developer_uid: huohuo12
submission_id: ilyagusev-saiga-nemo-12b_v17
model_name: ilyagusev-saiga-nemo-12b_v15
model_group: IlyaGusev/saiga_nemo_12b
status: torndown
timestamp: 2025-02-18T10:54:22+00:00
num_battles: 6605
num_wins: 3069
celo_rating: 1239.9
family_friendly_score: 0.6502
family_friendly_standard_error: 0.006744478630702302
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_v15
is_internal_developer: False
language_model: IlyaGusev/saiga_nemo_12b
model_size: 13B
ranking_group: single
us_pacific_date: 2025-02-18
win_ratio: 0.4646479939439818
generation_params: {'temperature': 0.6, 'top_p': 0.49, 'min_p': 0.015, 'top_k': 56, 'presence_penalty': 0.65, 'frequency_penalty': 0.4, '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-v17-mkmlizer
Waiting for job on ilyagusev-saiga-nemo-12b-v17-mkmlizer to finish
ilyagusev-saiga-nemo-12b-v17-mkmlizer: Downloaded to shared memory in 32.239s
ilyagusev-saiga-nemo-12b-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_uf1am47, device:0
ilyagusev-saiga-nemo-12b-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
ilyagusev-saiga-nemo-12b-v17-mkmlizer: quantized model in 38.933s
ilyagusev-saiga-nemo-12b-v17-mkmlizer: Processed model IlyaGusev/saiga_nemo_12b in 71.172s
ilyagusev-saiga-nemo-12b-v17-mkmlizer: creating bucket guanaco-mkml-models
ilyagusev-saiga-nemo-12b-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
ilyagusev-saiga-nemo-12b-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v17
ilyagusev-saiga-nemo-12b-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v17/config.json
ilyagusev-saiga-nemo-12b-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v17/special_tokens_map.json
ilyagusev-saiga-nemo-12b-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v17/tokenizer_config.json
ilyagusev-saiga-nemo-12b-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v17/tokenizer.json
ilyagusev-saiga-nemo-12b-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/ilyagusev-saiga-nemo-12b-v17/flywheel_model.0.safetensors
ilyagusev-saiga-nemo-12b-v17-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:12, 28.43it/s] Loading 0: 3%|▎ | 12/363 [00:00<00:08, 43.39it/s] Loading 0: 5%|▍ | 17/363 [00:00<00:08, 40.71it/s] Loading 0: 6%|▌ | 22/363 [00:00<00:08, 39.51it/s] Loading 0: 7%|▋ | 27/363 [00:00<00:08, 40.45it/s] Loading 0: 9%|▉ | 32/363 [00:00<00:10, 31.83it/s] Loading 0: 11%|█ | 39/363 [00:01<00:08, 39.09it/s] Loading 0: 12%|█▏ | 44/363 [00:01<00:08, 38.59it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:08, 38.41it/s] Loading 0: 15%|█▍ | 54/363 [00:01<00:07, 39.26it/s] Loading 0: 16%|█▋ | 59/363 [00:01<00:07, 39.63it/s] Loading 0: 18%|█▊ | 64/363 [00:01<00:12, 23.31it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:10, 27.49it/s] Loading 0: 20%|██ | 73/363 [00:02<00:10, 27.13it/s] Loading 0: 21%|██▏ | 78/363 [00:02<00:09, 31.27it/s] Loading 0: 23%|██▎ | 82/363 [00:02<00:09, 29.14it/s] Loading 0: 24%|██▍ | 87/363 [00:02<00:08, 33.03it/s] Loading 0: 25%|██▌ | 91/363 [00:02<00:08, 30.55it/s] Loading 0: 26%|██▋ | 96/363 [00:02<00:07, 34.04it/s] Loading 0: 28%|██▊ | 100/363 [00:03<00:08, 30.61it/s] Loading 0: 29%|██▉ | 105/363 [00:03<00:07, 34.54it/s] Loading 0: 30%|███ | 110/363 [00:03<00:07, 35.55it/s] Loading 0: 31%|███▏ | 114/363 [00:03<00:07, 33.20it/s] Loading 0: 33%|███▎ | 118/363 [00:03<00:07, 30.71it/s] Loading 0: 34%|███▍ | 123/363 [00:03<00:06, 34.75it/s] Loading 0: 35%|███▍ | 127/363 [00:03<00:07, 31.85it/s] Loading 0: 36%|███▋ | 132/363 [00:03<00:06, 35.25it/s] Loading 0: 37%|███▋ | 136/363 [00:04<00:07, 32.00it/s] Loading 0: 39%|███▉ | 141/363 [00:04<00:06, 36.23it/s] Loading 0: 40%|███▉ | 145/363 [00:04<00:08, 24.63it/s] Loading 0: 41%|████ | 149/363 [00:04<00:08, 25.26it/s] Loading 0: 42%|████▏ | 154/363 [00:04<00:06, 29.96it/s] Loading 0: 44%|████▎ | 158/363 [00:04<00:07, 28.47it/s] Loading 0: 45%|████▍ | 163/363 [00:05<00:06, 32.87it/s] Loading 0: 46%|████▌ | 167/363 [00:05<00:06, 30.95it/s] Loading 0: 47%|████▋ | 172/363 [00:05<00:05, 35.15it/s] Loading 0: 48%|████▊ | 176/363 [00:05<00:05, 32.17it/s] Loading 0: 50%|████▉ | 181/363 [00:05<00:05, 36.31it/s] Loading 0: 51%|█████ | 185/363 [00:05<00:05, 32.69it/s] Loading 0: 52%|█████▏ | 190/363 [00:05<00:04, 36.51it/s] Loading 0: 53%|█████▎ | 194/363 [00:05<00:05, 32.26it/s] Loading 0: 55%|█████▍ | 199/363 [00:06<00:04, 36.42it/s] Loading 0: 56%|█████▌ | 203/363 [00:06<00:04, 32.95it/s] Loading 0: 57%|█████▋ | 208/363 [00:06<00:04, 36.63it/s] Loading 0: 58%|█████▊ | 212/363 [00:06<00:04, 32.73it/s] Loading 0: 60%|█████▉ | 217/363 [00:06<00:04, 36.44it/s] Loading 0: 61%|██████ | 222/363 [00:06<00:03, 36.99it/s] Loading 0: 62%|██████▏ | 226/363 [00:07<00:05, 24.03it/s] Loading 0: 63%|██████▎ | 230/363 [00:07<00:05, 24.17it/s] Loading 0: 65%|██████▍ | 235/363 [00:07<00:04, 28.13it/s] Loading 0: 66%|██████▌ | 239/363 [00:07<00:04, 26.91it/s] Loading 0: 67%|██████▋ | 244/363 [00:07<00:03, 31.12it/s] Loading 0: 68%|██████▊ | 248/363 [00:07<00:03, 29.03it/s] Loading 0: 70%|██████▉ | 253/363 [00:07<00:03, 33.06it/s] Loading 0: 71%|███████ | 257/363 [00:07<00:03, 30.55it/s] Loading 0: 72%|███████▏ | 262/363 [00:08<00:02, 34.66it/s] Loading 0: 73%|███████▎ | 266/363 [00:08<00:03, 31.27it/s] Loading 0: 75%|███████▍ | 271/363 [00:08<00:02, 34.69it/s] Loading 0: 76%|███████▌ | 275/363 [00:08<00:02, 31.39it/s] Loading 0: 77%|███████▋ | 280/363 [00:08<00:02, 34.91it/s] Loading 0: 78%|███████▊ | 284/363 [00:08<00:02, 31.29it/s] Loading 0: 80%|███████▉ | 289/363 [00:08<00:02, 35.33it/s] Loading 0: 81%|████████ | 293/363 [00:09<00:02, 31.95it/s] Loading 0: 82%|████████▏ | 298/363 [00:09<00:01, 35.46it/s] Loading 0: 83%|████████▎ | 303/363 [00:09<00:01, 36.14it/s] Loading 0: 85%|████████▍ | 307/363 [00:16<00:26, 2.07it/s] Loading 0: 86%|████████▌ | 312/363 [00:16<00:17, 2.97it/s] Loading 0: 88%|████████▊ | 319/363 [00:16<00:09, 4.74it/s] Loading 0: 89%|████████▉ | 323/363 [00:16<00:06, 5.98it/s] Loading 0: 90%|█████████ | 328/363 [00:16<00:04, 8.06it/s] Loading 0: 91%|█████████▏| 332/363 [00:16<00:03, 9.97it/s] Loading 0: 93%|█████████▎| 337/363 [00:16<00:01, 13.15it/s] Loading 0: 94%|█████████▍| 341/363 [00:17<00:01, 15.58it/s] Loading 0: 95%|█████████▌| 346/363 [00:17<00:00, 19.62it/s] Loading 0: 96%|█████████▋| 350/363 [00:17<00:00, 21.82it/s] Loading 0: 98%|█████████▊| 355/363 [00:17<00:00, 25.86it/s] Loading 0: 99%|█████████▉| 359/363 [00:17<00:00, 27.23it/s]
Job ilyagusev-saiga-nemo-12b-v17-mkmlizer completed after 205.67s with status: succeeded
Stopping job with name ilyagusev-saiga-nemo-12b-v17-mkmlizer
Pipeline stage MKMLizer completed in 206.12s
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-v17
Waiting for inference service ilyagusev-saiga-nemo-12b-v17 to be ready
Inference service ilyagusev-saiga-nemo-12b-v17 ready after 220.74127793312073s
Pipeline stage MKMLDeployer completed in 221.24s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4578545093536377s
Received healthy response to inference request in 2.097296714782715s
Received healthy response to inference request in 1.6986818313598633s
Received healthy response to inference request in 1.5433073043823242s
Received healthy response to inference request in 1.594862461090088s
5 requests
0 failed requests
5th percentile: 1.5536183357238769
10th percentile: 1.5639293670654297
20th percentile: 1.5845514297485352
30th percentile: 1.615626335144043
40th percentile: 1.6571540832519531
50th percentile: 1.6986818313598633
60th percentile: 1.8581277847290039
70th percentile: 2.0175737380981444
80th percentile: 2.1694082736968996
90th percentile: 2.3136313915252686
95th percentile: 2.385742950439453
99th percentile: 2.4434321975708007
mean time: 1.8784005641937256
Pipeline stage StressChecker completed in 10.51s
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 0.59s
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 0.61s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v17 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 0.08s
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-v17-profiler
Waiting for inference service ilyagusev-saiga-nemo-12b-v17-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 2666.83s
Shutdown handler de-registered
ilyagusev-saiga-nemo-12b_v17 status is now inactive due to auto deactivation removed underperforming models
ilyagusev-saiga-nemo-12b_v17 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v17 status is now torndown due to DeploymentManager action
ilyagusev-saiga-nemo-12b_v17 status is now torndown due to DeploymentManager action