submission_id: trace2333-mistral-trail8_v1
developer_uid: Trace2333
best_of: 8
celo_rating: 1247.3
display_name: trace2333-mistral-trail8_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_trail8
latencies: [{'batch_size': 1, 'throughput': 0.6935087601446155, 'latency_mean': 1.4418474531173706, 'latency_p50': 1.4431079626083374, 'latency_p90': 1.5989545106887817}, {'batch_size': 3, 'throughput': 1.3273178588792525, 'latency_mean': 2.2509295678138734, 'latency_p50': 2.249931573867798, 'latency_p90': 2.504807686805725}, {'batch_size': 5, 'throughput': 1.5617523254711232, 'latency_mean': 3.179959827661514, 'latency_p50': 3.193737268447876, 'latency_p90': 3.6332452058792115}, {'batch_size': 6, 'throughput': 1.6135465022567845, 'latency_mean': 3.698006418943405, 'latency_p50': 3.6983309984207153, 'latency_p90': 4.145900988578796}, {'batch_size': 8, 'throughput': 1.603226856104757, 'latency_mean': 4.963734716176987, 'latency_p50': 4.980026841163635, 'latency_p90': 5.6028172969818115}, {'batch_size': 10, 'throughput': 1.5411055092907846, 'latency_mean': 6.452961634397507, 'latency_p50': 6.571388602256775, 'latency_p90': 7.222757029533386}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Trace2333/mistral_trail8
model_name: trace2333-mistral-trail8_v1
model_num_parameters: 12772070400.0
model_repo: Trace2333/mistral_trail8
model_size: 13B
num_battles: 11607
num_wins: 6397
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.62
timestamp: 2024-09-10T08:47:23+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.5511329370207634
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Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name trace2333-mistral-trail8-v1-mkmlizer
Waiting for job on trace2333-mistral-trail8-v1-mkmlizer to finish
trace2333-mistral-trail8-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-mistral-trail8-v1-mkmlizer: ║ _____ __ __ ║
trace2333-mistral-trail8-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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trace2333-mistral-trail8-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-mistral-trail8-v1-mkmlizer: ║ /___/ ║
trace2333-mistral-trail8-v1-mkmlizer: ║ ║
trace2333-mistral-trail8-v1-mkmlizer: ║ Version: 0.10.1 ║
trace2333-mistral-trail8-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-mistral-trail8-v1-mkmlizer: ║ https://mk1.ai ║
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trace2333-mistral-trail8-v1-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-mistral-trail8-v1-mkmlizer: ║ belonging to: ║
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trace2333-mistral-trail8-v1-mkmlizer: ║ Chai Research Corp. ║
trace2333-mistral-trail8-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-mistral-trail8-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-mistral-trail8-v1-mkmlizer: ║ ║
trace2333-mistral-trail8-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-mistral-trail8-v1-mkmlizer: Downloaded to shared memory in 41.031s
trace2333-mistral-trail8-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdmufskn_, device:0
trace2333-mistral-trail8-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-mistral-trail8-v1-mkmlizer: quantized model in 36.745s
trace2333-mistral-trail8-v1-mkmlizer: Processed model Trace2333/mistral_trail8 in 77.777s
trace2333-mistral-trail8-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-mistral-trail8-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-mistral-trail8-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-mistral-trail8-v1
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/config.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/special_tokens_map.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/tokenizer_config.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/tokenizer.json
trace2333-mistral-trail8-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-mistral-trail8-v1/flywheel_model.0.safetensors
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Job trace2333-mistral-trail8-v1-mkmlizer completed after 105.04s with status: succeeded
Stopping job with name trace2333-mistral-trail8-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.39s
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Creating inference service trace2333-mistral-trail8-v1
Waiting for inference service trace2333-mistral-trail8-v1 to be ready
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Inference service trace2333-mistral-trail8-v1 ready after 161.5182158946991s
Pipeline stage MKMLDeployer completed in 162.29s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.730696678161621s
Received healthy response to inference request in 2.752734899520874s
Received healthy response to inference request in 2.750298023223877s
Received healthy response to inference request in 2.718851327896118s
Received healthy response to inference request in 2.1431665420532227s
5 requests
0 failed requests
5th percentile: 2.258303499221802
10th percentile: 2.373440456390381
20th percentile: 2.603714370727539
30th percentile: 2.7212203979492187
40th percentile: 2.72595853805542
50th percentile: 2.730696678161621
60th percentile: 2.7385372161865233
70th percentile: 2.7463777542114256
80th percentile: 2.750785398483276
90th percentile: 2.751760149002075
95th percentile: 2.752247524261475
99th percentile: 2.752637424468994
mean time: 2.6191494941711424
Pipeline stage StressChecker completed in 14.05s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 7.49s
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Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Creating inference service trace2333-mistral-trail8-v1-profiler
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Inference service trace2333-mistral-trail8-v1-profiler ready after 160.42697930335999s
Pipeline stage MKMLProfilerDeployer completed in 161.09s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/trace2333-mistral-trail8-v1-profiler-predictor-00001-deplotbnfc:/code/chaiverse_profiler_1725958534 --namespace tenant-chaiml-guanaco
kubectl exec -it trace2333-mistral-trail8-v1-profiler-predictor-00001-deplotbnfc --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725958534 && 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_1725958534/summary.json'
kubectl exec -it trace2333-mistral-trail8-v1-profiler-predictor-00001-deplotbnfc --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725958534/summary.json'
Pipeline stage MKMLProfilerRunner completed in 951.30s
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Pipeline stage MKMLProfilerDeleter completed in 1.68s
Shutdown handler de-registered
trace2333-mistral-trail8_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-mistral-trail8_v1 status is now torndown due to DeploymentManager action