developer_uid: AlexCuadron
submission_id: mistralai-mistral-nem_93303_v455
model_name: jhjhjk
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-03-11T20:41:03+00:00
num_battles: 10587
num_wins: 4903
celo_rating: 1245.87
family_friendly_score: 0.6036
family_friendly_standard_error: 0.006917615774238983
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': 0.6102302218074678, 'latency_mean': 1.6386417484283446, 'latency_p50': 1.630865216255188, 'latency_p90': 1.8040250778198241}, {'batch_size': 3, 'throughput': 1.1022360574035361, 'latency_mean': 2.705546464920044, 'latency_p50': 2.7093443870544434, 'latency_p90': 3.0185139656066893}, {'batch_size': 5, 'throughput': 1.327818953300942, 'latency_mean': 3.7408894515037536, 'latency_p50': 3.742696523666382, 'latency_p90': 4.21820867061615}, {'batch_size': 6, 'throughput': 1.3941732362983303, 'latency_mean': 4.281584523916244, 'latency_p50': 4.285741686820984, 'latency_p90': 4.7867430448532104}, {'batch_size': 8, 'throughput': 1.4532919253461805, 'latency_mean': 5.479830019474029, 'latency_p50': 5.482405185699463, 'latency_p90': 6.10468897819519}, {'batch_size': 10, 'throughput': 1.493978805079719, 'latency_mean': 6.63962826371193, 'latency_p50': 6.61238694190979, 'latency_p90': 7.595195412635803}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: jhjhjk
is_internal_developer: False
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-03-11
win_ratio: 0.46311514121091907
generation_params: {'temperature': 1.0, 'top_p': 1.0, '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': '', '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-v455-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v455-mkmlizer to finish
mistralai-mistral-nem-93303-v455-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v455-mkmlizer: ║ _____ __ __ ║
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mistralai-mistral-nem-93303-v455-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ Version: 0.12.8 ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v455-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v455-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v455-mkmlizer: Downloaded to shared memory in 52.349s
mistralai-mistral-nem-93303-v455-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp01zej6kx, device:0
mistralai-mistral-nem-93303-v455-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v455-mkmlizer: quantized model in 36.189s
mistralai-mistral-nem-93303-v455-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 88.538s
mistralai-mistral-nem-93303-v455-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v455-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v455-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v455
mistralai-mistral-nem-93303-v455-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v455/config.json
mistralai-mistral-nem-93303-v455-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v455/special_tokens_map.json
mistralai-mistral-nem-93303-v455-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v455/tokenizer_config.json
mistralai-mistral-nem-93303-v455-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v455/tokenizer.json
mistralai-mistral-nem-93303-v455-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v455/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v455-mkmlizer completed after 115.0s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v455-mkmlizer
Pipeline stage MKMLizer completed in 115.50s
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Creating inference service mistralai-mistral-nem-93303-v455
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Inference service mistralai-mistral-nem-93303-v455 ready after 90.39311003684998s
Pipeline stage MKMLDeployer completed in 91.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9955148696899414s
Received healthy response to inference request in 1.3644299507141113s
Received healthy response to inference request in 1.5161898136138916s
Received healthy response to inference request in 1.387937307357788s
Received healthy response to inference request in 1.131270408630371s
5 requests
0 failed requests
5th percentile: 1.1779023170471192
10th percentile: 1.2245342254638671
20th percentile: 1.3177980422973632
30th percentile: 1.3691314220428468
40th percentile: 1.3785343647003174
50th percentile: 1.387937307357788
60th percentile: 1.4392383098602295
70th percentile: 1.490539312362671
80th percentile: 1.6120548248291016
90th percentile: 1.8037848472595215
95th percentile: 1.8996498584747314
99th percentile: 1.9763418674468993
mean time: 1.4790684700012207
Pipeline stage StressChecker completed in 8.72s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2518.32s
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mistralai-mistral-nem_93303_v455 status is now torndown due to DeploymentManager action
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