cycy233-l3-p-v1-c4

submission_id: cycy233-l3-p-v1-c4_v1

developer_uid: shiroe40

best_of: 16

celo_rating: 1255.46

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-v1-c4

latencies: [{'batch_size': 1, 'throughput': 0.8999603240457869, 'latency_mean': 1.1110937345027923, 'latency_p50': 1.124469518661499, 'latency_p90': 1.2322253704071044}, {'batch_size': 4, 'throughput': 1.7980640296536456, 'latency_mean': 2.2167507660388948, 'latency_p50': 2.223546862602234, 'latency_p90': 2.481722187995911}, {'batch_size': 5, 'throughput': 1.8844079444717539, 'latency_mean': 2.6437380361557006, 'latency_p50': 2.622496008872986, 'latency_p90': 2.9454896688461303}, {'batch_size': 8, 'throughput': 2.000995568650382, 'latency_mean': 3.9738320899009705, 'latency_p50': 4.026252031326294, 'latency_p90': 4.500487518310547}, {'batch_size': 10, 'throughput': 2.029597153052243, 'latency_mean': 4.883272210359573, 'latency_p50': 4.881932258605957, 'latency_p90': 5.723604393005371}, {'batch_size': 12, 'throughput': 2.033177338032037, 'latency_mean': 5.816126766204834, 'latency_p50': 5.805496454238892, 'latency_p90': 6.736151576042175}, {'batch_size': 15, 'throughput': 2.043013670005117, 'latency_mean': 7.203268933296203, 'latency_p50': 7.303053259849548, 'latency_p90': 8.10137152671814}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: cycy233/L3-p-v1-c4

model_name: auto

model_num_parameters: 8030261248.0

model_repo: cycy233/L3-p-v1-c4

model_size: 8B

num_battles: 11304

num_wins: 5815

ranking_group: single

status: torndown

submission_type: basic

throughput_3p7s: 2.0

timestamp: 2024-09-09T03:23:11+00:00

us_pacific_date: 2024-09-08

win_ratio: 0.5144196744515216

Resubmit model

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Starting job with name cycy233-l3-p-v1-c4-v1-mkmlizer
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cycy233-l3-p-v1-c4-v1-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v1-c4-v1-mkmlizer: Downloaded to shared memory in 36.029s
cycy233-l3-p-v1-c4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9znn7s8m, device:0
cycy233-l3-p-v1-c4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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cycy233-l3-p-v1-c4-v1-mkmlizer: quantized model in 25.801s
cycy233-l3-p-v1-c4-v1-mkmlizer: Processed model cycy233/L3-p-v1-c4 in 61.830s
cycy233-l3-p-v1-c4-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/config.json
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/special_tokens_map.json
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/tokenizer_config.json
cycy233-l3-p-v1-c4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v1/flywheel_model.0.safetensors
cycy233-l3-p-v1-c4-v1-mkmlizer: 
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Job cycy233-l3-p-v1-c4-v1-mkmlizer completed after 84.04s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c4-v1-profiler-predictor-00001-deployment-lfxvj:/code/chaiverse_profiler_1725852635 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c4-v1-profiler-predictor-00001-deployment-lfxvj --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725852635 && 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_1725852635/summary.json'
kubectl exec -it cycy233-l3-p-v1-c4-v1-profiler-predictor-00001-deployment-lfxvj --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725852635/summary.json'
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