chaiml-small-story-24112_3757

developer_uid: azuruce

submission_id: chaiml-small-story-24112_3757_v1

model_name: chaiml-small-story-24112_3757_v1

model_group: ChaiML/small_story_24112

status: inactive

timestamp: 2024-11-27T08:17:27+00:00

num_battles: 12956

num_wins: 5894

celo_rating: 1230.79

family_friendly_score: 0.5846

family_friendly_standard_error: 0.006969115295358515

submission_type: basic

model_repo: ChaiML/small_story_241126_96x50k_1823

model_architecture: MistralForCausalLM

model_num_parameters: 22247282688.0

best_of: 4

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.3859318008385323, 'latency_mean': 2.591069349050522, 'latency_p50': 2.608244776725769, 'latency_p90': 2.858608269691467}, {'batch_size': 3, 'throughput': 0.8173641307183837, 'latency_mean': 3.6574458289146423, 'latency_p50': 3.655462861061096, 'latency_p90': 3.989742827415466}, {'batch_size': 5, 'throughput': 1.0770904136521562, 'latency_mean': 4.621972001791001, 'latency_p50': 4.554537057876587, 'latency_p90': 5.2067471742630005}, {'batch_size': 6, 'throughput': 1.1769835140090728, 'latency_mean': 5.068494255542755, 'latency_p50': 5.0626373291015625, 'latency_p90': 5.687845778465271}, {'batch_size': 10, 'throughput': 1.37331973522278, 'latency_mean': 7.223010793924332, 'latency_p50': 7.216712117195129, 'latency_p90': 8.154823970794677}]

gpu_counts: {'NVIDIA RTX A6000': 1}

display_name: chaiml-small-story-24112_3757_v1

is_internal_developer: True

language_model: ChaiML/small_story_241126_96x50k_1823

model_size: 22B

ranking_group: single

throughput_3p7s: 0.83

us_pacific_date: 2024-11-27

win_ratio: 0.454924359370176

generation_params: {'temperature': 0.9, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', '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 chaiml-small-story-24112-3757-v1-mkmlizer
Connection pool is full, discarding connection: %s. Connection pool size: %s
Waiting for job on chaiml-small-story-24112-3757-v1-mkmlizer to finish
chaiml-small-story-24112-3757-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-small-story-24112-3757-v1-mkmlizer: ║     _____            __           __                                ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║       /___/                                                         ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║                                                                     ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║                                                                     ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║                                                                     ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
chaiml-small-story-24112-3757-v1-mkmlizer: ║                                                                     ║
chaiml-small-story-24112-3757-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-small-story-24112-3757-v1-mkmlizer: Downloaded to shared memory in 84.907s
chaiml-small-story-24112-3757-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptazwh1a8, device:0
chaiml-small-story-24112-3757-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-small-story-24112-3757-v1-mkmlizer: quantized model in 44.073s
chaiml-small-story-24112-3757-v1-mkmlizer: Processed model ChaiML/small_story_241126_96x50k_1823 in 128.980s
chaiml-small-story-24112-3757-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-small-story-24112-3757-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-small-story-24112-3757-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1
chaiml-small-story-24112-3757-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1/config.json
chaiml-small-story-24112-3757-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1/special_tokens_map.json
chaiml-small-story-24112-3757-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1/tokenizer_config.json
chaiml-small-story-24112-3757-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1/tokenizer.json
chaiml-small-story-24112-3757-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1/flywheel_model.1.safetensors
chaiml-small-story-24112-3757-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-small-story-24112-3757-v1/flywheel_model.0.safetensors
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Job chaiml-small-story-24112-3757-v1-mkmlizer completed after 155.83s with status: succeeded
Stopping job with name chaiml-small-story-24112-3757-v1-mkmlizer
Pipeline stage MKMLizer completed in 156.39s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-small-story-24112-3757-v1
Waiting for inference service chaiml-small-story-24112-3757-v1 to be ready
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Inference service chaiml-small-story-24112-3757-v1 ready after 120.44413208961487s
Pipeline stage MKMLDeployer completed in 121.07s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.765225410461426s
Received healthy response to inference request in 2.6167492866516113s
Received healthy response to inference request in 2.5004618167877197s
Received healthy response to inference request in 2.572676658630371s
Received healthy response to inference request in 2.243621826171875s
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5th percentile: 2.294989824295044
10th percentile: 2.346357822418213
20th percentile: 2.449093818664551
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50th percentile: 2.572676658630371
60th percentile: 2.590305709838867
70th percentile: 2.607934761047363
80th percentile: 2.6464445114135744
90th percentile: 2.7058349609375
95th percentile: 2.7355301856994627
99th percentile: 2.759286365509033
mean time: 2.5397469997406006
Pipeline stage StressChecker completed in 14.11s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-small-story-24112-3757-v1-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3337.59s
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chaiml-small-story-24112_3757_v1 status is now inactive due to auto deactivation removed underperforming models