developer_uid: cloudyu
submission_id: cloudyu-nemo-dpo-v22_v17
model_name: cloudyu-nemo-dpo-v22_v1
model_group: cloudyu/Nemo-DPO-V22
status: inactive
timestamp: 2024-12-24T22:45:26+00:00
num_battles: 19627
num_wins: 10072
celo_rating: 1273.32
family_friendly_score: 0.5794
family_friendly_standard_error: 0.0069813414183808545
submission_type: basic
model_repo: cloudyu/Nemo-DPO-V22
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6104240725491702, 'latency_mean': 1.6381398510932923, 'latency_p50': 1.6453160047531128, 'latency_p90': 1.8061549663543701}, {'batch_size': 3, 'throughput': 1.135829986796473, 'latency_mean': 2.6325013816356657, 'latency_p50': 2.6312915086746216, 'latency_p90': 2.868663501739502}, {'batch_size': 5, 'throughput': 1.361673410519621, 'latency_mean': 3.657667860984802, 'latency_p50': 3.6428953409194946, 'latency_p90': 4.04775972366333}, {'batch_size': 6, 'throughput': 1.4302022270876567, 'latency_mean': 4.165496813058853, 'latency_p50': 4.174587607383728, 'latency_p90': 4.75034773349762}, {'batch_size': 8, 'throughput': 1.5038850919438964, 'latency_mean': 5.275793738365174, 'latency_p50': 5.332827806472778, 'latency_p90': 5.793077850341797}, {'batch_size': 10, 'throughput': 1.5377720053546151, 'latency_mean': 6.449729063510895, 'latency_p50': 6.4458383321762085, 'latency_p90': 7.340126800537109}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cloudyu-nemo-dpo-v22_v1
is_internal_developer: False
language_model: cloudyu/Nemo-DPO-V22
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2024-12-24
win_ratio: 0.5131706322922505
generation_params: {'temperature': 0.99, 'top_p': 0.99, 'min_p': 0.01, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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 cloudyu-nemo-dpo-v22-v17-mkmlizer
Waiting for job on cloudyu-nemo-dpo-v22-v17-mkmlizer to finish
cloudyu-nemo-dpo-v22-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ _____ __ __ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ /___/ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ Version: 0.11.12 ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ https://mk1.ai ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ The license key for the current software has been verified as ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ belonging to: ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ Chai Research Corp. ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ║ ║
cloudyu-nemo-dpo-v22-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cloudyu-nemo-dpo-v22-v17-mkmlizer: quantized model in 36.353s
cloudyu-nemo-dpo-v22-v17-mkmlizer: Processed model cloudyu/Nemo-DPO-V22 in 71.675s
cloudyu-nemo-dpo-v22-v17-mkmlizer: creating bucket guanaco-mkml-models
cloudyu-nemo-dpo-v22-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cloudyu-nemo-dpo-v22-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v17
cloudyu-nemo-dpo-v22-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v17/special_tokens_map.json
cloudyu-nemo-dpo-v22-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v17/config.json
cloudyu-nemo-dpo-v22-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v17/tokenizer_config.json
cloudyu-nemo-dpo-v22-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v17/tokenizer.json
cloudyu-nemo-dpo-v22-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cloudyu-nemo-dpo-v22-v17/flywheel_model.0.safetensors
cloudyu-nemo-dpo-v22-v17-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:12, 29.02it/s] Loading 0: 4%|▎ | 13/363 [00:00<00:07, 49.79it/s] Loading 0: 5%|▌ | 19/363 [00:00<00:07, 45.19it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:07, 43.43it/s] Loading 0: 9%|▊ | 31/363 [00:00<00:06, 49.28it/s] Loading 0: 10%|█ | 37/363 [00:00<00:07, 45.35it/s] Loading 0: 12%|█▏ | 42/363 [00:00<00:07, 43.70it/s] Loading 0: 13%|█▎ | 49/363 [00:01<00:06, 49.11it/s] Loading 0: 15%|█▌ | 55/363 [00:01<00:06, 45.34it/s] Loading 0: 17%|█▋ | 61/363 [00:01<00:08, 35.95it/s] Loading 0: 18%|█▊ | 65/363 [00:01<00:08, 34.44it/s] Loading 0: 20%|█▉ | 72/363 [00:01<00:07, 40.47it/s] Loading 0: 21%|██▏ | 78/363 [00:01<00:07, 39.96it/s] Loading 0: 23%|██▎ | 83/363 [00:01<00:06, 40.10it/s] Loading 0: 25%|██▍ | 90/363 [00:02<00:06, 45.20it/s] Loading 0: 26%|██▌ | 95/363 [00:02<00:05, 46.26it/s] Loading 0: 28%|██▊ | 100/363 [00:02<00:07, 37.34it/s] Loading 0: 29%|██▉ | 106/363 [00:02<00:06, 41.81it/s] Loading 0: 31%|███ | 112/363 [00:02<00:05, 45.41it/s] Loading 0: 32%|███▏ | 117/363 [00:02<00:05, 42.54it/s] Loading 0: 34%|███▎ | 122/363 [00:02<00:05, 