading 0: 63%|██████▎ | 230/363 [00:07<00:05, 23.46it/s] Loading 0: 65%|██████▍ | 235/363 [00:07<00:04, 27.93it/s] Loading 0: 66%|██████▌ | 239/363 [00:07<00:04, 26.97it/s] Loading 0: 67%|██████▋ | 244/363 [00:07<00:03, 30.93it/s] Loading 0: 68%|██████▊ | 248/363 [00:08<00:03, 28.99it/s] Loading 0: 70%|██████▉ | 253/363 [00:08<00:03, 33.04it/s] Loading 0: 71%|███████ | 257/363 [00:08<00:03, 30.18it/s] Loading 0: 72%|███████▏ | 262/363 [00:08<00:02, 34.26it/s] Loading 0: 73%|███████▎ | 266/363 [00:08<00:03, 31.25it/s] Loading 0: 75%|███████▍ | 271/363 [00:08<00:02, 34.89it/s] Loading 0: 76%|███████▌ | 275/363 [00:08<00:02, 31.51it/s] Loading 0: 77%|███████▋ | 280/363 [00:08<00:02, 35.24it/s] Loading 0: 78%|███████▊ | 284/363 [00:09<00:02, 31.58it/s] Loading 0: 80%|███████▉ | 289/363 [00:09<00:02, 34.69it/s] Loading 0: 81%|████████ | 293/363 [00:09<00:02, 30.75it/s] Loading 0: 82%|████████▏ | 298/363 [00:09<00:01, 34.84it/s] Loading 0: 83%|████████▎ | 303/363 [00:09<00:01, 35.83it/s] Loading 0: 85%|████████▍ | 307/363 [00:16<00:27, 2.07it/s] Loading 0: 86%|████████▌ | 312/363 [00:16<00:17, 2.96it/s] Loading 0: 87%|████████▋ | 317/363 [00:16<00:10, 4.20it/s] Loading 0: 88%|████████▊ | 321/363 [00:17<00:07, 5.39it/s] Loading 0: 90%|████████▉ | 326/363 [00:17<00:04, 7.54it/s] Loading 0: 91%|█████████ | 330/363 [00:17<00:03, 9.33it/s] Loading 0: 92%|█████████▏| 335/363 [00:17<00:02, 12.65it/s] Loading 0: 93%|█████████▎| 339/363 [00:17<00:01, 14.63it/s] Loading 0: 95%|█████████▍| 344/363 [00:17<00:01, 18.76it/s] Loading 0: 96%|█████████▌| 348/363 [00:17<00:00, 20.39it/s] Loading 0: 97%|█████████▋| 353/363 [00:17<00:00, 25.11it/s] Loading 0: 98%|█████████▊| 357/363 [00:18<00:00, 25.36it/s] Loading 0: 100%|██████████| 363/363 [00:18<00:00, 32.18it/s]
Job ilyagusev-saiga-nemo-12b-v23-mkmlizer completed after 103.76s with status: succeeded
Stopping job with name ilyagusev-saiga-nemo-12b-v23-mkmlizer
Pipeline stage MKMLizer completed in 104.21s
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 ilyagusev-saiga-nemo-12b-v23
Waiting for inference service ilyagusev-saiga-nemo-12b-v23 to be ready
Inference service ilyagusev-saiga-nemo-12b-v23 ready after 230.86453485488892s
Pipeline stage MKMLDeployer completed in 231.36s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5463078022003174s
Received healthy response to inference request in 1.7039594650268555s
Received healthy response to inference request in 1.6324317455291748s
Received healthy response to inference request in 1.7422378063201904s
Received healthy response to inference request in 1.7905042171478271s
5 requests
0 failed requests
5th percentile: 1.646737289428711
10th percentile: 1.661042833328247
20th percentile: 1.6896539211273194
30th percentile: 1.7116151332855225
40th percentile: 1.7269264698028564
50th percentile: 1.7422378063201904
60th percentile: 1.761544370651245
70th percentile: 1.7808509349822998
80th percentile: 1.9416649341583254
90th percentile: 2.2439863681793213
95th percentile: 2.3951470851898193
99th percentile: 2.5160756587982176
mean time: 1.8830882072448731
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
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.62s
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 0.65s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v23 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service ilyagusev-saiga-nemo-12b-v23-profiler
Waiting for inference service ilyagusev-saiga-nemo-12b-v23-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 2655.60s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v23 status is now inactive due to auto deactivation removed underperforming models
ilyagusev-saiga-nemo-12b_v23 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v23 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v23 status is now torndown due to DeploymentManager action