chaiml-elite-feed-convo-_7085

submission_id: chaiml-elite-feed-convo-_7085_v1

developer_uid: zonemercy

alignment_samples: 14228

alignment_score: 0.26999819125321595

best_of: 8

celo_rating: 1248.9

display_name: chaiml-elite-feed-convo-_7085_v1

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-v2-1e5ep2

latencies: [{'batch_size': 1, 'throughput': 0.6146164453741237, 'latency_mean': 1.62693302154541, 'latency_p50': 1.6330934762954712, 'latency_p90': 1.7848138332366943}, {'batch_size': 3, 'throughput': 1.0898441956139144, 'latency_mean': 2.745704035758972, 'latency_p50': 2.746793508529663, 'latency_p90': 3.0402075052261353}, {'batch_size': 5, 'throughput': 1.2356660040959182, 'latency_mean': 4.032194255590439, 'latency_p50': 4.039811849594116, 'latency_p90': 4.573697185516357}, {'batch_size': 6, 'throughput': 1.2633827176303838, 'latency_mean': 4.711776939630508, 'latency_p50': 4.75726044178009, 'latency_p90': 5.294336676597595}, {'batch_size': 8, 'throughput': 1.2497651347819891, 'latency_mean': 6.3780678629875185, 'latency_p50': 6.41324257850647, 'latency_p90': 7.151108837127685}, {'batch_size': 10, 'throughput': 1.2154520128220256, 'latency_mean': 8.173402700424194, 'latency_p50': 8.211941838264465, 'latency_p90': 9.137808156013488}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: ChaiML/Elite-Feed-Convo-

model_name: chaiml-elite-feed-convo-_7085_v1

model_num_parameters: 12772070400.0

model_repo: ChaiML/Elite-Feed-Convo-v2-1e5ep2

model_size: 13B

num_battles: 14225

num_wins: 7193

propriety_score: 0.7397918334667735

propriety_total_count: 1249.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.21

timestamp: 2024-09-12T16:35:24+00:00

us_pacific_date: 2024-09-12

win_ratio: 0.5056590509666081

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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-elite-feed-convo-7085-v1-mkmlizer
Waiting for job on chaiml-elite-feed-convo-7085-v1-mkmlizer to finish
chaiml-elite-feed-convo-7085-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-7085-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-elite-feed-convo-7085-v1-mkmlizer: Downloaded to shared memory in 102.987s
chaiml-elite-feed-convo-7085-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6may66vn, device:0
chaiml-elite-feed-convo-7085-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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chaiml-elite-feed-convo-7085-v1-mkmlizer: quantized model in 41.711s
chaiml-elite-feed-convo-7085-v1-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v2-1e5ep2 in 144.698s
chaiml-elite-feed-convo-7085-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-7085-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-7085-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/config.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/special_tokens_map.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/tokenizer_config.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/tokenizer.json
chaiml-elite-feed-convo-7085-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-7085-v1/flywheel_model.0.safetensors
chaiml-elite-feed-convo-7085-v1-mkmlizer: 
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Job chaiml-elite-feed-convo-7085-v1-mkmlizer completed after 167.97s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-7085-v1-mkmlizer
Pipeline stage MKMLizer completed in 168.92s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-elite-feed-convo-7085-v1
Waiting for inference service chaiml-elite-feed-convo-7085-v1 to be ready
Inference service chaiml-elite-feed-convo-7085-v1 ready after 172.43635296821594s
Pipeline stage MKMLDeployer completed in 173.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6727869510650635s
Received healthy response to inference request in 1.7629671096801758s
Received healthy response to inference request in 2.5099263191223145s
Received healthy response to inference request in 2.165987730026245s
Received healthy response to inference request in 1.8218646049499512s
5 requests
0 failed requests
5th percentile: 1.7747466087341308
10th percentile: 1.7865261077880858
20th percentile: 1.8100851058959961
30th percentile: 1.89068922996521
40th percentile: 2.0283384799957274
50th percentile: 2.165987730026245
60th percentile: 2.3035631656646727
70th percentile: 2.4411386013031007
80th percentile: 2.5424984455108643
90th percentile: 2.6076426982879637
95th percentile: 2.6402148246765136
99th percentile: 2.6662725257873534
mean time: 2.18670654296875
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Inference service chaiml-elite-feed-convo-7085-v1-profiler ready after 170.43352580070496s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-coddfbe4534b0c13f06d9c2c9026c22a46-deplovxw4q:/code/chaiverse_profiler_1726159506 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-coddfbe4534b0c13f06d9c2c9026c22a46-deplovxw4q --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726159506 && 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_1726159506/summary.json'
kubectl exec -it chaiml-elite-feed-coddfbe4534b0c13f06d9c2c9026c22a46-deplovxw4q --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726159506/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1160.52s
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-elite-feed-convo-7085-v1-profiler is running
Tearing down inference service chaiml-elite-feed-convo-7085-v1-profiler
Service chaiml-elite-feed-convo-7085-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.79s
Shutdown handler de-registered
chaiml-elite-feed-convo-_7085_v1 status is now inactive due to auto deactivation removed underperforming models