submission_id: cycy233-l3-p-v4-c3_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1245.09
display_name: auto
family_friendly_score: 0.0
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: cycy233/L3-p-v4-c3
latencies: [{'batch_size': 1, 'throughput': 0.9005197318385635, 'latency_mean': 1.1104150390625, 'latency_p50': 1.116875171661377, 'latency_p90': 1.2456694841384888}, {'batch_size': 4, 'throughput': 1.7846092657626327, 'latency_mean': 2.231219346523285, 'latency_p50': 2.22730553150177, 'latency_p90': 2.4860114574432375}, {'batch_size': 5, 'throughput': 1.8507405613722356, 'latency_mean': 2.687387422323227, 'latency_p50': 2.691369414329529, 'latency_p90': 3.0076743364334106}, {'batch_size': 8, 'throughput': 1.9778932082419598, 'latency_mean': 4.015090655088425, 'latency_p50': 3.9828851222991943, 'latency_p90': 4.5185185194015505}, {'batch_size': 10, 'throughput': 1.984309526065179, 'latency_mean': 4.979380596876144, 'latency_p50': 4.951327443122864, 'latency_p90': 5.718584752082824}, {'batch_size': 12, 'throughput': 2.0078352605076404, 'latency_mean': 5.902548240423203, 'latency_p50': 5.910148024559021, 'latency_p90': 6.75609655380249}, {'batch_size': 15, 'throughput': 1.9948978406788913, 'latency_mean': 7.369940856695175, 'latency_p50': 7.536653399467468, 'latency_p90': 8.131272339820862}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v4-c3
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v4-c3
model_size: 8B
num_battles: 13486
num_wins: 6742
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.97
timestamp: 2024-09-13T02:20:21+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.49992584902862225
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v4-c3-v1-mkmlizer
Waiting for job on cycy233-l3-p-v4-c3-v1-mkmlizer to finish
cycy233-l3-p-v4-c3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v4-c3-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cycy233-l3-p-v4-c3-v1-mkmlizer: Downloaded to shared memory in 34.466s
cycy233-l3-p-v4-c3-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpedswqlzb, device:0
cycy233-l3-p-v4-c3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c3-v1-mkmlizer: quantized model in 25.802s
cycy233-l3-p-v4-c3-v1-mkmlizer: Processed model cycy233/L3-p-v4-c3 in 60.269s
cycy233-l3-p-v4-c3-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c3-v1
cycy233-l3-p-v4-c3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c3-v1/config.json
cycy233-l3-p-v4-c3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c3-v1/special_tokens_map.json
cycy233-l3-p-v4-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c3-v1/tokenizer_config.json
cycy233-l3-p-v4-c3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c3-v1/tokenizer.json
cycy233-l3-p-v4-c3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v4-c3-v1/flywheel_model.0.safetensors
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Job cycy233-l3-p-v4-c3-v1-mkmlizer completed after 83.22s with status: succeeded
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Received healthy response to inference request in 3.0458500385284424s
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Received healthy response to inference request in 2.225269317626953s
5 requests
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v4-c3-v1-profiler-predictor-00001-deployment-tb96x:/code/chaiverse_profiler_1726194536 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c3-v1-profiler-predictor-00001-deployment-tb96x --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726194536 && 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_1726194536/summary.json'
kubectl exec -it cycy233-l3-p-v4-c3-v1-profiler-predictor-00001-deployment-tb96x --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726194536/summary.json'
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