submission_id: chaiml-albert-dpo-0912-v_5665_v2
developer_uid: chai_backend_admin
alignment_samples: 12058
alignment_score: -0.21744336296518457
best_of: 8
celo_rating: 1209.4
display_name: 0913-nemo-ai-agree-with-user
formatter: {'memory_template': 'Bot Name: {bot_name}\n####\n', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: True
language_model: ChaiML/albert_dpo_0912_virgo_edit_variety_ai_agree_with_user
latencies: [{'batch_size': 1, 'throughput': 0.6105775275374217, 'latency_mean': 1.6377289307117462, 'latency_p50': 1.6410614252090454, 'latency_p90': 1.792797589302063}, {'batch_size': 3, 'throughput': 1.0790588916956636, 'latency_mean': 2.774240494966507, 'latency_p50': 2.785771131515503, 'latency_p90': 3.1149181604385374}, {'batch_size': 5, 'throughput': 1.2199092412879537, 'latency_mean': 4.082801934480667, 'latency_p50': 4.112810373306274, 'latency_p90': 4.509352970123291}, {'batch_size': 6, 'throughput': 1.2489942197244062, 'latency_mean': 4.7830314648151395, 'latency_p50': 4.765743613243103, 'latency_p90': 5.418458461761475}, {'batch_size': 8, 'throughput': 1.2210064944045886, 'latency_mean': 6.517102905511856, 'latency_p50': 6.596166491508484, 'latency_p90': 7.239403176307678}, {'batch_size': 10, 'throughput': 1.1895471241892592, 'latency_mean': 8.356147912740708, 'latency_p50': 8.364060878753662, 'latency_p90': 9.34616551399231}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/albert_dpo_0912_v
model_name: 0913-nemo-ai-agree-with-user
model_num_parameters: 12772070400.0
model_repo: ChaiML/albert_dpo_0912_virgo_edit_variety_ai_agree_with_user
model_size: 13B
num_battles: 12057
num_wins: 5295
propriety_score: 0.7338638373121131
propriety_total_count: 1131.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.19
timestamp: 2024-09-13T23:57:04+00:00
us_pacific_date: 2024-09-13
win_ratio: 0.43916397113709876
Download Preference Data
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 chaiml-albert-dpo-0912-v-5665-v2-mkmlizer
Waiting for job on chaiml-albert-dpo-0912-v-5665-v2-mkmlizer to finish
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ _____ __ __ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ /___/ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ Version: 0.10.1 ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ belonging to: ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ║ ║
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: Downloaded to shared memory in 69.441s
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp70_ouxnk, device:0
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: quantized model in 40.810s
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: Processed model ChaiML/albert_dpo_0912_virgo_edit_variety_ai_agree_with_user in 110.251s
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-5665-v2
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-5665-v2/config.json
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-5665-v2/special_tokens_map.json
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-5665-v2/tokenizer_config.json
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-albert-dpo-0912-v-5665-v2/tokenizer.json
