developer_uid: rinen0721
submission_id: rinen0721-llama0911_v1
model_name: rinen0721-llama0911_v1
model_group: rinen0721/llama0911
status: torndown
timestamp: 2024-09-11T06:10:07+00:00
num_battles: 13129
num_wins: 6068
celo_rating: 1216.03
family_friendly_score: 0.0
submission_type: basic
model_repo: rinen0721/llama0911
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.9058676771774427, 'latency_mean': 1.103851535320282, 'latency_p50': 1.110918402671814, 'latency_p90': 1.228943157196045}, {'batch_size': 4, 'throughput': 1.8145394141882998, 'latency_mean': 2.1938546538352965, 'latency_p50': 2.18815279006958, 'latency_p90': 2.4525532722473145}, {'batch_size': 5, 'throughput': 1.8788522063711144, 'latency_mean': 2.6514797973632813, 'latency_p50': 2.6320995092391968, 'latency_p90': 2.9604772567749023}, {'batch_size': 8, 'throughput': 2.005074770901256, 'latency_mean': 3.9566921377182007, 'latency_p50': 3.930914282798767, 'latency_p90': 4.546098971366882}, {'batch_size': 10, 'throughput': 2.0590501823575535, 'latency_mean': 4.811527523994446, 'latency_p50': 4.841981053352356, 'latency_p90': 5.50054018497467}, {'batch_size': 12, 'throughput': 2.039713107765649, 'latency_mean': 5.800738557577133, 'latency_p50': 5.770959973335266, 'latency_p90': 6.7109929561614985}, {'batch_size': 15, 'throughput': 2.0309648951856203, 'latency_mean': 7.245573513507843, 'latency_p50': 7.3604536056518555, 'latency_p90': 8.12281653881073}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rinen0721-llama0911_v1
is_internal_developer: False
language_model: rinen0721/llama0911
model_size: 8B
ranking_group: single
throughput_3p7s: 2.0
us_pacific_date: 2024-09-10
win_ratio: 0.46218295376647117
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
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}
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 rinen0721-llama0911-v1-mkmlizer
Waiting for job on rinen0721-llama0911-v1-mkmlizer to finish
rinen0721-llama0911-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
rinen0721-llama0911-v1-mkmlizer: ║ _____ __ __ ║
rinen0721-llama0911-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
rinen0721-llama0911-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
rinen0721-llama0911-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
rinen0721-llama0911-v1-mkmlizer: ║ /___/ ║
rinen0721-llama0911-v1-mkmlizer: ║ ║
rinen0721-llama0911-v1-mkmlizer: ║ Version: 0.10.1 ║
rinen0721-llama0911-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
rinen0721-llama0911-v1-mkmlizer: ║ https://mk1.ai ║
rinen0721-llama0911-v1-mkmlizer: ║ ║
rinen0721-llama0911-v1-mkmlizer: ║ The license key for the current software has been verified as ║
rinen0721-llama0911-v1-mkmlizer: ║ belonging to: ║
rinen0721-llama0911-v1-mkmlizer: ║ ║
rinen0721-llama0911-v1-mkmlizer: ║ Chai Research Corp. ║
rinen0721-llama0911-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
rinen0721-llama0911-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
rinen0721-llama0911-v1-mkmlizer: ║ ║
rinen0721-llama0911-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rinen0721-llama0911-v1-mkmlizer: Downloaded to shared memory in 34.984s
rinen0721-llama0911-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmppq7v_als, device:0
rinen0721-llama0911-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rinen0721-llama0911-v1-mkmlizer: quantized model in 25.687s
rinen0721-llama0911-v1-mkmlizer: Processed model rinen0721/llama0911 in 60.671s
rinen0721-llama0911-v1-mkmlizer: creating bucket guanaco-mkml-models
rinen0721-llama0911-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rinen0721-llama0911-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rinen0721-llama0911-v1
rinen0721-llama0911-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rinen0721-llama0911-v1/config.json
rinen0721-llama0911-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rinen0721-llama0911-v1/special_tokens_map.json
rinen0721-llama0911-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rinen0721-llama0911-v1/tokenizer_config.json
rinen0721-llama0911-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rinen0721-llama0911-v1/tokenizer.json
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Job rinen0721-llama0911-v1-mkmlizer completed after 87.92s with status: succeeded
Stopping job with name rinen0721-llama0911-v1-mkmlizer
Pipeline stage MKMLizer completed in 89.14s
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Creating inference service rinen0721-llama0911-v1
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Inference service rinen0721-llama0911-v1 ready after 161.1046769618988s
Pipeline stage MKMLDeployer completed in 162.19s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.1496355533599854s
Received healthy response to inference request in 1.61346435546875s
Received healthy response to inference request in 1.9532485008239746s
Received healthy response to inference request in 1.5158395767211914s
Received healthy response to inference request in 1.5429680347442627s
5 requests
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90th percentile: 2.071080732345581
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mean time: 1.755031204223633
Pipeline stage StressChecker completed in 9.49s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.60s
Shutdown handler de-registered
rinen0721-llama0911_v1 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 rinen0721-llama0911-v1-profiler
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Inference service rinen0721-llama0911-v1-profiler ready after 160.38534474372864s
Pipeline stage MKMLProfilerDeployer completed in 160.74s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/rinen0721-llama0911-v1-profiler-predictor-00001-deploymentqmcdt:/code/chaiverse_profiler_1726035482 --namespace tenant-chaiml-guanaco
kubectl exec -it rinen0721-llama0911-v1-profiler-predictor-00001-deploymentqmcdt --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726035482 && python profiles.py profile --best_of_n 16 --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_1726035482/summary.json'
kubectl exec -it rinen0721-llama0911-v1-profiler-predictor-00001-deploymentqmcdt --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726035482/summary.json'
Pipeline stage MKMLProfilerRunner completed in 837.12s
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Running pipeline stage MKMLProfilerDeleter
Checking if service rinen0721-llama0911-v1-profiler is running
Tearing down inference service rinen0721-llama0911-v1-profiler
Service rinen0721-llama0911-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.72s
Shutdown handler de-registered
rinen0721-llama0911_v1 status is now inactive due to auto deactivation removed underperforming models
rinen0721-llama0911_v1 status is now torndown due to DeploymentManager action