developer_uid: zonemercy
submission_id: mistralai-mistral-nem_93303_v246
model_name: tempv1-0
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2025-01-03T23:29:00+00:00
num_battles: 14877
num_wins: 7390
celo_rating: 1252.64
family_friendly_score: 0.5972
family_friendly_standard_error: 0.006936168394726299
submission_type: basic
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 768
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6507181296741407, 'latency_mean': 1.5366737949848175, 'latency_p50': 1.537211298942566, 'latency_p90': 1.6984876155853272}, {'batch_size': 3, 'throughput': 1.2670995859540126, 'latency_mean': 2.357136347293854, 'latency_p50': 2.3486768007278442, 'latency_p90': 2.6205732583999635}, {'batch_size': 5, 'throughput': 1.5626250808131377, 'latency_mean': 3.176152677536011, 'latency_p50': 3.192708730697632, 'latency_p90': 3.5193711280822755}, {'batch_size': 6, 'throughput': 1.6602295476632654, 'latency_mean': 3.5980596148967745, 'latency_p50': 3.5962997674942017, 'latency_p90': 4.045949339866638}, {'batch_size': 8, 'throughput': 1.7691858661144322, 'latency_mean': 4.493300944566727, 'latency_p50': 4.512331604957581, 'latency_p90': 5.0035954236984255}, {'batch_size': 10, 'throughput': 1.8343028773505765, 'latency_mean': 5.410114077329635, 'latency_p50': 5.373144149780273, 'latency_p90': 6.088874578475952}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: tempv1-0
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.68
us_pacific_date: 2025-01-03
win_ratio: 0.496739934126504
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|im_end|>', 'User:', 'You:', '####', '\n', '<|eot_id|>', 'Bot:', '</s>'], 'max_input_tokens': 768, '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-v246-mkmlizer
Waiting for job on mistralai-mistral-nem-93303-v246-mkmlizer to finish
mistralai-mistral-nem-93303-v246-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nem-93303-v246-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ /___/ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ Version: 0.11.12 ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ belonging to: ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
mistralai-mistral-nem-93303-v246-mkmlizer: ║ ║
mistralai-mistral-nem-93303-v246-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nem-93303-v246-mkmlizer: Downloaded to shared memory in 63.427s
mistralai-mistral-nem-93303-v246-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpet62p9_5, device:0
mistralai-mistral-nem-93303-v246-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nem-93303-v246-mkmlizer: quantized model in 37.496s
mistralai-mistral-nem-93303-v246-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 100.923s
mistralai-mistral-nem-93303-v246-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nem-93303-v246-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nem-93303-v246-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v246
mistralai-mistral-nem-93303-v246-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v246/config.json
mistralai-mistral-nem-93303-v246-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v246/special_tokens_map.json
mistralai-mistral-nem-93303-v246-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v246/tokenizer_config.json
mistralai-mistral-nem-93303-v246-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v246/tokenizer.json
mistralai-mistral-nem-93303-v246-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nem-93303-v246/flywheel_model.0.safetensors
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Job mistralai-mistral-nem-93303-v246-mkmlizer completed after 124.89s with status: succeeded
Stopping job with name mistralai-mistral-nem-93303-v246-mkmlizer
Pipeline stage MKMLizer completed in 125.37s
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Creating inference service mistralai-mistral-nem-93303-v246
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Inference service mistralai-mistral-nem-93303-v246 ready after 331.0974471569061s
Pipeline stage MKMLDeployer completed in 331.66s
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Received healthy response to inference request in 1.244288444519043s
Received healthy response to inference request in 1.5767016410827637s
Received healthy response to inference request in 1.1349139213562012s
Received healthy response to inference request in 1.0857603549957275s
Received healthy response to inference request in 1.5709788799285889s
5 requests
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5th percentile: 1.0955910682678223
10th percentile: 1.105421781539917
20th percentile: 1.1250832080841064
30th percentile: 1.1567888259887695
40th percentile: 1.2005386352539062
50th percentile: 1.244288444519043
60th percentile: 1.3749646186828612
70th percentile: 1.5056407928466797
80th percentile: 1.5721234321594237
90th percentile: 1.5744125366210937
95th percentile: 1.5755570888519288
99th percentile: 1.5764727306365967
mean time: 1.3225286483764649
Pipeline stage StressChecker completed in 12.93s
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mistralai-mistral-nem_93303_v246 status is now torndown due to DeploymentManager action