developer_uid: azuruce
submission_id: mistralai-mistral-nem_93303_v259
model_name: mistralai-mistral-nem_93303_v259
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-09T21:13:33+00:00
num_battles: 9860
num_wins: 4515
celo_rating: 1233.08
family_friendly_score: 0.5982000000000001
family_friendly_standard_error: 0.0069333507051064424
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6280321086488553, 'latency_mean': 1.5921866726875304, 'latency_p50': 1.6036404371261597, 'latency_p90': 1.7388118982315064}, {'batch_size': 3, 'throughput': 1.2645876012678203, 'latency_mean': 2.368006937503815, 'latency_p50': 2.3496369123458862, 'latency_p90': 2.655390739440918}, {'batch_size': 5, 'throughput': 1.6119559074157637, 'latency_mean': 3.0842333233356474, 'latency_p50': 3.073015332221985, 'latency_p90': 3.4303119659423826}, {'batch_size': 6, 'throughput': 1.709905966492932, 'latency_mean': 3.4816590774059297, 'latency_p50': 3.4859976768493652, 'latency_p90': 3.874129891395569}, {'batch_size': 8, 'throughput': 1.8568047554042344, 'latency_mean': 4.286233203411102, 'latency_p50': 4.27262544631958, 'latency_p90': 4.79317877292633}, {'batch_size': 10, 'throughput': 1.9482881579586158, 'latency_mean': 5.091564141511917, 'latency_p50': 5.064244389533997, 'latency_p90': 5.819400095939636}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v259
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.77
us_pacific_date: 2025-01-09
win_ratio: 0.4579107505070994
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.001, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '####', 'Bot:', 'User:', 'You:', '<|im_end|>', '<|eot_id|>', 'Me:'], '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 mistralai-mistral-nem-93303-v259-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v259-mkmlizer to finish
mistralai-mistral-nem-93303-v259-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v259-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v259-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v259-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v259-mkmlizer: Downloaded to shared memory in 59.015s
mistralai-mistral-nem-93303-v259-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0dvkqtui, device:0
mistralai-mistral-nem-93303-v259-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Retrying (%r) after connection broken by '%r': %s
mistralai-mistral-nem-93303-v259-mkmlizer: quantized model in 35.572s
mistralai-mistral-nem-93303-v259-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 94.587s
mistralai-mistral-nem-93303-v259-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v259-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v259-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v259
mistralai-mistral-nem-93303-v259-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v259/special_tokens_map.json
mistralai-mistral-nem-93303-v259-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v259/config.json
mistralai-mistral-nem-93303-v259-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v259/tokenizer_config.json
mistralai-mistral-nem-93303-v259-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v259/tokenizer.json
mistralai-mistral-nem-93303-v259-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v259/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v259-mkmlizer completed after 115.52s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v259-mkmlizer
Pipeline stage MKMLizer completed in 116.03s
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Creating inference service mistralai-mistral-nem-93303-v259
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Creating inference service mistralai-mistral-nem-93303-v259
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Inference service mistralai-mistral-nem-93303-v259 ready after 352.2278892993927s
Pipeline stage MKMLDeployer completed in 955.60s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.10494065284729s
Received healthy response to inference request in 0.9597787857055664s
Received healthy response to inference request in 1.0236766338348389s
Received healthy response to inference request in 1.6164166927337646s
Received healthy response to inference request in 0.6179168224334717s
5 requests
0 failed requests
5th percentile: 0.6862892150878906
10th percentile: 0.7546616077423096
20th percentile: 0.8914063930511474
30th percentile: 0.9725583553314209
40th percentile: 0.9981174945831299
50th percentile: 1.0236766338348389
60th percentile: 1.0561822414398194
70th percentile: 1.0886878490447998
80th percentile: 1.207235860824585
90th percentile: 1.411826276779175
95th percentile: 1.5141214847564697
99th percentile: 1.5959576511383056
mean time: 1.0645459175109864
Pipeline stage StressChecker completed in 7.09s
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mistralai-mistral-nem_93303_v259 status is now deployed due to DeploymentManager action
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2640.21s
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ChatRequest
Generation Params
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ChatMessage 1