developer_uid: Sao10K
submission_id: sao10k-steertama-l3-1-8b-v1-1_v2
model_name: Steertama-L3-fix-run1
model_group: Sao10K/Steertama-L3.1-8B
status: inactive
timestamp: 2024-12-06T07:07:27+00:00
num_battles: 6804
num_wins: 3237
celo_rating: 1239.21
family_friendly_score: 0.579
family_friendly_standard_error: 0.006982248921371967
submission_type: basic
model_repo: Sao10K/Steertama-L3.1-8B-v1.1
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.871743716587054, 'latency_mean': 1.147049276828766, 'latency_p50': 1.1457200050354004, 'latency_p90': 1.2611178398132323}, {'batch_size': 4, 'throughput': 1.859240495241566, 'latency_mean': 2.1415856647491456, 'latency_p50': 2.1334383487701416, 'latency_p90': 2.3659793853759763}, {'batch_size': 5, 'throughput': 2.015998257273235, 'latency_mean': 2.4721602392196655, 'latency_p50': 2.463542103767395, 'latency_p90': 2.806086015701294}, {'batch_size': 8, 'throughput': 2.225710307122842, 'latency_mean': 3.568293888568878, 'latency_p50': 3.5740875005722046, 'latency_p90': 4.0108437776565555}, {'batch_size': 10, 'throughput': 2.289388832342124, 'latency_mean': 4.32714761376381, 'latency_p50': 4.320460796356201, 'latency_p90': 5.006307864189148}, {'batch_size': 12, 'throughput': 2.3099722242393086, 'latency_mean': 5.147676059007645, 'latency_p50': 5.135173201560974, 'latency_p90': 5.911108207702637}, {'batch_size': 15, 'throughput': 2.3330261784527813, 'latency_mean': 6.336354659795761, 'latency_p50': 6.289349794387817, 'latency_p90': 7.0633036375045775}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: Steertama-L3-fix-run1
is_internal_developer: False
language_model: Sao10K/Steertama-L3.1-8B-v1.1
model_size: 8B
ranking_group: single
throughput_3p7s: 2.26
us_pacific_date: 2024-12-05
win_ratio: 0.4757495590828924
generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '\nYou:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{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 sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer
Waiting for job on sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer to finish
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ _____ __ __ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ /___/ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ Version: 0.11.12 ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ https://mk1.ai ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ belonging to: ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ Chai Research Corp. ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ║ ║
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: Downloaded to shared memory in 19.232s
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpbe9vv71p, device:0
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: quantized model in 26.163s
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: Processed model Sao10K/Steertama-L3.1-8B-v1.1 in 45.396s
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-steertama-l3-1-8b-v1-1-v2
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-steertama-l3-1-8b-v1-1-v2/config.json
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-steertama-l3-1-8b-v1-1-v2/special_tokens_map.json
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-steertama-l3-1-8b-v1-1-v2/tokenizer_config.json
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-steertama-l3-1-8b-v1-1-v2/tokenizer.json
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-steertama-l3-1-8b-v1-1-v2/flywheel_model.0.safetensors
sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:08, 34.04it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:05, 48.03it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:05, 48.51it/s] Loading 0: 11%|█ | 32/291 [00:00<00:05, 51.71it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:04, 53.97it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:04, 55.40it/s] Loading 0: 20%|██ | 59/291 [00:01<00:04, 55.60it/s] Loading 0: 23%|██▎ | 67/291 [00:01<00:03, 60.60it/s] Loading 0: 25%|██▌ | 74/291 [00:01<00:03, 59.23it/s] Loading 0: 28%|██▊ | 81/291 [00:01<00:03, 59.52it/s] Loading 0: 30%|███ | 88/291 [00:01<00:05, 37.74it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:04, 39.42it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:04, 45.63it/s] Loading 0: 37%|███▋ | 109/291 [00:02<00:04, 44.53it/s] Loading 0: 39%|███▉ | 114/291 [00:02<00:04, 43.68it/s] Loading 0: 42%|████▏ | 121/291 [00:02<00:03, 48.75it/s] Loading 0: 44%|████▎ | 127/291 [00:02<00:03, 46.48it/s] Loading 0: 45%|████▌ | 132/291 [00:02<00:03, 44.31it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:03, 49.52it/s] Loading 0: 50%|████▉ | 145/291 [00:02<00:02, 48.75it/s] Loading 0: 52%|█████▏ | 151/291 [00:03<00:02, 49.15it/s] Loading 0: 54%|█████▍ | 157/291 [00:03<00:02, 50.80it/s] Loading 0: 56%|█████▌ | 163/291 [00:03<00:02, 48.13it/s] Loading 0: 58%|█████▊ | 168/291 [00:03<00:02, 46.79it/s] Loading 0: 60%|██████ | 175/291 [00:03<00:02, 52.55it/s] Loading 0: 62%|██████▏ | 181/291 [00:03<00:02, 44.35it/s] Loading 0: 64%|██████▍ | 187/291 [00:03<00:02, 35.68it/s] Loading 0: 66%|██████▌ | 192/291 [00:04<00:02, 36.68it/s] Loading 0: 68%|██████▊ | 198/291 [00:04<00:02, 41.56it/s] Loading 0: 70%|██████▉ | 203/291 [00:04<00:02, 39.14it/s] Loading 0: 73%|███████▎ | 211/291 [00:04<00:01, 48.31it/s] Loading 0: 75%|███████▍ | 217/291 [00:04<00:01, 47.50it/s] Loading 0: 77%|███████▋ | 223/291 [00:04<00:01, 49.14it/s] Loading 0: 79%|███████▉ | 230/291 [00:04<00:01, 47.05it/s] Loading 0: 82%|████████▏ | 238/291 [00:04<00:00, 54.53it/s] Loading 0: 84%|████████▍ | 244/291 [00:05<00:00, 50.53it/s] Loading 0: 86%|████████▌ | 250/291 [00:05<00:00, 49.60it/s] Loading 0: 88%|████████▊ | 256/291 [00:05<00:00, 51.49it/s] Loading 0: 90%|█████████ | 262/291 [00:05<00:00, 48.46it/s] Loading 0: 92%|█████████▏| 267/291 [00:05<00:00, 45.09it/s] Loading 0: 94%|█████████▍| 274/291 [00:05<00:00, 50.47it/s] Loading 0: 96%|█████████▌| 280/291 [00:05<00:00, 49.83it/s] Loading 0: 98%|█████████▊| 286/291 [00:06<00:00, 45.90it/s] Loading 0: 100%|██████████| 291/291 [00:11<00:00, 3.37it/s]
Job sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer completed after 70.12s with status: succeeded
Stopping job with name sao10k-steertama-l3-1-8b-v1-1-v2-mkmlizer
Pipeline stage MKMLizer completed in 73.13s
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 sao10k-steertama-l3-1-8b-v1-1-v2
Waiting for inference service sao10k-steertama-l3-1-8b-v1-1-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service sao10k-steertama-l3-1-8b-v1-1-v2 ready after 183.63634943962097s
Pipeline stage MKMLDeployer completed in 185.96s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.757972240447998s
Received healthy response to inference request in 1.3849997520446777s
Received healthy response to inference request in 1.2576985359191895s
Received healthy response to inference request in 1.251007080078125s
Received healthy response to inference request in 1.2196719646453857s
5 requests
0 failed requests
5th percentile: 1.2259389877319335
10th percentile: 1.2322060108184814
20th percentile: 1.2447400569915772
30th percentile: 1.252345371246338
40th percentile: 1.2550219535827636
50th percentile: 1.2576985359191895
60th percentile: 1.3086190223693848
70th percentile: 1.35953950881958
80th percentile: 1.4595942497253418
90th percentile: 1.60878324508667
95th percentile: 1.683377742767334
99th percentile: 1.7430533409118651
mean time: 1.3742699146270752
Pipeline stage StressChecker completed in 8.25s
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 2.15s
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 2.02s
Shutdown handler de-registered
sao10k-steertama-l3-1-8b-v1-1_v2 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 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service sao10k-steertama-l3-1-8b-v1-1-v2-profiler
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 2052.05s
Shutdown handler de-registered
sao10k-steertama-l3-1-8b-v1-1_v2 status is now inactive due to auto deactivation removed underperforming models