submission_id: rinen0721-llama0911_v1
developer_uid: rinen0721
alignment_samples: 13130
alignment_score: -0.6586413763785934
best_of: 16
celo_rating: 1215.85
display_name: rinen0721-llama0911_v1
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': 0.0, '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}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: rinen0721/llama0911
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}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: rinen0721/llama0911
model_name: rinen0721-llama0911_v1
model_num_parameters: 8030261248.0
model_repo: rinen0721/llama0911
model_size: 8B
num_battles: 13129
num_wins: 6068
propriety_score: 0.7207285342584562
propriety_total_count: 1153.0
ranking_group: single
status: inactive
submission_type: basic
throughput_3p7s: 2.0
timestamp: 2024-09-11T06:10:07+00:00
us_pacific_date: 2024-09-10
win_ratio: 0.46218295376647117
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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 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
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Inference service rinen0721-llama0911-v1 ready after 161.1046769618988s
Pipeline stage MKMLDeployer completed in 162.19s
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Received healthy response to inference request in 2.1496355533599854s
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Received healthy response to inference request in 1.5158395767211914s
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Inference service rinen0721-llama0911-v1-profiler ready after 160.38534474372864s
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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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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