submission_id: jic062-instruct-v14-v15_v5
developer_uid: chace9580
best_of: 16
celo_rating: 1244.46
display_name: jic062-instruct-v14-v15_v5
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': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_of_text|>', '|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: jic062/instruct_v14_v15
latencies: [{'batch_size': 1, 'throughput': 0.8994932143442248, 'latency_mean': 1.1116758275032044, 'latency_p50': 1.1186515092849731, 'latency_p90': 1.2284764289855956}, {'batch_size': 3, 'throughput': 1.600027328957998, 'latency_mean': 1.8735782754421235, 'latency_p50': 1.8842507600784302, 'latency_p90': 2.0609854459762573}, {'batch_size': 5, 'throughput': 1.7582448206921377, 'latency_mean': 2.834015454053879, 'latency_p50': 2.8357573747634888, 'latency_p90': 3.2169594049453734}, {'batch_size': 6, 'throughput': 1.7537561760336173, 'latency_mean': 3.407741417884827, 'latency_p50': 3.4134252071380615, 'latency_p90': 3.847043490409851}, {'batch_size': 8, 'throughput': 1.7414010671536202, 'latency_mean': 4.55832869052887, 'latency_p50': 4.545124053955078, 'latency_p90': 5.116367959976197}, {'batch_size': 10, 'throughput': 1.765101543352641, 'latency_mean': 5.607985202074051, 'latency_p50': 5.595300793647766, 'latency_p90': 6.4878675699234005}]
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: jic062/instruct_v14_v15
model_name: jic062-instruct-v14-v15_v5
model_num_parameters: 8030261248.0
model_repo: jic062/instruct_v14_v15
model_size: 8B
num_battles: 10794
num_wins: 5330
ranking_group: single
status: torndown
submission_type: basic
throughput_3p7s: 1.76
timestamp: 2024-09-15T05:01:17+00:00
us_pacific_date: 2024-09-14
win_ratio: 0.493792847878451
Resubmit model
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jic062-instruct-v14-v15-v5-mkmlizer: ║     _____            __           __                                ║
jic062-instruct-v14-v15-v5-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
jic062-instruct-v14-v15-v5-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
jic062-instruct-v14-v15-v5-mkmlizer: ║       /___/                                                         ║
jic062-instruct-v14-v15-v5-mkmlizer: ║                                                                     ║
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jic062-instruct-v14-v15-v5-mkmlizer: ║  Version: 0.10.1                                                    ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  https://mk1.ai                                                     ║
jic062-instruct-v14-v15-v5-mkmlizer: ║                                                                     ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  belonging to:                                                      ║
jic062-instruct-v14-v15-v5-mkmlizer: ║                                                                     ║
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jic062-instruct-v14-v15-v5-mkmlizer: ║  Chai Research Corp.                                                ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
jic062-instruct-v14-v15-v5-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
jic062-instruct-v14-v15-v5-mkmlizer: ║                                                                     ║
jic062-instruct-v14-v15-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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jic062-instruct-v14-v15-v5-mkmlizer: Downloaded to shared memory in 36.507s
jic062-instruct-v14-v15-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkke8tszr, device:0
jic062-instruct-v14-v15-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
jic062-instruct-v14-v15-v5-mkmlizer: quantized model in 25.995s
jic062-instruct-v14-v15-v5-mkmlizer: Processed model jic062/instruct_v14_v15 in 62.503s
jic062-instruct-v14-v15-v5-mkmlizer: creating bucket guanaco-mkml-models
jic062-instruct-v14-v15-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
jic062-instruct-v14-v15-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/jic062-instruct-v14-v15-v5
jic062-instruct-v14-v15-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/jic062-instruct-v14-v15-v5/special_tokens_map.json
jic062-instruct-v14-v15-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/jic062-instruct-v14-v15-v5/config.json
jic062-instruct-v14-v15-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/jic062-instruct-v14-v15-v5/tokenizer_config.json
jic062-instruct-v14-v15-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/jic062-instruct-v14-v15-v5/tokenizer.json
jic062-instruct-v14-v15-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/jic062-instruct-v14-v15-v5/flywheel_model.0.safetensors
jic062-instruct-v14-v15-v5-mkmlizer: 
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Job jic062-instruct-v14-v15-v5-mkmlizer completed after 85.64s with status: succeeded
Stopping job with name jic062-instruct-v14-v15-v5-mkmlizer
Pipeline stage MKMLizer completed in 86.65s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.08s
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Running pipeline stage MKMLDeployer
Creating inference service jic062-instruct-v14-v15-v5
Waiting for inference service jic062-instruct-v14-v15-v5 to be ready
Failed to get response for submission blend_sanen_2024-09-09: ('http://rica40325-lora32-third-step-v4-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:59774->127.0.0.1:8080: read: connection reset by peer\n')
Inference service jic062-instruct-v14-v15-v5 ready after 160.5797574520111s
Pipeline stage MKMLDeployer completed in 162.66s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.106239080429077s
Received healthy response to inference request in 2.7862703800201416s
Received healthy response to inference request in 2.0209767818450928s
Received healthy response to inference request in 1.726043462753296s
Received healthy response to inference request in 2.88433575630188s
5 requests
0 failed requests
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50th percentile: 2.106239080429077
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90th percentile: 2.8451096057891845
95th percentile: 2.8647226810455324
99th percentile: 2.88041314125061
mean time: 2.3047730922698975
Pipeline stage StressChecker completed in 15.63s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 5.99s
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Pipeline stage MKMLProfilerTemplater completed in 0.15s
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Creating inference service jic062-instruct-v14-v15-v5-profiler
Waiting for inference service jic062-instruct-v14-v15-v5-profiler to be ready
Inference service jic062-instruct-v14-v15-v5-profiler ready after 170.41042733192444s
Pipeline stage MKMLProfilerDeployer completed in 170.83s
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Running pipeline stage MKMLProfilerRunner
kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/jic062-instruct-v14-v15-v5-profiler-predictor-00001-deployxmwkd:/code/chaiverse_profiler_1726376959 --namespace tenant-chaiml-guanaco
kubectl exec -it jic062-instruct-v14-v15-v5-profiler-predictor-00001-deployxmwkd --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726376959 && 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_1726376959/summary.json'
kubectl exec -it jic062-instruct-v14-v15-v5-profiler-predictor-00001-deployxmwkd --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726376959/summary.json'
Pipeline stage MKMLProfilerRunner completed in 809.30s
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Running pipeline stage MKMLProfilerDeleter
Checking if service jic062-instruct-v14-v15-v5-profiler is running
Tearing down inference service jic062-instruct-v14-v15-v5-profiler
Service jic062-instruct-v14-v15-v5-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.81s
Shutdown handler de-registered
jic062-instruct-v14-v15_v5 status is now inactive due to auto deactivation removed underperforming models
jic062-instruct-v14-v15_v5 status is now torndown due to DeploymentManager action