44.18it/s] Loading 0: 35%|███▍ | 127/363 [00:03<00:06, 37.29it/s] Loading 0: 37%|███▋ | 135/363 [00:03<00:05, 45.04it/s] Loading 0: 39%|███▊ | 140/363 [00:03<00:04, 45.94it/s] Loading 0: 40%|███▉ | 145/363 [00:03<00:07, 29.03it/s] Loading 0: 41%|████ | 149/363 [00:03<00:07, 29.02it/s] Loading 0: 43%|████▎ | 156/363 [00:03<00:05, 36.55it/s] Loading 0: 44%|████▍ | 161/363 [00:03<00:05, 37.90it/s] Loading 0: 46%|████▌ | 166/363 [00:04<00:04, 40.38it/s] Loading 0: 47%|████▋ | 172/363 [00:04<00:04, 39.51it/s] Loading 0: 49%|████▉ | 177/363 [00:04<00:04, 39.12it/s] Loading 0: 50%|█████ | 183/363 [00:04<00:04, 43.50it/s] Loading 0: 52%|█████▏ | 188/363 [00:04<00:04, 43.29it/s] Loading 0: 53%|█████▎ | 193/363 [00:04<00:03, 43.75it/s] Loading 0: 55%|█████▍ | 198/363 [00:04<00:03, 45.08it/s] Loading 0: 56%|█████▌ | 203/363 [00:05<00:04, 36.99it/s] Loading 0: 58%|█████▊ | 211/363 [00:05<00:03, 45.52it/s] Loading 0: 60%|█████▉ | 216/363 [00:05<00:03, 46.28it/s] Loading 0: 61%|██████ | 221/363 [00:05<00:03, 46.20it/s] Loading 0: 62%|██████▏ | 226/363 [00:05<00:04, 30.10it/s] Loading 0: 63%|██████▎ | 230/363 [00:05<00:04, 29.66it/s] Loading 0: 65%|██████▌ | 237/363 [00:05<00:03, 37.83it/s] Loading 0: 67%|██████▋ | 242/363 [00:06<00:03, 39.01it/s] Loading 0: 68%|██████▊ | 247/363 [00:06<00:02, 40.39it/s] Loading 0: 69%|██████▉ | 252/363 [00:06<00:02, 42.54it/s] Loading 0: 71%|███████ | 257/363 [00:06<00:02, 36.63it/s] Loading 0: 73%|███████▎ | 265/363 [00:06<00:02, 45.15it/s] Loading 0: 74%|███████▍ | 270/363 [00:06<00:02, 45.19it/s] Loading 0: 76%|███████▌ | 275/363 [00:06<00:02, 37.51it/s] Loading 0: 78%|███████▊ | 283/363 [00:06<00:01, 45.20it/s] Loading 0: 79%|███████▉ | 288/363 [00:07<00:01, 45.54it/s] Loading 0: 81%|████████ | 293/363 [00:07<00:01, 37.29it/s] Loading 0: 83%|████████▎ | 300/363 [00:07<00:01, 44.36it/s] Loading 0: 84%|████████▍ | 305/363 [00:14<00:21, 2.67it/s] Loading 0: 85%|████████▌ | 309/363 [00:14<00:15, 3.40it/s] Loading 0: 86%|████████▌ | 313/363 [00:14<00:11, 4.37it/s] Loading 0: 88%|████████▊ | 320/363 [00:14<00:06, 6.80it/s] Loading 0: 90%|████████▉ | 326/363 [00:14<00:03, 9.26it/s] Loading 0: 91%|█████████ | 331/363 [00:14<00:02, 11.80it/s] Loading 0: 93%|█████████▎| 338/363 [00:14<00:01, 16.59it/s] Loading 0: 95%|█████████▍| 344/363 [00:15<00:00, 20.09it/s] Loading 0: 96%|█████████▌| 349/363 [00:15<00:00, 23.07it/s] Loading 0: 98%|█████████▊| 356/363 [00:15<00:00, 29.12it/s] Loading 0: 99%|█████████▉| 361/363 [00:15<00:00, 32.62it/s]
Job cloudyu-nemo-dpo-v22-v17-mkmlizer completed after 93.93s with status: succeeded
Stopping job with name cloudyu-nemo-dpo-v22-v17-mkmlizer
Pipeline stage MKMLizer completed in 94.40s
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 cloudyu-nemo-dpo-v22-v17
Waiting for inference service cloudyu-nemo-dpo-v22-v17 to be ready
Failed to get response for submission cloudyu-nemo-dpo-v22_v16: ('http://cloudyu-nemo-dpo-v22-v16-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:36766->127.0.0.1:8080: read: connection reset by peer\n')
Inference service cloudyu-nemo-dpo-v22-v17 ready after 281.6328685283661s
Pipeline stage MKMLDeployer completed in 282.18s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2487597465515137s
Received healthy response to inference request in 1.6431798934936523s
Received healthy response to inference request in 2.257075071334839s
Received healthy response to inference request in 1.6916821002960205s
Received healthy response to inference request in 1.9594597816467285s
5 requests
0 failed requests
5th percentile: 1.6528803348541259
10th percentile: 1.6625807762145997
20th percentile: 1.681981658935547
30th percentile: 1.7452376365661622
40th percentile: 1.8523487091064452
50th percentile: 1.9594597816467285
60th percentile: 2.0751797676086428
70th percentile: 2.1908997535705566
80th percentile: 2.250422811508179
90th percentile: 2.2537489414215086
95th percentile: 2.2554120063781737
99th percentile: 2.256742458343506
mean time: 1.9600313186645508
Pipeline stage StressChecker completed in 11.50s
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 0.66s
Shutdown handler de-registered
cloudyu-nemo-dpo-v22_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 0.10s
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 cloudyu-nemo-dpo-v22-v17-profiler
Waiting for inference service cloudyu-nemo-dpo-v22-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 2718.39s
Shutdown handler de-registered
cloudyu-nemo-dpo-v22_v17 status is now inactive due to auto deactivation removed underperforming models