developer_uid: azuruce
submission_id: mistralai-mistral-sma_53415_v107
model_name: mistralai-mistral-sma_53415_v107
model_group: mistralai/Mistral-Small-
status: torndown
timestamp: 2025-01-10T19:08:57+00:00
num_battles: 10511
num_wins: 5143
celo_rating: 1249.67
family_friendly_score: 0.5964
family_friendly_standard_error: 0.006938400968522935
submission_type: basic
model_repo: mistralai/Mistral-Small-Instruct-2409
model_architecture: MistralForCausalLM
model_num_parameters: 22247282688.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.3858713523535143, 'latency_mean': 2.5914766931533815, 'latency_p50': 2.573920965194702, 'latency_p90': 2.8824548244476316}, {'batch_size': 3, 'throughput': 0.7696407099093593, 'latency_mean': 3.8879277515411377, 'latency_p50': 3.897021174430847, 'latency_p90': 4.239828586578369}, {'batch_size': 5, 'throughput': 0.9940344716786357, 'latency_mean': 5.007210325002671, 'latency_p50': 4.959259986877441, 'latency_p90': 5.589718532562256}, {'batch_size': 6, 'throughput': 1.0570484441188166, 'latency_mean': 5.644575248956681, 'latency_p50': 5.607803463935852, 'latency_p90': 6.356011438369751}, {'batch_size': 10, 'throughput': 1.1791844922399604, 'latency_mean': 8.44061532497406, 'latency_p50': 8.435328245162964, 'latency_p90': 9.552905297279358}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: mistralai-mistral-sma_53415_v107
is_internal_developer: True
language_model: mistralai/Mistral-Small-Instruct-2409
model_size: 22B
ranking_group: single
throughput_3p7s: 0.73
us_pacific_date: 2025-01-10
win_ratio: 0.48929692702882693
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:', 'Me', '<|im_end|>', '<|eot_id|>'], 'max_input_tokens': 1024, '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 mistralai-mistral-sma-53415-v107-mkmlizer
Waiting for job on mistralai-mistral-sma-53415-v107-mkmlizer to finish
mistralai-mistral-sma-53415-v107-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-sma-53415-v107-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ /___/ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ belonging to: ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-sma-53415-v107-mkmlizer: ║ ║
mistralai-mistral-sma-53415-v107-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-sma-53415-v107-mkmlizer: Downloaded to shared memory in 94.797s
mistralai-mistral-sma-53415-v107-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppzg0k42h, device:0
mistralai-mistral-sma-53415-v107-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-sma-53415-v107-mkmlizer: quantized model in 43.222s
mistralai-mistral-sma-53415-v107-mkmlizer: Processed model mistralai/Mistral-Small-Instruct-2409 in 138.019s
mistralai-mistral-sma-53415-v107-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-sma-53415-v107-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-sma-53415-v107-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/config.json
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/special_tokens_map.json
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/tokenizer_config.json
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/tokenizer.model
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/tokenizer.json
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/flywheel_model.1.safetensors
mistralai-mistral-sma-53415-v107-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-sma-53415-v107/flywheel_model.0.safetensors
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Job mistralai-mistral-sma-53415-v107-mkmlizer completed after 166.46s with status: succeeded
Stopping job with name mistralai-mistral-sma-53415-v107-mkmlizer
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Inference service mistralai-mistral-sma-53415-v107 ready after 371.31664776802063s
Pipeline stage MKMLDeployer completed in 371.85s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7126288414001465s
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Received healthy response to inference request in 1.3621058464050293s
Received healthy response to inference request in 1.6978304386138916s
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5th percentile: 0.9677821159362793
10th percentile: 1.0663630485534668
20th percentile: 1.2635249137878417
30th percentile: 1.4292507648468018
40th percentile: 1.5635406017303466
50th percentile: 1.6978304386138916
60th percentile: 1.9226549625396727
70th percentile: 2.147479486465454
80th percentile: 2.350439167022705
90th percentile: 2.5315340042114256
95th percentile: 2.622081422805786
99th percentile: 2.6945193576812745
mean time: 1.7803316116333008
Pipeline stage StressChecker completed in 10.02s
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