mistralai-mistral-nemo-_9330

developer_uid: azuruce

submission_id: mistralai-mistral-nemo-_9330_v82

model_name: ebony-horror-baseline-no-memory

model_group: mistralai/Mistral-Nemo-I

status: torndown

timestamp: 2024-09-17T17:25:45+00:00

num_battles: 11208

num_wins: 5051

celo_rating: 1215.75

family_friendly_score: 0.0

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': 0.643862762963549, 'latency_mean': 1.5530563151836396, 'latency_p50': 1.5580476522445679, 'latency_p90': 1.7062519788742065}, {'batch_size': 3, 'throughput': 1.2661925886901961, 'latency_mean': 2.356789227724075, 'latency_p50': 2.3585575819015503, 'latency_p90': 2.6727595806121824}, {'batch_size': 5, 'throughput': 1.5853705563052152, 'latency_mean': 3.133271188735962, 'latency_p50': 3.1351808309555054, 'latency_p90': 3.540229606628418}, {'batch_size': 6, 'throughput': 1.662548108629473, 'latency_mean': 3.585523886680603, 'latency_p50': 3.591152310371399, 'latency_p90': 4.032595992088318}, {'batch_size': 8, 'throughput': 1.7677535797270876, 'latency_mean': 4.49026526093483, 'latency_p50': 4.491117835044861, 'latency_p90': 5.013192296028137}, {'batch_size': 10, 'throughput': 1.8183198355775354, 'latency_mean': 5.452245891094208, 'latency_p50': 5.433968186378479, 'latency_p90': 6.1634400367736815}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: ebony-horror-baseline-no-memory

is_internal_developer: True

language_model: mistralai/Mistral-Nemo-Instruct-2407

model_size: 13B

ranking_group: single

throughput_3p7s: 1.69

us_pacific_date: 2024-09-17

win_ratio: 0.4506602426837973

generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>'], '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-nemo-9330-v82-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v82-mkmlizer to finish
mistralai-mistral-nemo-9330-v82-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v82-mkmlizer: ║     _____            __           __                                ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║       /___/                                                         ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  Version: 0.10.1                                                    ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  https://mk1.ai                                                     ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  The license key for the current software has been verified as      ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  belonging to:                                                      ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  Chai Research Corp.                                                ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ║                                                                     ║
mistralai-mistral-nemo-9330-v82-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
mistralai-mistral-nemo-9330-v82-mkmlizer: Downloaded to shared memory in 54.434s
mistralai-mistral-nemo-9330-v82-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjv5wgwxw, device:0
mistralai-mistral-nemo-9330-v82-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v82-mkmlizer: quantized model in 36.032s
mistralai-mistral-nemo-9330-v82-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 90.466s
mistralai-mistral-nemo-9330-v82-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v82-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v82-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v82
mistralai-mistral-nemo-9330-v82-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v82/config.json
mistralai-mistral-nemo-9330-v82-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v82/special_tokens_map.json
mistralai-mistral-nemo-9330-v82-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v82/tokenizer_config.json
mistralai-mistral-nemo-9330-v82-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v82/tokenizer.json
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
mistralai-mistral-nemo-9330-v82-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v82/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v82-mkmlizer: 
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Job mistralai-mistral-nemo-9330-v82-mkmlizer completed after 126.41s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v82-mkmlizer
Pipeline stage MKMLizer completed in 127.26s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.10s
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Running pipeline stage MKMLDeployer
Creating inference service mistralai-mistral-nemo-9330-v82
Waiting for inference service mistralai-mistral-nemo-9330-v82 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Failed to get response for submission blend_hokok_2024-09-09: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service mistralai-mistral-nemo-9330-v82 ready after 181.6850938796997s
Pipeline stage MKMLDeployer completed in 182.17s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.090486764907837s
Received healthy response to inference request in 0.9940121173858643s
Received healthy response to inference request in 0.9014146327972412s
Received healthy response to inference request in 0.6856076717376709s
Received healthy response to inference request in 1.227501392364502s
5 requests
0 failed requests
5th percentile: 0.728769063949585
10th percentile: 0.771930456161499
20th percentile: 0.8582532405853271
30th percentile: 0.9199341297149658
40th percentile: 0.9569731235504151
50th percentile: 0.9940121173858643
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90th percentile: 1.745292615890503
95th percentile: 1.9178896903991698
99th percentile: 2.0559673500061035
mean time: 1.179804515838623
Pipeline stage StressChecker completed in 6.54s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.58s
Shutdown handler de-registered
mistralai-mistral-nemo-_9330_v82 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Skipping teardown as no inference service was successfully deployed
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Creating inference service mistralai-mistral-nemo-9330-v82-profiler
Waiting for inference service mistralai-mistral-nemo-9330-v82-profiler to be ready
Inference service mistralai-mistral-nemo-9330-v82-profiler ready after 180.41683292388916s
Pipeline stage MKMLProfilerDeployer completed in 180.81s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-ned49a3e4171978248e82df206a4d453aa-deplogt795:/code/chaiverse_profiler_1726594499 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-ned49a3e4171978248e82df206a4d453aa-deplogt795 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726594499 && python profiles.py profile --best_of_n 4 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1726594499/summary.json'
kubectl exec -it mistralai-mistral-ned49a3e4171978248e82df206a4d453aa-deplogt795 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726594499/summary.json'
Pipeline stage MKMLProfilerRunner completed in 943.72s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mistral-nemo-9330-v82-profiler is running
Tearing down inference service mistralai-mistral-nemo-9330-v82-profiler
Service mistralai-mistral-nemo-9330-v82-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.02s
Shutdown handler de-registered
mistralai-mistral-nemo-_9330_v82 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v82 status is now torndown due to DeploymentManager action