developer_uid: azuruce
submission_id: mistralai-mistral-nem_93303_v261
model_name: mistralai-mistral-nem_93303_v261
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-10T18:45:00+00:00
num_battles: 7200
num_wins: 3509
celo_rating: 1247.39
family_friendly_score: 0.5944
family_friendly_standard_error: 0.006943898616771417
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': 0.6356412373504523, 'latency_mean': 1.5731419575214387, 'latency_p50': 1.5601093769073486, 'latency_p90': 1.7354783535003662}, {'batch_size': 3, 'throughput': 1.267354464936315, 'latency_mean': 2.3650998711585998, 'latency_p50': 2.367801547050476, 'latency_p90': 2.596496915817261}, {'batch_size': 5, 'throughput': 1.6063771168961885, 'latency_mean': 3.0959448838233947, 'latency_p50': 3.069748044013977, 'latency_p90': 3.5334708213806154}, {'batch_size': 6, 'throughput': 1.7087536879149547, 'latency_mean': 3.498372050523758, 'latency_p50': 3.4831063747406006, 'latency_p90': 3.93434362411499}, {'batch_size': 8, 'throughput': 1.863357345754993, 'latency_mean': 4.2655302298069, 'latency_p50': 4.309409737586975, 'latency_p90': 4.7621139764785765}, {'batch_size': 10, 'throughput': 1.9627372193069217, 'latency_mean': 5.061344774961472, 'latency_p50': 5.067620277404785, 'latency_p90': 5.760269045829773}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: mistralai-mistral-nem_93303_v261
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.76
us_pacific_date: 2025-01-10
win_ratio: 0.48736111111111113
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-v261-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v261-mkmlizer to finish
mistralai-mistral-nem-93303-v261-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v261-mkmlizer: ║ _____ __ __ ║
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mistralai-mistral-nem-93303-v261-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v261-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v261-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v261-mkmlizer: Downloaded to shared memory in 54.709s
mistralai-mistral-nem-93303-v261-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpw1bo55p_, device:0
mistralai-mistral-nem-93303-v261-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v261-mkmlizer: quantized model in 39.286s
mistralai-mistral-nem-93303-v261-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 93.995s
mistralai-mistral-nem-93303-v261-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v261-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v261-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v261
mistralai-mistral-nem-93303-v261-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v261/config.json
mistralai-mistral-nem-93303-v261-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v261/special_tokens_map.json
mistralai-mistral-nem-93303-v261-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v261/tokenizer_config.json
mistralai-mistral-nem-93303-v261-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v261/tokenizer.json
mistralai-mistral-nem-93303-v261-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v261/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v261-mkmlizer completed after 146.95s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v261-mkmlizer
Pipeline stage MKMLizer completed in 147.43s
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Creating inference service mistralai-mistral-nem-93303-v261
Waiting for inference service mistralai-mistral-nem-93303-v261 to be ready
Inference service mistralai-mistral-nem-93303-v261 ready after 371.49463844299316s
Pipeline stage MKMLDeployer completed in 372.00s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.714972734451294s
Received healthy response to inference request in 0.8032815456390381s
Received healthy response to inference request in 1.2193527221679688s
Received healthy response to inference request in 0.9345982074737549s
Received healthy response to inference request in 1.5173921585083008s
5 requests
0 failed requests
5th percentile: 0.8295448780059814
10th percentile: 0.8558082103729248
20th percentile: 0.9083348751068115
30th percentile: 0.9915491104125976
40th percentile: 1.1054509162902832
50th percentile: 1.2193527221679688
60th percentile: 1.3385684967041016
70th percentile: 1.4577842712402342
80th percentile: 1.5569082736968995
90th percentile: 1.6359405040740966
95th percentile: 1.6754566192626952
99th percentile: 1.707069511413574
mean time: 1.2379194736480712
Pipeline stage StressChecker completed in 7.47s
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mistralai-mistral-nem_93303_v261 status is now torndown due to DeploymentManager action