chaiml-albert-dpo-0912-v-5665-v2-mkmlizer: Loading 0: 0%| | 0/363 [00:00<?, ?it/s] Loading 0: 1%|▏ | 5/363 [00:00<00:15, 22.74it/s] Loading 0: 3%|▎ | 10/363 [00:00<00:12, 28.48it/s] Loading 0: 4%|▍ | 14/363 [00:00<00:13, 25.17it/s] Loading 0: 6%|▌ | 20/363 [00:00<00:09, 34.37it/s] Loading 0: 7%|▋ | 24/363 [00:00<00:15, 22.56it/s] Loading 0: 7%|▋ | 27/363 [00:01<00:15, 22.29it/s] Loading 0: 9%|▉ | 32/363 [00:01<00:14, 22.85it/s] Loading 0: 11%|█ | 39/363 [00:01<00:10, 29.71it/s] Loading 0: 12%|█▏ | 43/363 [00:01<00:11, 28.85it/s] Loading 0: 13%|█▎ | 48/363 [00:01<00:10, 30.58it/s] Loading 0: 14%|█▍ | 52/363 [00:01<00:10, 28.91it/s] Loading 0: 15%|█▌ | 56/363 [00:02<00:10, 29.21it/s] Loading 0: 17%|█▋ | 61/363 [00:02<00:12, 25.05it/s] Loading 0: 18%|█▊ | 64/363 [00:02<00:13, 22.08it/s] Loading 0: 19%|█▉ | 69/363 [00:02<00:10, 27.15it/s] Loading 0: 20%|██ | 73/363 [00:02<00:10, 26.68it/s] Loading 0: 21%|██ | 77/363 [00:02<00:11, 25.17it/s] Loading 0: 23%|██▎ | 84/363 [00:03<00:08, 31.36it/s] Loading 0: 24%|██▍ | 88/363 [00:03<00:09, 30.13it/s] Loading 0: 26%|██▌ | 93/363 [00:03<00:08, 31.29it/s] Loading 0: 27%|██▋ | 97/363 [00:03<00:08, 29.91it/s] Loading 0: 28%|██▊ | 101/363 [00:03<00:11, 23.22it/s] Loading 0: 29%|██▊ | 104/363 [00:03<00:12, 21.31it/s] Loading 0: 31%|███ | 111/363 [00:04<00:08, 28.43it/s] Loading 0: 32%|███▏ | 115/363 [00:04<00:08, 28.12it/s] Loading 0: 33%|███▎ | 120/363 [00:04<00:07, 30.83it/s] Loading 0: 34%|███▍ | 124/363 [00:04<00:08, 29.79it/s] Loading 0: 36%|███▌ | 129/363 [00:04<00:07, 32.27it/s] Loading 0: 37%|███▋ | 133/363 [00:04<00:07, 30.57it/s] Loading 0: 38%|███▊ | 137/363 [00:04<00:07, 29.68it/s] Loading 0: 39%|███▉ | 142/363 [00:05<00:08, 25.78it/s] Loading 0: 40%|███▉ | 145/363 [00:05<00:08, 24.65it/s] Loading 0: 41%|████ | 149/363 [00:05<00:09, 23.68it/s] Loading 0: 43%|████▎ | 156/363 [00:05<00:06, 30.15it/s] Loading 0: 44%|████▍ | 160/363 [00:05<00:06, 29.51it/s] Loading 0: 45%|████▌ | 165/363 [00:05<00:06, 31.37it/s] Loading 0: 47%|████▋ | 169/363 [00:06<00:06, 30.28it/s] Loading 0: 48%|████▊ | 174/363 [00:06<00:05, 32.17it/s] Loading 0: 49%|████▉ | 178/363 [00:06<00:05, 30.84it/s] Loading 0: 50%|█████ | 182/363 [00:06<00:07, 25.24it/s] Loading 0: 51%|█████ | 185/363 [00:06<00:07, 22.42it/s] Loading 0: 53%|█████▎ | 192/363 [00:06<00:05, 29.28it/s] Loading 0: 54%|█████▍ | 196/363 [00:07<00:05, 28.76it/s] Loading 0: 55%|█████▌ | 201/363 [00:07<00:05, 30.77it/s] Loading 0: 56%|█████▋ | 205/363 [00:07<00:05, 29.13it/s] Loading 0: 58%|█████▊ | 210/363 [00:07<00:04, 31.35it/s] Loading 0: 59%|█████▉ | 214/363 [00:07<00:04, 29.90it/s] Loading 0: 60%|██████ | 218/363 [00:07<00:04, 30.37it/s] Loading 0: 61%|██████▏ | 223/363 [00:08<00:05, 26.15it/s] Loading 0: 62%|██████▏ | 226/363 [00:08<00:05, 24.84it/s] Loading 0: 63%|██████▎ | 230/363 [00:08<00:05, 23.83it/s] Loading 0: 65%|██████▌ | 237/363 [00:08<00:04, 30.62it/s] Loading 0: 66%|██████▋ | 241/363 [00:08<00:04, 29.19it/s] Loading 0: 68%|██████▊ | 246/363 [00:08<00:03, 31.56it/s] Loading 0: 69%|██████▉ | 250/363 [00:08<00:03, 30.26it/s] Loading 0: 70%|███████ | 255/363 [00:09<00:03, 31.85it/s] Loading 0: 71%|███████▏ | 259/363 [00:09<00:03, 30.58it/s] Loading 0: 72%|███████▏ | 263/363 [00:09<00:03, 25.24it/s] Loading 0: 73%|███████▎ | 266/363 [00:09<00:04, 21.99it/s] Loading 0: 75%|███████▌ | 273/363 [00:09<00:03, 29.21it/s] Loading 0: 76%|███████▋ | 277/363 [00:09<00:02, 29.02it/s] Loading 0: 78%|███████▊ | 282/363 [00:10<00:02, 31.50it/s] Loading 0: 79%|███████▉ | 286/363 [00:10<00:02, 30.19it/s] Loading 0: 80%|████████ | 291/363 [00:10<00:02, 32.63it/s] Loading 0: 81%|████████▏ | 295/363 [00:10<00:02, 31.13it/s] Loading 0: 82%|████████▏ | 299/363 [00:10<00:02, 30.66it/s] Loading 0: 84%|████████▎ | 304/363 [00:10<00:02, 26.02it/s] Loading 0: 85%|████████▍ | 307/363 [00:11<00:02, 24.81it/s] Loading 0: 86%|████████▌ | 311/363 [00:11<00:02, 