jellywibble-mistralsmall_4077

submission_id: jellywibble-mistralsmall_4077_v2
developer_uid: Jellywibble
best_of: 8
celo_rating: 1223.27
display_name: mistral-dummy
family_friendly_score: 0.0
formatter: {'memory_template': 'User (You) writes short messages. Character {bot_name} writes detailed and engaging messages.', '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': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A6000': 1}
is_internal_developer: True
language_model: Jellywibble/MistralSmall1500CTXDummy
latencies: [{'batch_size': 1, 'throughput': 0.3857938474972485, 'latency_mean': 2.5919965541362764, 'latency_p50': 2.5926140546798706, 'latency_p90': 2.8846273899078367}, {'batch_size': 2, 'throughput': 0.614476348536287, 'latency_mean': 3.245246946811676, 'latency_p50': 3.2661200761795044, 'latency_p90': 3.5752063751220704}, {'batch_size': 3, 'throughput': 0.7803650008456086, 'latency_mean': 3.831652729511261, 'latency_p50': 3.8281816244125366, 'latency_p90': 4.225851440429688}, {'batch_size': 4, 'throughput': 0.9017221786125817, 'latency_mean': 4.415478911399841, 'latency_p50': 4.434523344039917, 'latency_p90': 4.902445220947265}, {'batch_size': 5, 'throughput': 0.9892986016760068, 'latency_mean': 5.029519321918488, 'latency_p50': 5.041569113731384, 'latency_p90': 5.636698579788208}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Jellywibble/MistralSmall
model_name: mistral-dummy
model_num_parameters: 22247282688.0
model_repo: Jellywibble/MistralSmall1500CTXDummy
model_size: 22B
num_battles: 245779
num_wins: 114291
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 0.75
timestamp: 2024-09-22T02:43:40+00:00
us_pacific_date: 2024-09-21
win_ratio: 0.46501531863991635
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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 jellywibble-mistralsmall-4077-v2-mkmlizer
Waiting for job on jellywibble-mistralsmall-4077-v2-mkmlizer to finish
jellywibble-mistralsmall-4077-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-mistralsmall-4077-v2-mkmlizer: ║     _____            __           __                                ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║       /___/                                                         ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  belonging to:                                                      ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ║                                                                     ║
jellywibble-mistralsmall-4077-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-mistralsmall-4077-v2-mkmlizer: Downloaded to shared memory in 52.857s
jellywibble-mistralsmall-4077-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7xrpp3s8, device:0
jellywibble-mistralsmall-4077-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-mistralsmall-4077-v2-mkmlizer: quantized model in 43.213s
jellywibble-mistralsmall-4077-v2-mkmlizer: Processed model Jellywibble/MistralSmall1500CTXDummy in 96.070s
jellywibble-mistralsmall-4077-v2-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-mistralsmall-4077-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-mistralsmall-4077-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-mistralsmall-4077-v2
jellywibble-mistralsmall-4077-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-mistralsmall-4077-v2/tokenizer_config.json
jellywibble-mistralsmall-4077-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-mistralsmall-4077-v2/tokenizer.json
jellywibble-mistralsmall-4077-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-mistralsmall-4077-v2/flywheel_model.1.safetensors
jellywibble-mistralsmall-4077-v2-mkmlizer: 
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Job jellywibble-mistralsmall-4077-v2-mkmlizer completed after 125.39s with status: succeeded
Stopping job with name jellywibble-mistralsmall-4077-v2-mkmlizer
Pipeline stage MKMLizer completed in 126.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.30s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service jellywibble-mistralsmall-4077-v2
Waiting for inference service jellywibble-mistralsmall-4077-v2 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission blend_negek_2024-09-20: ('http://chaiml-llama-8b-pairwis-8189-v27-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'readfrom tcp 127.0.0.1:56056->127.0.0.1:8080: write tcp 127.0.0.1:56056->127.0.0.1:8080: use of closed network connection\n')
Inference service jellywibble-mistralsmall-4077-v2 ready after 191.59013748168945s
Pipeline stage MKMLDeployer completed in 192.03s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.8359010219573975s
Received healthy response to inference request in 2.807389736175537s
Received healthy response to inference request in 3.0763003826141357s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Received healthy response to inference request in 2.9980850219726562s
Received healthy response to inference request in 2.7697410583496094s
5 requests
0 failed requests
5th percentile: 2.777270793914795
10th percentile: 2.7848005294799805
20th percentile: 2.7998600006103516
30th percentile: 2.845528793334961
40th percentile: 2.9218069076538087
50th percentile: 2.9980850219726562
60th percentile: 3.029371166229248
70th percentile: 3.0606573104858397
80th percentile: 3.2282205104827884
90th percentile: 3.5320607662200927
95th percentile: 3.683980894088745
99th percentile: 3.805516996383667
mean time: 3.097483444213867
Pipeline stage StressChecker completed in 17.23s
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Shutdown handler de-registered
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Creating inference service jellywibble-mistralsmall-4077-v2-profiler
Waiting for inference service jellywibble-mistralsmall-4077-v2-profiler to be ready
Inference service jellywibble-mistralsmall-4077-v2-profiler ready after 190.44057416915894s
Pipeline stage MKMLProfilerDeployer completed in 190.78s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jellywibble-mistralsfe5547938a6c48191b867ce5ffb8df77-deplockqcq:/code/chaiverse_profiler_1726973598 --namespace tenant-chaiml-guanaco
kubectl exec -it jellywibble-mistralsfe5547938a6c48191b867ce5ffb8df77-deplockqcq --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726973598 && 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_1726973598/summary.json'
kubectl exec -it jellywibble-mistralsfe5547938a6c48191b867ce5ffb8df77-deplockqcq --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726973598/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1531.48s
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Checking if service jellywibble-mistralsmall-4077-v2-profiler is running
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Pipeline stage MKMLProfilerDeleter completed in 2.20s
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Pipeline stage MKMLModelDeleter completed in 6.73s
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jellywibble-mistralsmall_4077_v2 status is now torndown due to DeploymentManager action
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