riverise-0910-2005-sft

submission_id: riverise-0910-2005-sft_v4

developer_uid: Riverise

alignment_samples: 9555

alignment_score: 0.375102172062639

best_of: 16

celo_rating: 1253.06

display_name: riverise-0910-2005-sft_v1

formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}

generation_params: {'temperature': 1.15, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}

gpu_counts: {'NVIDIA RTX A5000': 1}

is_internal_developer: False

language_model: Riverise/0910_2005_sft

latencies: [{'batch_size': 1, 'throughput': 0.9146686691850042, 'latency_mean': 1.0931864202022552, 'latency_p50': 1.0899325609207153, 'latency_p90': 1.2333074808120728}, {'batch_size': 4, 'throughput': 1.793014754533477, 'latency_mean': 2.2198899817466735, 'latency_p50': 2.217987298965454, 'latency_p90': 2.4924256086349486}, {'batch_size': 5, 'throughput': 1.8824822981338853, 'latency_mean': 2.6401697981357573, 'latency_p50': 2.6257702112197876, 'latency_p90': 2.966812181472778}, {'batch_size': 8, 'throughput': 2.0218596013171726, 'latency_mean': 3.9257897663116457, 'latency_p50': 3.982595205307007, 'latency_p90': 4.381848287582398}, {'batch_size': 10, 'throughput': 2.038506764575553, 'latency_mean': 4.858266175985336, 'latency_p50': 4.858008146286011, 'latency_p90': 5.559025454521179}, {'batch_size': 12, 'throughput': 2.0482108317018706, 'latency_mean': 5.7822979485988615, 'latency_p50': 5.803446531295776, 'latency_p90': 6.430032086372376}, {'batch_size': 15, 'throughput': 2.0234984375517415, 'latency_mean': 7.257953004837036, 'latency_p50': 7.359744548797607, 'latency_p90': 8.065742015838623}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: Riverise/0910_2005_sft

model_name: riverise-0910-2005-sft_v1

model_num_parameters: 8030261248.0

model_repo: Riverise/0910_2005_sft

model_size: 8B

num_battles: 9555

num_wins: 4892

propriety_score: 0.7334058759521219

propriety_total_count: 919.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 2.02

timestamp: 2024-09-12T07:22:11+00:00

us_pacific_date: 2024-09-12

win_ratio: 0.5119832548403978

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Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name riverise-0910-2005-sft-v4-mkmlizer
Waiting for job on riverise-0910-2005-sft-v4-mkmlizer to finish
riverise-0910-2005-sft-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-0910-2005-sft-v4-mkmlizer: ║     _____            __           __                                ║
riverise-0910-2005-sft-v4-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-0910-2005-sft-v4-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-0910-2005-sft-v4-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-0910-2005-sft-v4-mkmlizer: ║       /___/                                                         ║
riverise-0910-2005-sft-v4-mkmlizer: ║                                                                     ║
riverise-0910-2005-sft-v4-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-0910-2005-sft-v4-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-0910-2005-sft-v4-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-0910-2005-sft-v4-mkmlizer: ║                                                                     ║
riverise-0910-2005-sft-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-0910-2005-sft-v4-mkmlizer: ║  belonging to:                                                      ║
riverise-0910-2005-sft-v4-mkmlizer: ║                                                                     ║
riverise-0910-2005-sft-v4-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-0910-2005-sft-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-0910-2005-sft-v4-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-0910-2005-sft-v4-mkmlizer: ║                                                                     ║
riverise-0910-2005-sft-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Failed to get response for submission zonemercy-virgo-edit-v1-1e5_v12: HTTPConnectionPool(host='zonemercy-virgo-edit-v1-1e5-v12-predictor.tenant-chaiml-guanaco.k2.chaiverse.com', port=80): Max retries exceeded with url: /v1/models/GPT-J-6B-lit-v2:predict (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7f2a77d347a0>, 'Connection to zonemercy-virgo-edit-v1-1e5-v12-predictor.tenant-chaiml-guanaco.k2.chaiverse.com timed out. (connect timeout=None)'))
riverise-0910-2005-sft-v4-mkmlizer: Downloaded to shared memory in 21.968s
riverise-0910-2005-sft-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptn2hzsih, device:0
riverise-0910-2005-sft-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-0910-2005-sft-v4-mkmlizer: quantized model in 26.539s
riverise-0910-2005-sft-v4-mkmlizer: Processed model Riverise/0910_2005_sft in 48.507s
riverise-0910-2005-sft-v4-mkmlizer: creating bucket guanaco-mkml-models
riverise-0910-2005-sft-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-0910-2005-sft-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-0910-2005-sft-v4
riverise-0910-2005-sft-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-0910-2005-sft-v4/config.json
riverise-0910-2005-sft-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-0910-2005-sft-v4/special_tokens_map.json
riverise-0910-2005-sft-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-0910-2005-sft-v4/tokenizer_config.json
riverise-0910-2005-sft-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-0910-2005-sft-v4/tokenizer.json
riverise-0910-2005-sft-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-0910-2005-sft-v4/flywheel_model.0.safetensors
riverise-0910-2005-sft-v4-mkmlizer: 
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Job riverise-0910-2005-sft-v4-mkmlizer completed after 73.12s with status: succeeded
Stopping job with name riverise-0910-2005-sft-v4-mkmlizer
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Inference service riverise-0910-2005-sft-v4 ready after 170.78907346725464s
Pipeline stage MKMLDeployer completed in 171.17s
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Received healthy response to inference request in 2.2094058990478516s
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Received healthy response to inference request in 11.634801149368286s
Received healthy response to inference request in 1.7501471042633057s
Received healthy response to inference request in 1.742021083831787s
5 requests
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5th percentile: 1.7436462879180907
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90th percentile: 8.222029542922975
95th percentile: 9.928415346145629
99th percentile: 11.293523988723754
mean time: 4.087849473953247
Pipeline stage StressChecker completed in 21.59s
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Shutdown handler de-registered
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Inference service riverise-0910-2005-sft-v4-profiler ready after 170.40673899650574s
Pipeline stage MKMLProfilerDeployer completed in 170.76s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/riverise-0910-2005-sft-v4-profiler-predictor-00001-deploymwbvnr:/code/chaiverse_profiler_1726126220 --namespace tenant-chaiml-guanaco
kubectl exec -it riverise-0910-2005-sft-v4-profiler-predictor-00001-deploymwbvnr --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726126220 && 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_1726126220/summary.json'
kubectl exec -it riverise-0910-2005-sft-v4-profiler-predictor-00001-deploymwbvnr --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726126220/summary.json'
Pipeline stage MKMLProfilerRunner completed in 837.38s
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Service riverise-0910-2005-sft-v4-profiler has been torndown
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riverise-0910-2005-sft_v4 status is now inactive due to auto deactivation removed underperforming models