submission_id: chaiml-elite-feed-convo-_1137_v3
developer_uid: zonemercy
alignment_samples: 10789
alignment_score: 0.2384107961340588
best_of: 8
celo_rating: 1255.7
display_name: chaiml-elite-feed-convo-_1137_v3
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '{user_name}: {message}</s>', 'response_template': '{bot_name}:', 'truncate_by_message': True}
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': ['</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/Elite-Feed-Convo-v1-1e5ep2
latencies: [{'batch_size': 1, 'throughput': 0.6192591115638866, 'latency_mean': 1.6147446405887604, 'latency_p50': 1.6004501581192017, 'latency_p90': 1.7853877544403076}, {'batch_size': 3, 'throughput': 1.0740245155009882, 'latency_mean': 2.785766953229904, 'latency_p50': 2.788330912590027, 'latency_p90': 3.0278178215026856}, {'batch_size': 5, 'throughput': 1.2388214326719476, 'latency_mean': 4.026817307472229, 'latency_p50': 4.021345376968384, 'latency_p90': 4.538976120948791}, {'batch_size': 6, 'throughput': 1.2472027098341103, 'latency_mean': 4.792643034458161, 'latency_p50': 4.81580913066864, 'latency_p90': 5.399664425849914}, {'batch_size': 8, 'throughput': 1.2373700564284222, 'latency_mean': 6.429793546199798, 'latency_p50': 6.425642132759094, 'latency_p90': 7.30637423992157}, {'batch_size': 10, 'throughput': 1.2051298082930733, 'latency_mean': 8.250102722644806, 'latency_p50': 8.29246723651886, 'latency_p90': 9.512089371681213}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: ChaiML/Elite-Feed-Convo-
model_name: chaiml-elite-feed-convo-_1137_v3
model_num_parameters: 12772070400.0
model_repo: ChaiML/Elite-Feed-Convo-v1-1e5ep2
model_size: 13B
num_battles: 10787
num_wins: 5606
propriety_score: 0.7385892116182573
propriety_total_count: 964.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 1.21
timestamp: 2024-09-12T19:53:37+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5196996384536943
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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name chaiml-elite-feed-convo-1137-v3-mkmlizer
Waiting for job on chaiml-elite-feed-convo-1137-v3-mkmlizer to finish
chaiml-elite-feed-convo-1137-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║     _____            __           __                                ║
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chaiml-elite-feed-convo-1137-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-1137-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-1137-v3-mkmlizer: Downloaded to shared memory in 61.877s
chaiml-elite-feed-convo-1137-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxn1_urd9, device:0
chaiml-elite-feed-convo-1137-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-elite-feed-convo-1137-v3-mkmlizer: quantized model in 40.000s
chaiml-elite-feed-convo-1137-v3-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v1-1e5ep2 in 101.877s
chaiml-elite-feed-convo-1137-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-1137-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-1137-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v3
chaiml-elite-feed-convo-1137-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v3/config.json
chaiml-elite-feed-convo-1137-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v3/special_tokens_map.json
chaiml-elite-feed-convo-1137-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v3/tokenizer_config.json
chaiml-elite-feed-convo-1137-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-1137-v3/tokenizer.json
Job chaiml-elite-feed-convo-1137-v3-mkmlizer completed after 129.5s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-1137-v3-mkmlizer
Pipeline stage MKMLizer completed in 130.93s
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Creating inference service chaiml-elite-feed-convo-1137-v3
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Inference service chaiml-elite-feed-convo-1137-v3 ready after 180.53319382667542s
Pipeline stage MKMLDeployer completed in 182.07s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.436520576477051s
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Received healthy response to inference request in 2.7222301959991455s
Received healthy response to inference request in 1.8419628143310547s
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5th percentile: 1.7526803970336915
10th percentile: 1.7750010013580322
20th percentile: 1.8196422100067138
30th percentile: 1.960874366760254
40th percentile: 2.1986974716186523
50th percentile: 2.436520576477051
60th percentile: 2.4409735679626463
70th percentile: 2.4454265594482423
80th percentile: 2.502568483352661
90th percentile: 2.6123993396759033
95th percentile: 2.6673147678375244
99th percentile: 2.711247110366821
mean time: 2.2357452869415284
Pipeline stage StressChecker completed in 12.28s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 6.09s
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chaiml-elite-feed-convo-_1137_v3 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service chaiml-elite-feed-convo-1137-v3-profiler
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Inference service chaiml-elite-feed-convo-1137-v3-profiler ready after 170.42106461524963s
Pipeline stage MKMLProfilerDeployer completed in 170.77s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-coaa9f7bab6ffb82fff41d5d9a050d74ec-deplovs8fg:/code/chaiverse_profiler_1726171359 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-coaa9f7bab6ffb82fff41d5d9a050d74ec-deplovs8fg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726171359 && 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_1726171359/summary.json'
kubectl exec -it chaiml-elite-feed-coaa9f7bab6ffb82fff41d5d9a050d74ec-deplovs8fg --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726171359/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1164.82s
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Checking if service chaiml-elite-feed-convo-1137-v3-profiler is running
Tearing down inference service chaiml-elite-feed-convo-1137-v3-profiler
Service chaiml-elite-feed-convo-1137-v3-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.95s
Shutdown handler de-registered
chaiml-elite-feed-convo-_1137_v3 status is now inactive due to auto deactivation removed underperforming models