developer_uid: rirv938
submission_id: rirv938-mistral-filtered_1275_v1
model_name: rirv938-mistral-filtered_1275_v1
model_group: rirv938/mistral_filtered
status: torndown
timestamp: 2024-12-22T05:27:52+00:00
num_battles: 16611
num_wins: 8886
celo_rating: 1290.04
family_friendly_score: 0.5806
family_friendly_standard_error: 0.0069785906886705995
submission_type: basic
model_repo: rirv938/mistral_filtered_1116_v2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6280626696934548, 'latency_mean': 1.5920664548873902, 'latency_p50': 1.5906833410263062, 'latency_p90': 1.7440103769302369}, {'batch_size': 3, 'throughput': 1.253467883786218, 'latency_mean': 2.390378478765488, 'latency_p50': 2.380044937133789, 'latency_p90': 2.607942247390747}, {'batch_size': 5, 'throughput': 1.5790021458341243, 'latency_mean': 3.1567347300052644, 'latency_p50': 3.170056104660034, 'latency_p90': 3.565876865386963}, {'batch_size': 6, 'throughput': 1.6885667849064874, 'latency_mean': 3.5416566586494445, 'latency_p50': 3.5513548851013184, 'latency_p90': 4.018754887580871}, {'batch_size': 8, 'throughput': 1.8387288551589163, 'latency_mean': 4.318085240125656, 'latency_p50': 4.336837649345398, 'latency_p90': 4.819848608970642}, {'batch_size': 10, 'throughput': 1.902818269058596, 'latency_mean': 5.2122856092453, 'latency_p50': 5.253456115722656, 'latency_p90': 5.812937521934509}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rirv938-mistral-filtered_1275_v1
is_internal_developer: True
language_model: rirv938/mistral_filtered_1116_v2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.73
us_pacific_date: 2024-12-21
win_ratio: 0.5349467220516525
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', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>'], '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 rirv938-mistral-filtered-1275-v1-mkmlizer
Waiting for job on rirv938-mistral-filtered-1275-v1-mkmlizer to finish
rirv938-mistral-filtered-1275-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-mistral-filtered-1275-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║       /___/                                                         ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-filtered-1275-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-mistral-filtered-1275-v1-mkmlizer: Downloaded to shared memory in 103.290s
rirv938-mistral-filtered-1275-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpr9w4kvqh, device:0
rirv938-mistral-filtered-1275-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rirv938-mistral-filtered-1275-v1-mkmlizer: quantized model in 42.334s
rirv938-mistral-filtered-1275-v1-mkmlizer: Processed model rirv938/mistral_filtered_1116_v2 in 145.624s
rirv938-mistral-filtered-1275-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-mistral-filtered-1275-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-mistral-filtered-1275-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-mistral-filtered-1275-v1
rirv938-mistral-filtered-1275-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-mistral-filtered-1275-v1/config.json
rirv938-mistral-filtered-1275-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-mistral-filtered-1275-v1/special_tokens_map.json
rirv938-mistral-filtered-1275-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-mistral-filtered-1275-v1/tokenizer_config.json
rirv938-mistral-filtered-1275-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rirv938-mistral-filtered-1275-v1/tokenizer.json
rirv938-mistral-filtered-1275-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-mistral-filtered-1275-v1/flywheel_model.0.safetensors
rirv938-mistral-filtered-1275-v1-mkmlizer: 
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Job rirv938-mistral-filtered-1275-v1-mkmlizer completed after 166.14s with status: succeeded
Stopping job with name rirv938-mistral-filtered-1275-v1-mkmlizer
Pipeline stage MKMLizer completed in 166.65s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-mistral-filtered-1275-v1
Waiting for inference service rirv938-mistral-filtered-1275-v1 to be ready
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Inference service rirv938-mistral-filtered-1275-v1 ready after 250.9494616985321s
Pipeline stage MKMLDeployer completed in 251.46s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9478073120117188s
Received healthy response to inference request in 1.5348303318023682s
Received healthy response to inference request in 2.0319159030914307s
Received healthy response to inference request in 1.2610630989074707s
Received healthy response to inference request in 1.3713946342468262s
5 requests
0 failed requests
5th percentile: 1.2831294059753418
10th percentile: 1.3051957130432128
20th percentile: 1.3493283271789551
30th percentile: 1.4040817737579345
40th percentile: 1.4694560527801515
50th percentile: 1.5348303318023682
60th percentile: 1.7000211238861083
70th percentile: 1.8652119159698486
80th percentile: 1.9646290302276612
90th percentile: 1.998272466659546
95th percentile: 2.015094184875488
99th percentile: 2.028551559448242
mean time: 1.629402256011963
Pipeline stage StressChecker completed in 10.01s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2479.70s
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rirv938-mistral-filtered_1275_v1 status is now inactive due to auto deactivation removed underperforming models
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