submission_id: trace2333-mistral-trail9-1476_v1
developer_uid: Trace2333
best_of: 8
celo_rating: 1251.44
display_name: trace2333-mistral-trail9-1476_v1
family_friendly_score: 0.0
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\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}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Trace2333/mistral_trail9_1476
latencies: [{'batch_size': 1, 'throughput': 0.6922029663346807, 'latency_mean': 1.4446026384830475, 'latency_p50': 1.4542417526245117, 'latency_p90': 1.5873795747756958}, {'batch_size': 3, 'throughput': 1.3133851827778231, 'latency_mean': 2.2761654341220856, 'latency_p50': 2.296258568763733, 'latency_p90': 2.5028340816497803}, {'batch_size': 5, 'throughput': 1.5692916478191807, 'latency_mean': 3.1682727777957918, 'latency_p50': 3.171873927116394, 'latency_p90': 3.579250717163086}, {'batch_size': 6, 'throughput': 1.6214185760700026, 'latency_mean': 3.681028972864151, 'latency_p50': 3.6503318548202515, 'latency_p90': 4.2112878322601315}, {'batch_size': 8, 'throughput': 1.597570890121921, 'latency_mean': 4.966884903907776, 'latency_p50': 4.978946805000305, 'latency_p90': 5.664175486564636}, {'batch_size': 10, 'throughput': 1.5461929466986626, 'latency_mean': 6.431546038389206, 'latency_p50': 6.499734044075012, 'latency_p90': 7.37032642364502}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trail9
model_name: trace2333-mistral-trail9-1476_v1
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trail9_1476
model_size: 13B
num_battles: 12374
num_wins: 6406
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.63
timestamp: 2024-09-10T13:48:18+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5176983998706967
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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 trace2333-mistral-trail9-1476-v1-mkmlizer
Waiting for job on trace2333-mistral-trail9-1476-v1-mkmlizer to finish
trace2333-mistral-trail9-1476-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ _____ __ __ ║
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trace2333-mistral-trail9-1476-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ /___/ ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ https://mk1.ai ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ belonging to: ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ Chai Research Corp. ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ║ ║
trace2333-mistral-trail9-1476-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trail9-1476-v1-mkmlizer: Downloaded to shared memory in 46.477s
trace2333-mistral-trail9-1476-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcnhwy23n, device:0
trace2333-mistral-trail9-1476-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail9-1476-v1-mkmlizer: quantized model in 35.726s
trace2333-mistral-trail9-1476-v1-mkmlizer: Processed model Trace2333/mistral_trail9_1476 in 82.203s
trace2333-mistral-trail9-1476-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail9-1476-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail9-1476-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trail9-1476-v1
trace2333-mistral-trail9-1476-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail9-1476-v1/config.json
trace2333-mistral-trail9-1476-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail9-1476-v1/special_tokens_map.json
trace2333-mistral-trail9-1476-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail9-1476-v1/tokenizer_config.json
trace2333-mistral-trail9-1476-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail9-1476-v1/tokenizer.json
trace2333-mistral-trail9-1476-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail9-1476-v1/flywheel_model.0.safetensors
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Job trace2333-mistral-trail9-1476-v1-mkmlizer completed after 106.19s with status: succeeded
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Inference service trace2333-mistral-trail9-1476-v1 ready after 160.8481044769287s
Pipeline stage MKMLDeployer completed in 161.26s
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Received healthy response to inference request in 2.400277853012085s
Received healthy response to inference request in 2.327908515930176s
Received healthy response to inference request in 2.1077628135681152s
Received healthy response to inference request in 2.4661543369293213s
Received healthy response to inference request in 2.0190584659576416s
5 requests
0 failed requests
5th percentile: 2.0367993354797362
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mean time: 2.2642323970794678
Pipeline stage StressChecker completed in 12.21s
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Inference service trace2333-mistral-trail9-1476-v1-profiler ready after 160.399108171463s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-tr9ae314ea2e429820f56c41a795624eab-deplolwbc8:/code/chaiverse_profiler_1725976590 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-tr9ae314ea2e429820f56c41a795624eab-deplolwbc8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725976590 && python profiles.py profile --best_of_n 8 --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 512 --output_tokens 64 --summary /code/chaiverse_profiler_1725976590/summary.json'
kubectl exec -it trace2333-mistral-tr9ae314ea2e429820f56c41a795624eab-deplolwbc8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725976590/summary.json'
Pipeline stage MKMLProfilerRunner completed in 953.04s
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Checking if service trace2333-mistral-trail9-1476-v1-profiler is running
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trace2333-mistral-trail9-1476_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-trail9-1476_v1 status is now torndown due to DeploymentManager action