submission_id: arlineka-pharaoh-8b_v3
developer_uid: asmog
best_of: 16
celo_rating: 1235.03
display_name: arlineka-pharaoh-8b_v1
family_friendly_score: 0.0
formatter: {'memory_template': "<|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': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\\User'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: arlineka/pharaoh-8b
latencies: [{'batch_size': 1, 'throughput': 0.9077301130216947, 'latency_mean': 1.101589745283127, 'latency_p50': 1.109457015991211, 'latency_p90': 1.2362771034240723}, {'batch_size': 4, 'throughput': 1.801573919416302, 'latency_mean': 2.204148496389389, 'latency_p50': 2.205120325088501, 'latency_p90': 2.451312446594238}, {'batch_size': 5, 'throughput': 1.8795678795872788, 'latency_mean': 2.64313752412796, 'latency_p50': 2.647327184677124, 'latency_p90': 2.9330997228622437}, {'batch_size': 8, 'throughput': 2.0158860299687946, 'latency_mean': 3.93712696313858, 'latency_p50': 3.9446202516555786, 'latency_p90': 4.421113848686218}, {'batch_size': 10, 'throughput': 2.04820359023675, 'latency_mean': 4.8293046581745145, 'latency_p50': 4.792124271392822, 'latency_p90': 5.562740063667297}, {'batch_size': 12, 'throughput': 2.0240751647073125, 'latency_mean': 5.846352944374084, 'latency_p50': 5.875734329223633, 'latency_p90': 6.8320306777954105}, {'batch_size': 15, 'throughput': 2.025325012976665, 'latency_mean': 7.2589801561832425, 'latency_p50': 7.350839257240295, 'latency_p90': 8.081198263168336}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: arlineka/pharaoh-8b
model_name: arlineka-pharaoh-8b_v1
model_num_parameters: 8030277632.0
model_repo: arlineka/pharaoh-8b
model_size: 8B
num_battles: 10180
num_wins: 4952
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.01
timestamp: 2024-09-12T13:38:54+00:00
us_pacific_date: 2024-09-12
win_ratio: 0.4864440078585462
Resubmit model
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run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name arlineka-pharaoh-8b-v3-mkmlizer
Waiting for job on arlineka-pharaoh-8b-v3-mkmlizer to finish
arlineka-pharaoh-8b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
arlineka-pharaoh-8b-v3-mkmlizer: ║ _____ __ __ ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ /___/ ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ Version: 0.10.1 ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ https://mk1.ai ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ The license key for the current software has been verified as ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ belonging to: ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ Chai Research Corp. ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
arlineka-pharaoh-8b-v3-mkmlizer: ║ ║
arlineka-pharaoh-8b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
arlineka-pharaoh-8b-v3-mkmlizer: Downloaded to shared memory in 36.027s
arlineka-pharaoh-8b-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpv51y6gl9, device:0
arlineka-pharaoh-8b-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
arlineka-pharaoh-8b-v3-mkmlizer: quantized model in 25.690s
arlineka-pharaoh-8b-v3-mkmlizer: Processed model arlineka/pharaoh-8b in 61.717s
arlineka-pharaoh-8b-v3-mkmlizer: creating bucket guanaco-mkml-models
arlineka-pharaoh-8b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
arlineka-pharaoh-8b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/arlineka-pharaoh-8b-v3
arlineka-pharaoh-8b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/arlineka-pharaoh-8b-v3/config.json
arlineka-pharaoh-8b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/arlineka-pharaoh-8b-v3/special_tokens_map.json
arlineka-pharaoh-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/arlineka-pharaoh-8b-v3/tokenizer_config.json
arlineka-pharaoh-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/arlineka-pharaoh-8b-v3/tokenizer.json
arlineka-pharaoh-8b-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/arlineka-pharaoh-8b-v3/flywheel_model.0.safetensors
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Job arlineka-pharaoh-8b-v3-mkmlizer completed after 84.12s with status: succeeded
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Inference service arlineka-pharaoh-8b-v3 ready after 170.48110461235046s
Pipeline stage MKMLDeployer completed in 170.86s
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Received healthy response to inference request in 2.2365658283233643s
Received healthy response to inference request in 1.7131381034851074s
Received healthy response to inference request in 1.6105475425720215s
Received healthy response to inference request in 1.5888736248016357s
Received healthy response to inference request in 4.075412273406982s
5 requests
0 failed requests
5th percentile: 1.593208408355713
10th percentile: 1.59754319190979
20th percentile: 1.6062127590179442
30th percentile: 1.6310656547546387
40th percentile: 1.672101879119873
50th percentile: 1.7131381034851074
60th percentile: 1.9225091934204102
70th percentile: 2.131880283355713
80th percentile: 2.604335117340088
90th percentile: 3.3398736953735355
95th percentile: 3.7076429843902585
99th percentile: 4.001858415603637
mean time: 2.2449074745178224
Pipeline stage StressChecker completed in 11.91s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/arlineka-pharaoh-8b-v3-profiler-predictor-00001-deploymentrmhr4:/code/chaiverse_profiler_1726148832 --namespace tenant-chaiml-guanaco
kubectl exec -it arlineka-pharaoh-8b-v3-profiler-predictor-00001-deploymentrmhr4 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726148832 && 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_1726148832/summary.json'
kubectl exec -it arlineka-pharaoh-8b-v3-profiler-predictor-00001-deploymentrmhr4 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726148832/summary.json'
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Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Tearing down inference service chaiml-0916-intent-suppo-6584-v1
Deleting key azuruce-chaiml-stf-horror-v1/config.json from bucket guanaco-mkml-models
Deleting key akjindal53244-llama-3-1-2851-v1/config.json from bucket guanaco-mkml-models
Deleting key arcee-ai-llama-3-1-super-4127-v1/config.json from bucket guanaco-mkml-models
Deleting key arlineka-pharaoh-8b-v3/config.json from bucket guanaco-mkml-models
Deleting key bbchicago-brt-8b-l3-v1-9-2176-v3/config.json from bucket guanaco-mkml-models
admin requested tearing down of akjindal53244-llama-3-1-_2851_v1
admin requested tearing down of akjindal53244-llama-3-1-_2851_v1
admin requested tearing down of chaiml-0916-intent-roman_3299_v3