jellywibble-ares250408200741

developer_uid: chai_backend_admin

submission_id: jellywibble-ares250408200741_v2

model_name: jellywibble-ares250408200741_v2

model_group: Jellywibble/Ares25040820

status: torndown

timestamp: 2025-04-08T19:45:34+00:00

num_battles: 5526

num_wins: 2770

celo_rating: 1286.26

family_friendly_score: 0.55

family_friendly_standard_error: 0.007035623639735145

submission_type: basic

model_repo: Jellywibble/Ares250408200741

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.3694817093723803, 'latency_mean': 2.70642884016037, 'latency_p50': 2.7145638465881348, 'latency_p90': 2.9691855907440186}, {'batch_size': 2, 'throughput': 0.5783062115509265, 'latency_mean': 3.4509436178207396, 'latency_p50': 3.4579017162323, 'latency_p90': 3.799752378463745}, {'batch_size': 3, 'throughput': 0.7368289841005938, 'latency_mean': 4.053076105117798, 'latency_p50': 4.059437274932861, 'latency_p90': 4.475727438926697}, {'batch_size': 4, 'throughput': 0.8495421598399563, 'latency_mean': 4.69922788977623, 'latency_p50': 4.71246600151062, 'latency_p90': 5.1560962200164795}, {'batch_size': 5, 'throughput': 0.9380216993623283, 'latency_mean': 5.3100009274482725, 'latency_p50': 5.317371129989624, 'latency_p90': 5.864557862281799}]

gpu_counts: {'NVIDIA RTX A6000': 1}

display_name: jellywibble-ares250408200741_v2

is_internal_developer: True

language_model: Jellywibble/Ares250408200741

model_size: 24B

ranking_group: single

throughput_3p7s: 0.65

us_pacific_date: 2025-04-08

win_ratio: 0.5012667390517553

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['You:', '\n', '####', '####\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}</s>\n', 'user_template': 'You: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': True}

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 jellywibble-ares250408200741-v2-mkmlizer
Waiting for job on jellywibble-ares250408200741-v2-mkmlizer to finish
jellywibble-ares250408200741-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
jellywibble-ares250408200741-v2-mkmlizer: ║     _____            __           __                                ║
jellywibble-ares250408200741-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jellywibble-ares250408200741-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jellywibble-ares250408200741-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jellywibble-ares250408200741-v2-mkmlizer: ║       /___/                                                         ║
jellywibble-ares250408200741-v2-mkmlizer: ║                                                                     ║
jellywibble-ares250408200741-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
jellywibble-ares250408200741-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jellywibble-ares250408200741-v2-mkmlizer: ║  https://mk1.ai                                                     ║
jellywibble-ares250408200741-v2-mkmlizer: ║                                                                     ║
jellywibble-ares250408200741-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
jellywibble-ares250408200741-v2-mkmlizer: ║  belonging to:                                                      ║
jellywibble-ares250408200741-v2-mkmlizer: ║                                                                     ║
jellywibble-ares250408200741-v2-mkmlizer: ║  Chai Research Corp.                                                ║
jellywibble-ares250408200741-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jellywibble-ares250408200741-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
jellywibble-ares250408200741-v2-mkmlizer: ║                                                                     ║
jellywibble-ares250408200741-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
jellywibble-ares250408200741-v2-mkmlizer: Downloaded to shared memory in 97.738s
jellywibble-ares250408200741-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8q0n354a, device:0
jellywibble-ares250408200741-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jellywibble-ares250408200741-v2-mkmlizer: quantized model in 53.572s
jellywibble-ares250408200741-v2-mkmlizer: Processed model Jellywibble/Ares250408200741 in 151.310s
jellywibble-ares250408200741-v2-mkmlizer: creating bucket guanaco-mkml-models
jellywibble-ares250408200741-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jellywibble-ares250408200741-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jellywibble-ares250408200741-v2
jellywibble-ares250408200741-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jellywibble-ares250408200741-v2/config.json
jellywibble-ares250408200741-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jellywibble-ares250408200741-v2/special_tokens_map.json
jellywibble-ares250408200741-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jellywibble-ares250408200741-v2/tokenizer_config.json
jellywibble-ares250408200741-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jellywibble-ares250408200741-v2/tokenizer.json
jellywibble-ares250408200741-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/jellywibble-ares250408200741-v2/flywheel_model.1.safetensors
jellywibble-ares250408200741-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jellywibble-ares250408200741-v2/flywheel_model.0.safetensors
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Job jellywibble-ares250408200741-v2-mkmlizer completed after 176.83s with status: succeeded
Stopping job with name jellywibble-ares250408200741-v2-mkmlizer
Pipeline stage MKMLizer completed in 177.27s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service jellywibble-ares250408200741-v2
Waiting for inference service jellywibble-ares250408200741-v2 to be ready
Inference service jellywibble-ares250408200741-v2 ready after 110.39397549629211s
Pipeline stage MKMLDeployer completed in 111.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.2895917892456055s
Received healthy response to inference request in 2.656435966491699s
Received healthy response to inference request in 2.7176284790039062s
Received healthy response to inference request in 2.4046497344970703s
Received healthy response to inference request in 2.5641746520996094s
5 requests
0 failed requests
5th percentile: 2.436554718017578
10th percentile: 2.468459701538086
20th percentile: 2.5322696685791017
30th percentile: 2.5826269149780274
40th percentile: 2.619531440734863
50th percentile: 2.656435966491699
60th percentile: 2.680912971496582
70th percentile: 2.705389976501465
80th percentile: 2.832021141052246
90th percentile: 3.060806465148926
95th percentile: 3.1751991271972657
99th percentile: 3.2667132568359376
mean time: 2.726496124267578
Pipeline stage StressChecker completed in 15.09s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 1.47s
Shutdown handler de-registered
jellywibble-ares250408200741_v2 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.08s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service jellywibble-ares250408200741-v2-profiler
Waiting for inference service jellywibble-ares250408200741-v2-profiler to be ready
Shutdown handler registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2981.61s
Shutdown handler de-registered
jellywibble-ares250408200741_v2 status is now inactive due to auto deactivation removed underperforming models
jellywibble-ares250408200741_v2 status is now torndown due to DeploymentManager action
jellywibble-ares250408200741_v2 status is now torndown due to DeploymentManager action