developer_uid: shiroe40
submission_id: cycy233-l3-p-v1-c4_v3
model_name: auto
model_group: cycy233/L3-p-v1-c4
status: torndown
timestamp: 2024-09-10T10:19:57+00:00
num_battles: 11833
num_wins: 5868
celo_rating: 1228.36
family_friendly_score: 0.0
submission_type: basic
model_repo: cycy233/L3-p-v1-c4
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 1.0231328087676117, 'latency_mean': 0.9773284709453582, 'latency_p50': 0.971118688583374, 'latency_p90': 1.0945472717285156}, {'batch_size': 5, 'throughput': 3.0661866231981048, 'latency_mean': 1.6201731979846954, 'latency_p50': 1.627906322479248, 'latency_p90': 1.798301339149475}, {'batch_size': 10, 'throughput': 4.183002239060439, 'latency_mean': 2.369147003889084, 'latency_p50': 2.367402195930481, 'latency_p90': 2.6587594032287596}, {'batch_size': 15, 'throughput': 4.598835052806402, 'latency_mean': 3.2104713320732117, 'latency_p50': 3.1761468648910522, 'latency_p90': 3.682664108276367}, {'batch_size': 20, 'throughput': 4.8016917673205395, 'latency_mean': 4.101444087028503, 'latency_p50': 4.060888767242432, 'latency_p90': 4.723847723007202}, {'batch_size': 25, 'throughput': 4.898886297200419, 'latency_mean': 5.000938625335693, 'latency_p50': 5.007876038551331, 'latency_p90': 5.722132134437561}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: auto
is_internal_developer: False
language_model: cycy233/L3-p-v1-c4
model_size: 8B
ranking_group: single
throughput_3p7s: 4.8
us_pacific_date: 2024-09-10
win_ratio: 0.49590129299416885
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': 4, 'max_output_tokens': 64}
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}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name cycy233-l3-p-v1-c4-v3-mkmlizer
Waiting for job on cycy233-l3-p-v1-c4-v3-mkmlizer to finish
cycy233-l3-p-v1-c4-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-p-v1-c4-v3-mkmlizer: ║     _____            __           __                                ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║       /___/                                                         ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  Version: 0.10.1                                                    ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  belonging to:                                                      ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ║                                                                     ║
cycy233-l3-p-v1-c4-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-p-v1-c4-v3-mkmlizer: Downloaded to shared memory in 20.034s
cycy233-l3-p-v1-c4-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpqbvrttte, device:0
cycy233-l3-p-v1-c4-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-p-v1-c4-v3-mkmlizer: quantized model in 25.779s
cycy233-l3-p-v1-c4-v3-mkmlizer: Processed model cycy233/L3-p-v1-c4 in 45.813s
cycy233-l3-p-v1-c4-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-p-v1-c4-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-p-v1-c4-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/config.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/special_tokens_map.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/tokenizer_config.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/tokenizer.json
cycy233-l3-p-v1-c4-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-p-v1-c4-v3/flywheel_model.0.safetensors
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Job cycy233-l3-p-v1-c4-v3-mkmlizer completed after 62.83s with status: succeeded
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Received healthy response to inference request in 1.7728474140167236s
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Received healthy response to inference request in 1.602330207824707s
5 requests
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5th percentile: 1.6364336490631104
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/cycy233-l3-p-v1-c4-v3-profiler-predictor-00001-deployment-chrm8:/code/chaiverse_profiler_1725964038 --namespace tenant-chaiml-guanaco
kubectl exec -it cycy233-l3-p-v1-c4-v3-profiler-predictor-00001-deployment-chrm8 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725964038 && python profiles.py profile --best_of_n 4 --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_1725964038/summary.json'
kubectl exec -it cycy233-l3-p-v1-c4-v3-profiler-predictor-00001-deployment-chrm8 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725964038/summary.json'
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