trace2333-mistral-trail10

submission_id: trace2333-mistral-trail10_v1

developer_uid: Trace2333

best_of: 8

celo_rating: 1239.1

display_name: trace2333-mistral-trail10_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'], '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_trail10

latencies: [{'batch_size': 1, 'throughput': 0.6923713635840284, 'latency_mean': 1.4442065036296845, 'latency_p50': 1.4491405487060547, 'latency_p90': 1.608963966369629}, {'batch_size': 3, 'throughput': 1.3374250130508265, 'latency_mean': 2.2359941029548644, 'latency_p50': 2.2359143495559692, 'latency_p90': 2.4873916149139403}, {'batch_size': 5, 'throughput': 1.5773936356772427, 'latency_mean': 3.15988266825676, 'latency_p50': 3.1690045595169067, 'latency_p90': 3.566582703590393}, {'batch_size': 6, 'throughput': 1.6372275180596596, 'latency_mean': 3.651442143917084, 'latency_p50': 3.6639198064804077, 'latency_p90': 4.174341130256653}, {'batch_size': 8, 'throughput': 1.630471637407695, 'latency_mean': 4.883353621959686, 'latency_p50': 4.82685387134552, 'latency_p90': 5.632540249824523}, {'batch_size': 10, 'throughput': 1.5302652469271598, 'latency_mean': 6.482619183063507, 'latency_p50': 6.55799663066864, 'latency_p90': 7.355464148521423}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: MistralForCausalLM

model_group: Trace2333/mistral_trail1

model_name: trace2333-mistral-trail10_v1

model_num_parameters: 12772070400.0

model_repo: Trace2333/mistral_trail10

model_size: 13B

num_battles: 12987

num_wins: 6404

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 1.64

timestamp: 2024-09-11T11:42:06+00:00

us_pacific_date: 2024-09-11

win_ratio: 0.4931084931084931

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 trace2333-mistral-trail10-v1-mkmlizer
Waiting for job on trace2333-mistral-trail10-v1-mkmlizer to finish
trace2333-mistral-trail10-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trail10-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-mistral-trail10-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-mistral-trail10-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-mistral-trail10-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-mistral-trail10-v1-mkmlizer: ║       /___/                                                         ║
trace2333-mistral-trail10-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail10-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
trace2333-mistral-trail10-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-mistral-trail10-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-mistral-trail10-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail10-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-mistral-trail10-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-mistral-trail10-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail10-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-mistral-trail10-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-mistral-trail10-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-mistral-trail10-v1-mkmlizer: ║                                                                     ║
trace2333-mistral-trail10-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s. Connection pool size: %s
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trace2333-mistral-trail10-v1-mkmlizer: Downloaded to shared memory in 44.756s
trace2333-mistral-trail10-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6uujijr2, device:0
trace2333-mistral-trail10-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail10-v1-mkmlizer: quantized model in 36.247s
trace2333-mistral-trail10-v1-mkmlizer: Processed model Trace2333/mistral_trail10 in 81.003s
trace2333-mistral-trail10-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail10-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/config.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/special_tokens_map.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/tokenizer_config.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/tokenizer.json
trace2333-mistral-trail10-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail10-v1/flywheel_model.0.safetensors
trace2333-mistral-trail10-v1-mkmlizer: 
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Job trace2333-mistral-trail10-v1-mkmlizer completed after 105.51s with status: succeeded
Stopping job with name trace2333-mistral-trail10-v1-mkmlizer
Pipeline stage MKMLizer completed in 107.01s
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Pipeline stage MKMLTemplater completed in 0.18s
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Running pipeline stage MKMLDeployer
Creating inference service trace2333-mistral-trail10-v1
Waiting for inference service trace2333-mistral-trail10-v1 to be ready
Failed to get response for submission chaiml-elo-alignment-run-3_v36: ('http://chaiml-elo-alignment-run-3-v36-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:55112->127.0.0.1:8080: read: connection reset by peer\n')
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Inference service trace2333-mistral-trail10-v1 ready after 222.55123090744019s
Pipeline stage MKMLDeployer completed in 223.69s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8530290126800537s
Received healthy response to inference request in 1.99216628074646s
Received healthy response to inference request in 2.4961721897125244s
Received healthy response to inference request in 1.6668205261230469s
Received healthy response to inference request in 2.0456929206848145s
5 requests
0 failed requests
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mean time: 2.21077618598938
Pipeline stage StressChecker completed in 12.33s
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Creating inference service trace2333-mistral-trail10-v1-profiler
Waiting for inference service trace2333-mistral-trail10-v1-profiler to be ready
Inference service trace2333-mistral-trail10-v1-profiler ready after 170.40299820899963s
Pipeline stage MKMLProfilerDeployer completed in 170.73s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-tr033ee5426f31bdefd3961eb2b91f6e6e-deplomqszk:/code/chaiverse_profiler_1726055483 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-tr033ee5426f31bdefd3961eb2b91f6e6e-deplomqszk --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726055483 && 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_1726055483/summary.json'
kubectl exec -it trace2333-mistral-tr033ee5426f31bdefd3961eb2b91f6e6e-deplomqszk --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726055483/summary.json'
Pipeline stage MKMLProfilerRunner completed in 945.86s
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Running pipeline stage MKMLProfilerDeleter
Checking if service trace2333-mistral-trail10-v1-profiler is running
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Service trace2333-mistral-trail10-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.73s
Shutdown handler de-registered
trace2333-mistral-trail10_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-trail10_v1 status is now torndown due to DeploymentManager action