submission_id: sao10k-hina-1_v1
developer_uid: sao10k
best_of: 8
celo_rating: 1237.24
display_name: Hina1
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': 1.2, 'top_p': 1.0, 'min_p': 0.2, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '<|eot_id|>', '\n\n{user_name}', '\nYou:', '<|end_header_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
gpu_counts: {'NVIDIA RTX A5000': 1}
is_internal_developer: False
language_model: Sao10K/Hina-1
latencies: [{'batch_size': 1, 'throughput': 0.86914723852222, 'latency_mean': 1.1504905104637146, 'latency_p50': 1.14077627658844, 'latency_p90': 1.2704403162002562}, {'batch_size': 4, 'throughput': 1.8162224367409112, 'latency_mean': 2.1902089738845825, 'latency_p50': 2.1900335550308228, 'latency_p90': 2.4000712633132935}, {'batch_size': 5, 'throughput': 1.9647713732367216, 'latency_mean': 2.535273655653, 'latency_p50': 2.5306466817855835, 'latency_p90': 2.860601878166199}, {'batch_size': 8, 'throughput': 2.1267917514440935, 'latency_mean': 3.735635291337967, 'latency_p50': 3.752841591835022, 'latency_p90': 4.1572837114334105}, {'batch_size': 10, 'throughput': 2.148239987961099, 'latency_mean': 4.6163728129863735, 'latency_p50': 4.607988357543945, 'latency_p90': 5.154895257949829}, {'batch_size': 12, 'throughput': 2.1840315293391392, 'latency_mean': 5.446751741170883, 'latency_p50': 5.4524245262146, 'latency_p90': 6.116923713684082}, {'batch_size': 15, 'throughput': 2.1493874288822568, 'latency_mean': 6.900958112478256, 'latency_p50': 6.955800533294678, 'latency_p90': 7.647743368148804}]
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Sao10K/Hina-1
model_name: Hina1
model_num_parameters: 8030261248.0
model_repo: Sao10K/Hina-1
model_size: 8B
num_battles: 13299
num_wins: 6552
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 2.14
timestamp: 2024-09-06T21:52:47+00:00
us_pacific_date: 2024-09-06
win_ratio: 0.49266862170087977
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
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Running pipeline stage MKMLizer
Starting job with name sao10k-hina-1-v1-mkmlizer
Waiting for job on sao10k-hina-1-v1-mkmlizer to finish
sao10k-hina-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-hina-1-v1-mkmlizer: ║ _____ __ __ ║
sao10k-hina-1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-hina-1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-hina-1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-hina-1-v1-mkmlizer: ║ /___/ ║
sao10k-hina-1-v1-mkmlizer: ║ ║
sao10k-hina-1-v1-mkmlizer: ║ Version: 0.10.1 ║
sao10k-hina-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-hina-1-v1-mkmlizer: ║ https://mk1.ai ║
sao10k-hina-1-v1-mkmlizer: ║ ║
sao10k-hina-1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-hina-1-v1-mkmlizer: ║ belonging to: ║
sao10k-hina-1-v1-mkmlizer: ║ ║
sao10k-hina-1-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-hina-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-hina-1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
sao10k-hina-1-v1-mkmlizer: ║ ║
sao10k-hina-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission neversleep-noromaid-v0_8068_v150: ('http://neversleep-noromaid-v0-8068-v150-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:60134->127.0.0.1:8080: read: connection reset by peer\n')
sao10k-hina-1-v1-mkmlizer: Downloaded to shared memory in 28.626s
sao10k-hina-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8k8wulbs, device:0
sao10k-hina-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-hina-1-v1-mkmlizer: quantized model in 25.717s
sao10k-hina-1-v1-mkmlizer: Processed model Sao10K/Hina-1 in 54.344s
sao10k-hina-1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-hina-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-hina-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-hina-1-v1
sao10k-hina-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-hina-1-v1/config.json
sao10k-hina-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-hina-1-v1/special_tokens_map.json
sao10k-hina-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-hina-1-v1/tokenizer_config.json
sao10k-hina-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-hina-1-v1/tokenizer.json
sao10k-hina-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-hina-1-v1/flywheel_model.0.safetensors
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Job sao10k-hina-1-v1-mkmlizer completed after 73.78s with status: succeeded
Stopping job with name sao10k-hina-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 74.57s
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Creating inference service sao10k-hina-1-v1
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Inference service sao10k-hina-1-v1 ready after 151.24511075019836s
Pipeline stage MKMLDeployer completed in 151.65s
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Received healthy response to inference request in 2.405804395675659s
Received healthy response to inference request in 1.834975242614746s
Received healthy response to inference request in 1.6545298099517822s
Received healthy response to inference request in 1.4938075542449951s
Received healthy response to inference request in 2.1337766647338867s
5 requests
0 failed requests
5th percentile: 1.5259520053863525
10th percentile: 1.55809645652771
20th percentile: 1.622385358810425
30th percentile: 1.690618896484375
40th percentile: 1.7627970695495605
50th percentile: 1.834975242614746
60th percentile: 1.9544958114624023
70th percentile: 2.0740163803100584
80th percentile: 2.1881822109222413
90th percentile: 2.29699330329895
95th percentile: 2.3513988494873046
99th percentile: 2.3949232864379884
mean time: 1.904578733444214
Pipeline stage StressChecker completed in 10.79s
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Inference service sao10k-hina-1-v1-profiler ready after 150.36594104766846s
Pipeline stage MKMLProfilerDeployer completed in 150.72s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/sao10k-hina-1-v1-profiler-predictor-00001-deployment-7d8b5ktxff:/code/chaiverse_profiler_1725659996 --namespace tenant-chaiml-guanaco
kubectl exec -it sao10k-hina-1-v1-profiler-predictor-00001-deployment-7d8b5ktxff --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1725659996 && python profiles.py profile --best_of_n 8 --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 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1725659996/summary.json'
kubectl exec -it sao10k-hina-1-v1-profiler-predictor-00001-deployment-7d8b5ktxff --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1725659996/summary.json'
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