23.89it/s] Loading 0: 87%|████████▋ | 316/363 [00:11<00:01, 28.95it/s] Loading 0: 88%|████████▊ | 320/363 [00:11<00:01, 26.61it/s] Loading 0: 90%|█████████ | 327/363 [00:11<00:01, 33.11it/s] Loading 0: 91%|█████████ | 331/363 [00:11<00:01, 31.21it/s] Loading 0: 93%|█████████▎| 336/363 [00:11<00:00, 33.13it/s] Loading 0: 94%|█████████▎| 340/363 [00:12<00:00, 31.66it/s] Loading 0: 95%|█████████▍| 344/363 [00:18<00:09, 2.03it/s] Loading 0: 96%|█████████▌| 348/363 [00:19<00:05, 2.72it/s] Loading 0: 97%|█████████▋| 353/363 [00:19<00:02, 3.93it/s] Loading 0: 98%|█████████▊| 357/363 [00:19<00:01, 5.09it/s]
Job chaiml-albert-dpo-0912-v-5665-v2-mkmlizer completed after 135.88s with status: succeeded
Stopping job with name chaiml-albert-dpo-0912-v-5665-v2-mkmlizer
Pipeline stage MKMLizer completed in 137.21s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-albert-dpo-0912-v-5665-v2
Waiting for inference service chaiml-albert-dpo-0912-v-5665-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service chaiml-albert-dpo-0912-v-5665-v2 ready after 170.98846912384033s
Pipeline stage MKMLDeployer completed in 171.49s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6050548553466797s
Received healthy response to inference request in 1.5494086742401123s
Received healthy response to inference request in 2.1398096084594727s
Received healthy response to inference request in 0.8046646118164062s
Received healthy response to inference request in 2.0351979732513428s
5 requests
0 failed requests
5th percentile: 0.9536134243011475
10th percentile: 1.1025622367858887
20th percentile: 1.4004598617553712
30th percentile: 1.5605379104614259
40th percentile: 1.5827963829040528
50th percentile: 1.6050548553466797
60th percentile: 1.7771121025085448
70th percentile: 1.9491693496704101
80th percentile: 2.0561203002929687
90th percentile: 2.097964954376221
95th percentile: 2.1188872814178468
99th percentile: 2.1356251430511475
mean time: 1.6268271446228026
Pipeline stage StressChecker completed in 14.40s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 6.15s
Shutdown handler de-registered
chaiml-albert-dpo-0912-v_5665_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 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-albert-dpo-0912-v-5665-v2-profiler
Waiting for inference service chaiml-albert-dpo-0912-v-5665-v2-profiler to be ready
Inference service chaiml-albert-dpo-0912-v-5665-v2-profiler ready after 170.38420414924622s
Pipeline stage MKMLProfilerDeployer completed in 170.78s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-albert-dpo-0995eb1011cf59139df36f375740f79919-deplowts65:/code/chaiverse_profiler_1726272375 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-albert-dpo-0995eb1011cf59139df36f375740f79919-deplowts65 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726272375 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726272375/summary.json'
kubectl exec -it chaiml-albert-dpo-0995eb1011cf59139df36f375740f79919-deplowts65 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726272375/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1177.02s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-albert-dpo-0912-v-5665-v2-profiler is running
Tearing down inference service chaiml-albert-dpo-0912-v-5665-v2-profiler
Service chaiml-albert-dpo-0912-v-5665-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.60s
Shutdown handler de-registered
chaiml-albert-dpo-0912-v_5665_v2 status is now inactive due to auto deactivation removed underperforming models