rirv938-mistral-24b-grp_17707

developer_uid: rirv938

submission_id: rirv938-mistral-24b-grp_17707_v1

model_name: rirv938-mistral-24b-grp_17707_v1

model_group: rirv938/mistral_24b_grpo

status: torndown

timestamp: 2025-04-29T17:19:58+00:00

num_battles: 6272

num_wins: 3416

celo_rating: 1337.77

family_friendly_score: 0.5742

family_friendly_standard_error: 0.00699277284058334

submission_type: basic

model_repo: rirv938/mistral_24b_grpo_40k_cp888_92ff_merged

model_architecture: MistralForCausalLM

model_num_parameters: 24096691200.0

best_of: 8

max_input_tokens: 768

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5593496676740934, 'latency_mean': 1.7877353167533874, 'latency_p50': 1.7901440858840942, 'latency_p90': 1.982016921043396}, {'batch_size': 4, 'throughput': 1.382164759421664, 'latency_mean': 2.8786094260215758, 'latency_p50': 2.896320343017578, 'latency_p90': 3.1688868522644045}, {'batch_size': 5, 'throughput': 1.5505295005321638, 'latency_mean': 3.208478274345398, 'latency_p50': 3.214741826057434, 'latency_p90': 3.5721801996231077}, {'batch_size': 8, 'throughput': 1.857395090739363, 'latency_mean': 4.264206122159958, 'latency_p50': 4.261017203330994, 'latency_p90': 4.83177764415741}, {'batch_size': 10, 'throughput': 1.9831264108169369, 'latency_mean': 4.987090502977371, 'latency_p50': 4.99527382850647, 'latency_p90': 5.6539925813674925}, {'batch_size': 12, 'throughput': 2.04799547001002, 'latency_mean': 5.790641232728958, 'latency_p50': 5.784285664558411, 'latency_p90': 6.512173509597778}, {'batch_size': 15, 'throughput': 2.118450579058137, 'latency_mean': 6.993679115772247, 'latency_p50': 6.930857419967651, 'latency_p90': 7.981913280487061}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: rirv938-mistral-24b-grp_17707_v1

is_internal_developer: True

language_model: rirv938/mistral_24b_grpo_40k_cp888_92ff_merged

model_size: 24B

ranking_group: single

throughput_3p7s: 1.73

us_pacific_date: 2025-04-29

win_ratio: 0.5446428571428571

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.2, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['</s>', '\n', 'You:', '###'], 'max_input_tokens': 768, 'best_of': 8, '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-24b-grp-17707-v1-mkmlizer
Waiting for job on rirv938-mistral-24b-grp-17707-v1-mkmlizer to finish
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║     _____            __           __                                ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║       /___/                                                         ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  Version: 0.12.8                                                    ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  belonging to:                                                      ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ║                                                                     ║
rirv938-mistral-24b-grp-17707-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rirv938-mistral-24b-grp-17707-v1-mkmlizer: Downloaded to shared memory in 160.541s
rirv938-mistral-24b-grp-17707-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5how8auy, device:0
rirv938-mistral-24b-grp-17707-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
rirv938-mistral-24b-grp-17707-v1-mkmlizer: quantized model in 65.939s
rirv938-mistral-24b-grp-17707-v1-mkmlizer: Processed model rirv938/mistral_24b_grpo_40k_cp888_92ff_merged in 226.480s
rirv938-mistral-24b-grp-17707-v1-mkmlizer: creating bucket guanaco-mkml-models
rirv938-mistral-24b-grp-17707-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rirv938-mistral-24b-grp-17707-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rirv938-mistral-24b-grp-17707-v1
rirv938-mistral-24b-grp-17707-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rirv938-mistral-24b-grp-17707-v1/config.json
rirv938-mistral-24b-grp-17707-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rirv938-mistral-24b-grp-17707-v1/special_tokens_map.json
rirv938-mistral-24b-grp-17707-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rirv938-mistral-24b-grp-17707-v1/tokenizer_config.json
rirv938-mistral-24b-grp-17707-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/rirv938-mistral-24b-grp-17707-v1/flywheel_model.1.safetensors
rirv938-mistral-24b-grp-17707-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rirv938-mistral-24b-grp-17707-v1/flywheel_model.0.safetensors
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Job rirv938-mistral-24b-grp-17707-v1-mkmlizer completed after 269.71s with status: succeeded
Stopping job with name rirv938-mistral-24b-grp-17707-v1-mkmlizer
Pipeline stage MKMLizer completed in 270.18s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
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Running pipeline stage MKMLDeployer
Creating inference service rirv938-mistral-24b-grp-17707-v1
Waiting for inference service rirv938-mistral-24b-grp-17707-v1 to be ready
Inference service rirv938-mistral-24b-grp-17707-v1 ready after 140.46265077590942s
Pipeline stage MKMLDeployer completed in 140.99s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.744131565093994s
Received healthy response to inference request in 1.9976296424865723s
Received healthy response to inference request in 2.2063162326812744s
Received healthy response to inference request in 1.8987512588500977s
Received healthy response to inference request in 2.032151460647583s
5 requests
0 failed requests
5th percentile: 1.9185269355773926
10th percentile: 1.9383026123046876
20th percentile: 1.9778539657592773
30th percentile: 2.0045340061187744
40th percentile: 2.0183427333831787
50th percentile: 2.032151460647583
60th percentile: 2.1018173694610596
70th percentile: 2.171483278274536
80th percentile: 2.3138792991638186
90th percentile: 2.529005432128906
95th percentile: 2.63656849861145
99th percentile: 2.7226189517974855
mean time: 2.1757960319519043
Pipeline stage StressChecker completed in 12.14s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2875.80s
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