developer_uid: azuruce
submission_id: mistralai-mistral-nemo-_9330_v77
model_name: ebony-horror-baseline2
model_group: mistralai/Mistral-Nemo-I
status: torndown
timestamp: 2024-09-17T01:34:18+00:00
num_battles: 10671
num_wins: 4767
celo_rating: 1212.49
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': 0.626431390086035, 'latency_mean': 1.5962845981121063, 'latency_p50': 1.588357925415039, 'latency_p90': 1.7470537900924683}, {'batch_size': 3, 'throughput': 1.225478804043219, 'latency_mean': 2.4453475248813628, 'latency_p50': 2.4449135065078735, 'latency_p90': 2.656744956970215}, {'batch_size': 5, 'throughput': 1.521390335794155, 'latency_mean': 3.2771292686462403, 'latency_p50': 3.2890976667404175, 'latency_p90': 3.6948020696640014}, {'batch_size': 6, 'throughput': 1.6036183878815213, 'latency_mean': 3.7072416234016417, 'latency_p50': 3.6979767084121704, 'latency_p90': 4.173042821884155}, {'batch_size': 8, 'throughput': 1.7097920672172704, 'latency_mean': 4.650928384065628, 'latency_p50': 4.671428918838501, 'latency_p90': 5.305815958976746}, {'batch_size': 10, 'throughput': 1.7609949664553515, 'latency_mean': 5.627546350955964, 'latency_p50': 5.593673348426819, 'latency_p90': 6.346592450141906}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: ebony-horror-baseline2
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
ranking_group: single
throughput_3p7s: 1.62
us_pacific_date: 2024-09-16
win_ratio: 0.4467247680629744
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': "{bot_name}'s Persona: {memory}\n##Try to make the conversation scary while stay in character##\n", 'prompt_template': '{prompt}\n<START>\n', '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
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v77-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v77-mkmlizer to finish
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mistralai-mistral-nemo-9330-v77-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ Version: 0.10.1 ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ belonging to: ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v77-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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mistralai-mistral-nemo-9330-v77-mkmlizer: Downloaded to shared memory in 73.051s
mistralai-mistral-nemo-9330-v77-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8ki3whet, device:0
mistralai-mistral-nemo-9330-v77-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v77-mkmlizer: quantized model in 37.008s
mistralai-mistral-nemo-9330-v77-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 110.060s
mistralai-mistral-nemo-9330-v77-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v77-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v77-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v77
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-v77-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v77/flywheel_model.0.safetensors
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Job mistralai-mistral-nemo-9330-v77-mkmlizer completed after 136.09s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v77-mkmlizer
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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-v77 ready after 171.6316568851471s
Pipeline stage MKMLDeployer completed in 172.21s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4098763465881348s
Received healthy response to inference request in 1.5544066429138184s
Received healthy response to inference request in 2.9962470531463623s
Received healthy response to inference request in 1.7283806800842285s
Received healthy response to inference request in 1.1749861240386963s
5 requests
0 failed requests
5th percentile: 1.2508702278137207
10th percentile: 1.3267543315887451
20th percentile: 1.478522539138794
30th percentile: 1.5892014503479004
40th percentile: 1.6587910652160645
50th percentile: 1.7283806800842285
60th percentile: 2.000978946685791
70th percentile: 2.2735772132873535
80th percentile: 2.5271504878997804
90th percentile: 2.761698770523071
95th percentile: 2.8789729118347167
99th percentile: 2.9727922248840333
mean time: 1.9727793693542481
Pipeline stage StressChecker completed in 10.72s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 7.95s
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mistralai-mistral-nemo-_9330_v77 status is now deployed due to DeploymentManager action
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Pipeline stage MKMLProfilerTemplater completed in 0.11s
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Creating inference service mistralai-mistral-nemo-9330-v77-profiler
Waiting for inference service mistralai-mistral-nemo-9330-v77-profiler to be ready
Inference service mistralai-mistral-nemo-9330-v77-profiler ready after 160.4171462059021s
Pipeline stage MKMLProfilerDeployer completed in 160.78s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/mistralai-mistral-ne4368e0525dea5094deaa49b09cd980ce-deplop4gsh:/code/chaiverse_profiler_1726537394 --namespace tenant-chaiml-guanaco
kubectl exec -it mistralai-mistral-ne4368e0525dea5094deaa49b09cd980ce-deplop4gsh --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726537394 && 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_1726537394/summary.json'
kubectl exec -it mistralai-mistral-ne4368e0525dea5094deaa49b09cd980ce-deplop4gsh --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726537394/summary.json'
Pipeline stage MKMLProfilerRunner completed in 974.18s
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Running pipeline stage MKMLProfilerDeleter
Checking if service mistralai-mistral-nemo-9330-v77-profiler is running
Tearing down inference service mistralai-mistral-nemo-9330-v77-profiler
Service mistralai-mistral-nemo-9330-v77-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.80s
Shutdown handler de-registered
mistralai-mistral-nemo-_9330_v77 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v77 status is now torndown due to DeploymentManager action
ChatRequest
Generation Params
Prompt Formatter
Chat History
ChatMessage 1