chaiml-elite-feed-convo-_5606

submission_id: chaiml-elite-feed-convo-_5606_v1

developer_uid: zonemercy

alignment_samples: 10298

alignment_score: -0.06341464210679242

best_of: 8

celo_rating: 1250.5

display_name: chaiml-elite-feed-convo-_5606_v1

formatter: {'memory_template': "Bot's name: {bot_name}\nBot never initiate sex act unless User started first in the conversation\n####\n", 'prompt_template': '', 'bot_template': 'Bot: {message}</s>', 'user_template': 'User: {message}</s>', 'response_template': 'Bot:', '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:'], '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-v1-1e5

latencies: [{'batch_size': 1, 'throughput': 0.6089815216419312, 'latency_mean': 1.6419930958747864, 'latency_p50': 1.638822078704834, 'latency_p90': 1.808166241645813}, {'batch_size': 3, 'throughput': 1.0682088154493403, 'latency_mean': 2.807155302762985, 'latency_p50': 2.82085382938385, 'latency_p90': 3.1257818698883058}, {'batch_size': 5, 'throughput': 1.2193682461554527, 'latency_mean': 4.076747167110443, 'latency_p50': 4.108990550041199, 'latency_p90': 4.555614352226257}, {'batch_size': 6, 'throughput': 1.2310005180129062, 'latency_mean': 4.852420064210892, 'latency_p50': 4.883208513259888, 'latency_p90': 5.478198003768921}, {'batch_size': 8, 'throughput': 1.2276372602729222, 'latency_mean': 6.488553665876388, 'latency_p50': 6.545412063598633, 'latency_p90': 7.323099827766418}, {'batch_size': 10, 'throughput': 1.1825289338979672, 'latency_mean': 8.413054013252259, 'latency_p50': 8.482976078987122, 'latency_p90': 9.588068008422852}]

max_input_tokens: 1024

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: ChaiML/Elite-Feed-Convo-

model_name: chaiml-elite-feed-convo-_5606_v1

model_num_parameters: 12772070400.0

model_repo: ChaiML/Elite-Feed-Convo-v1-1e5

model_size: 13B

num_battles: 10298

num_wins: 5271

propriety_score: 0.7466251298026999

propriety_total_count: 963.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.19

timestamp: 2024-09-11T21:11:46+00:00

us_pacific_date: 2024-09-11

win_ratio: 0.5118469605748689

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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-5606-v1-mkmlizer
Waiting for job on chaiml-elite-feed-convo-5606-v1-mkmlizer to finish
chaiml-elite-feed-convo-5606-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║       /___/                                                         ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ║                                                                     ║
chaiml-elite-feed-convo-5606-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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
chaiml-elite-feed-convo-5606-v1-mkmlizer: Downloaded to shared memory in 50.773s
chaiml-elite-feed-convo-5606-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx0m0b_sk, device:0
chaiml-elite-feed-convo-5606-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-elite-feed-convo-5606-v1-mkmlizer: quantized model in 35.760s
chaiml-elite-feed-convo-5606-v1-mkmlizer: Processed model ChaiML/Elite-Feed-Convo-v1-1e5 in 86.533s
chaiml-elite-feed-convo-5606-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-elite-feed-convo-5606-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-elite-feed-convo-5606-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-elite-feed-convo-5606-v1
chaiml-elite-feed-convo-5606-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-5606-v1/config.json
chaiml-elite-feed-convo-5606-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-5606-v1/special_tokens_map.json
chaiml-elite-feed-convo-5606-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-5606-v1/tokenizer_config.json
chaiml-elite-feed-convo-5606-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-elite-feed-convo-5606-v1/tokenizer.json
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
chaiml-elite-feed-convo-5606-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-elite-feed-convo-5606-v1/flywheel_model.0.safetensors
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Job chaiml-elite-feed-convo-5606-v1-mkmlizer completed after 106.61s with status: succeeded
Stopping job with name chaiml-elite-feed-convo-5606-v1-mkmlizer
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Creating inference service chaiml-elite-feed-convo-5606-v1
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Inference service chaiml-elite-feed-convo-5606-v1 ready after 171.15943813323975s
Pipeline stage MKMLDeployer completed in 171.61s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.957596778869629s
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Received healthy response to inference request in 2.4581851959228516s
Received healthy response to inference request in 1.6736361980438232s
5 requests
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5th percentile: 1.758155107498169
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mean time: 2.345590353012085
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Inference service chaiml-elite-feed-convo-5606-v1-profiler ready after 170.45382857322693s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-elite-feed-co935aa65f5bc78ddaf692285052307d39-deplobs6bk:/code/chaiverse_profiler_1726089614 --namespace tenant-chaiml-guanaco
kubectl exec -it chaiml-elite-feed-co935aa65f5bc78ddaf692285052307d39-deplobs6bk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726089614 && 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_1726089614/summary.json'
kubectl exec -it chaiml-elite-feed-co935aa65f5bc78ddaf692285052307d39-deplobs6bk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726089614/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1184.42s
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Checking if service chaiml-elite-feed-convo-5606-v1-profiler is running
Tearing down inference service chaiml-elite-feed-convo-5606-v1-profiler
Service chaiml-elite-feed-convo-5606-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.96s
Shutdown handler de-registered
chaiml-elite-feed-convo-_5606_v1 status is now inactive due to auto deactivation removed underperforming models