developer_uid: Jellywibble
submission_id: mistralai-mistral-nemo_9330_v207
model_name: My-Christian-Model
model_group: mistralai/Mistral-Nemo-I
status: inactive
timestamp: 2024-11-26T19:54:50+00:00
num_battles: 17890
num_wins: 7723
celo_rating: 1212.75
family_friendly_score: 0.5864
family_friendly_standard_error: 0.006964697265495466
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.614357412402196, 'latency_mean': 1.6276342141628266, 'latency_p50': 1.6286671161651611, 'latency_p90': 1.7837435007095337}, {'batch_size': 3, 'throughput': 1.129558330443067, 'latency_mean': 2.6488340246677398, 'latency_p50': 2.65341854095459, 'latency_p90': 2.9560932636260984}, {'batch_size': 5, 'throughput': 1.3578439509808473, 'latency_mean': 3.6681436932086946, 'latency_p50': 3.699676275253296, 'latency_p90': 4.102466249465942}, {'batch_size': 6, 'throughput': 1.4223103015578795, 'latency_mean': 4.192187389135361, 'latency_p50': 4.209270596504211, 'latency_p90': 4.727450919151306}, {'batch_size': 8, 'throughput': 1.4968025196462191, 'latency_mean': 5.317828252315521, 'latency_p50': 5.2659794092178345, 'latency_p90': 5.953010630607605}, {'batch_size': 10, 'throughput': 1.5520469682719467, 'latency_mean': 6.400213859081268, 'latency_p50': 6.372836947441101, 'latency_p90': 7.299706697463989}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: My-Christian-Model
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.37
us_pacific_date: 2024-11-26
win_ratio: 0.4316936836221353
generation_params: {'temperature': 0.99, 'top_p': 0.2, 'min_p': 0.0, 'top_k': 40, '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 mistralai-mistral-nemo-9330-v207-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v207-mkmlizer to finish
mistralai-mistral-nemo-9330-v207-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v207-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  Version: 0.11.12                                                   ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v207-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v207-mkmlizer: Downloaded to shared memory in 56.144s
mistralai-mistral-nemo-9330-v207-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpxxtqozzk, device:0
mistralai-mistral-nemo-9330-v207-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v207-mkmlizer: quantized model in 35.624s
mistralai-mistral-nemo-9330-v207-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 91.769s
mistralai-mistral-nemo-9330-v207-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v207-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v207-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v207
mistralai-mistral-nemo-9330-v207-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v207/config.json
mistralai-mistral-nemo-9330-v207-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v207/special_tokens_map.json
mistralai-mistral-nemo-9330-v207-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v207/tokenizer_config.json
mistralai-mistral-nemo-9330-v207-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v207/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v207-mkmlizer: 
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Job mistralai-mistral-nemo-9330-v207-mkmlizer completed after 114.43s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v207-mkmlizer
Pipeline stage MKMLizer completed in 114.92s
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Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v207
Waiting for inference service mistralai-mistral-nemo-9330-v207 to be ready
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Inference service mistralai-mistral-nemo-9330-v207 ready after 120.62609362602234s
Pipeline stage MKMLDeployer completed in 121.15s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.4623126983642578s
Received healthy response to inference request in 0.8824758529663086s
Received healthy response to inference request in 1.2336320877075195s
Received healthy response to inference request in 1.1038823127746582s
Received healthy response to inference request in 1.1755480766296387s
5 requests
0 failed requests
5th percentile: 0.9267571449279786
10th percentile: 0.9710384368896484
20th percentile: 1.0596010208129882
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50th percentile: 1.1755480766296387
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90th percentile: 1.3708404541015624
95th percentile: 1.4165765762329101
99th percentile: 1.4531654739379882
mean time: 1.1715702056884765
Pipeline stage StressChecker completed in 7.28s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 2.66s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2747.70s
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mistralai-mistral-nemo_9330_v207 status is now inactive due to auto deactivation removed underperforming models