riverise-mistral-0920-7872

developer_uid: Riverise

submission_id: riverise-mistral-0920-7872_v2

model_name: riverise-mistral-0920-7872_v1

model_group: Riverise/mistral_0920_78

status: torndown

timestamp: 2024-09-25T08:39:30+00:00

num_battles: 2916

num_wins: 1460

celo_rating: 1254.28

family_friendly_score: 0.5421969957573674

family_friendly_standard_error: 0.00920697587356578

submission_type: basic

model_repo: Riverise/mistral_0920_7872

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.6107471036799089, 'latency_mean': 1.6372385454177856, 'latency_p50': 1.6331278085708618, 'latency_p90': 1.8041443824768066}, {'batch_size': 3, 'throughput': 1.0872530653064958, 'latency_mean': 2.75314617395401, 'latency_p50': 2.7517426013946533, 'latency_p90': 3.026814270019531}, {'batch_size': 5, 'throughput': 1.2327482331599087, 'latency_mean': 4.038846219778061, 'latency_p50': 4.033775448799133, 'latency_p90': 4.508857464790344}, {'batch_size': 6, 'throughput': 1.2482472960913702, 'latency_mean': 4.778163821697235, 'latency_p50': 4.784634947776794, 'latency_p90': 5.379951739311219}, {'batch_size': 8, 'throughput': 1.2431755251359748, 'latency_mean': 6.401383904218673, 'latency_p50': 6.4418113231658936, 'latency_p90': 7.196049189567566}, {'batch_size': 10, 'throughput': 1.2072827579783132, 'latency_mean': 8.225046372413635, 'latency_p50': 8.33280873298645, 'latency_p90': 9.28163480758667}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: riverise-mistral-0920-7872_v1

ineligible_reason: num_battles<5000

is_internal_developer: False

language_model: Riverise/mistral_0920_7872

model_size: 13B

ranking_group: single

throughput_3p7s: 1.21

us_pacific_date: 2024-09-25

win_ratio: 0.5006858710562414

generation_params: {'temperature': 0.7, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

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 riverise-mistral-0920-7872-v2-mkmlizer
Waiting for job on riverise-mistral-0920-7872-v2-mkmlizer to finish
riverise-mistral-0920-7872-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-mistral-0920-7872-v2-mkmlizer: ║     _____            __           __                                ║
riverise-mistral-0920-7872-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-mistral-0920-7872-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-mistral-0920-7872-v2-mkmlizer: ║       /___/                                                         ║
riverise-mistral-0920-7872-v2-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-mistral-0920-7872-v2-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  belonging to:                                                      ║
riverise-mistral-0920-7872-v2-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-mistral-0920-7872-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-mistral-0920-7872-v2-mkmlizer: ║                                                                     ║
riverise-mistral-0920-7872-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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riverise-mistral-0920-7872-v2-mkmlizer: quantized model in 35.729s
riverise-mistral-0920-7872-v2-mkmlizer: Processed model Riverise/mistral_0920_7872 in 80.292s
riverise-mistral-0920-7872-v2-mkmlizer: creating bucket guanaco-mkml-models
riverise-mistral-0920-7872-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-mistral-0920-7872-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/special_tokens_map.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/config.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/tokenizer_config.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/tokenizer.json
riverise-mistral-0920-7872-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-mistral-0920-7872-v2/flywheel_model.0.safetensors
riverise-mistral-0920-7872-v2-mkmlizer: 
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Job riverise-mistral-0920-7872-v2-mkmlizer completed after 105.15s with status: succeeded
Stopping job with name riverise-mistral-0920-7872-v2-mkmlizer
Pipeline stage MKMLizer completed in 106.24s
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Creating inference service riverise-mistral-0920-7872-v2
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Inference service riverise-mistral-0920-7872-v2 ready after 212.18562865257263s
Pipeline stage MKMLDeployer completed in 212.54s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.2879719734191895s
Received healthy response to inference request in 2.3835458755493164s
Received healthy response to inference request in 2.1754584312438965s
Received healthy response to inference request in 2.750760793685913s
Received healthy response to inference request in 1.9223580360412598s
5 requests
0 failed requests
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90th percentile: 3.0730875015258787
95th percentile: 3.180529737472534
99th percentile: 3.2664835262298584
mean time: 2.504019021987915
Pipeline stage StressChecker completed in 15.99s
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Inference service riverise-mistral-0920-7872-v2-profiler ready after 210.55080819129944s
Pipeline stage MKMLProfilerDeployer completed in 210.89s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/riverise-mistral-09269a10d211973fa955e61947bc5683a85-deplot95rx:/code/chaiverse_profiler_1727254171 --namespace tenant-chaiml-guanaco
kubectl exec -it riverise-mistral-09269a10d211973fa955e61947bc5683a85-deplot95rx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1727254171 && 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_1727254171/summary.json'
kubectl exec -it riverise-mistral-09269a10d211973fa955e61947bc5683a85-deplot95rx --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1727254171/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1166.17s
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Checking if service riverise-mistral-0920-7872-v2-profiler is running
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Service riverise-mistral-0920-7872-v2-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.30s
Shutdown handler de-registered
riverise-mistral-0920-7872_v2 status is now inactive due to auto deactivation removed underperforming models
riverise-mistral-0920-7872_v2 status is now torndown due to DeploymentManager action