submission_id: cycy233-l3-p-v4-c2_v2
developer_uid: shiroe40
best_of: 16
celo_rating: 1248.77
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-c2
latencies: [{'batch_size': 1, 'throughput': 0.9093250471627231, 'latency_mean': 1.0996559822559357, 'latency_p50': 1.0971759557724, 'latency_p90': 1.223753809928894}, {'batch_size': 4, 'throughput': 1.7974931639034113, 'latency_mean': 2.2158111453056337, 'latency_p50': 2.2062342166900635, 'latency_p90': 2.481570506095886}, {'batch_size': 5, 'throughput': 1.9033668259411474, 'latency_mean': 2.6161681532859804, 'latency_p50': 2.6071763038635254, 'latency_p90': 2.9250736951828005}, {'batch_size': 8, 'throughput': 2.0252790441151713, 'latency_mean': 3.9243143260478974, 'latency_p50': 3.9407827854156494, 'latency_p90': 4.37947690486908}, {'batch_size': 10, 'throughput': 2.0552542748628286, 'latency_mean': 4.815507111549377, 'latency_p50': 4.792764902114868, 'latency_p90': 5.6048270702362055}, {'batch_size': 12, 'throughput': 2.048324246327655, 'latency_mean': 5.787768824100494, 'latency_p50': 5.806396842002869, 'latency_p90': 6.504469561576843}, {'batch_size': 15, 'throughput': 2.0700300982227433, 'latency_mean': 7.108118033409118, 'latency_p50': 7.170152187347412, 'latency_p90': 7.936805701255798}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-p-v4-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-p-v4-c2
model_size: 8B
num_battles: 11987
num_wins: 6058
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.02
timestamp: 2024-09-13T02:31:15+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.5053808292316676
Resubmit model
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Starting job with name cycy233-l3-p-v4-c2-v2-mkmlizer
Waiting for job on cycy233-l3-p-v4-c2-v2-mkmlizer to finish
cycy233-l3-p-v4-c2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v4-c2-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ║                                                                     ║
cycy233-l3-p-v4-c2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v4-c2-v2-mkmlizer: Downloaded to shared memory in 32.978s
cycy233-l3-p-v4-c2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqjgizy0d, device:0
cycy233-l3-p-v4-c2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v4-c2-v2-mkmlizer: quantized model in 25.573s
cycy233-l3-p-v4-c2-v2-mkmlizer: Processed model cycy233/L3-p-v4-c2 in 58.552s
cycy233-l3-p-v4-c2-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v4-c2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v4-c2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/config.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/special_tokens_map.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/tokenizer_config.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/tokenizer.json
cycy233-l3-p-v4-c2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v4-c2-v2/flywheel_model.0.safetensors
cycy233-l3-p-v4-c2-v2-mkmlizer: 
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Job cycy233-l3-p-v4-c2-v2-mkmlizer completed after 83.5s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v4-c2-v2-profiler-predictor-00001-deployment-ztwvn:/code/chaiverse_profiler_1726195185 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v4-c2-v2-profiler-predictor-00001-deployment-ztwvn --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726195185 && 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_1726195185/summary.json'
kubectl exec -it cycy233-l3-p-v4-c2-v2-profiler-predictor-00001-deployment-ztwvn --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726195185/summary.json'
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