riverise-0912-1056-sft-9k

submission_id: riverise-0912-1056-sft-9k_v2

developer_uid: Riverise

alignment_samples: 11948

alignment_score: -0.6502759958431814

best_of: 16

celo_rating: 1233.69

display_name: riverise-0912-1056-sft-9k_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/0912_1056_sft_9k

latencies: [{'batch_size': 1, 'throughput': 0.9097967717939018, 'latency_mean': 1.0990527522563935, 'latency_p50': 1.0959552526474, 'latency_p90': 1.22532057762146}, {'batch_size': 4, 'throughput': 1.773047517511903, 'latency_mean': 2.2491184639930726, 'latency_p50': 2.2593854665756226, 'latency_p90': 2.520443296432495}, {'batch_size': 5, 'throughput': 1.835157802210934, 'latency_mean': 2.704769765138626, 'latency_p50': 2.70847487449646, 'latency_p90': 3.033552360534668}, {'batch_size': 8, 'throughput': 1.9589318363035115, 'latency_mean': 4.055997266769409, 'latency_p50': 4.095089793205261, 'latency_p90': 4.561208701133728}, {'batch_size': 10, 'throughput': 1.9942855118557494, 'latency_mean': 4.970189938545227, 'latency_p50': 4.9084084033966064, 'latency_p90': 5.7832465171813965}, {'batch_size': 12, 'throughput': 1.9892410254288437, 'latency_mean': 5.94607985496521, 'latency_p50': 5.9554280042648315, 'latency_p90': 6.808731269836426}, {'batch_size': 15, 'throughput': 2.0131413226572583, 'latency_mean': 7.316072556972504, 'latency_p50': 7.421098947525024, 'latency_p90': 8.20083646774292}]

max_input_tokens: 512

max_output_tokens: 64

model_architecture: LlamaForCausalLM

model_group: Riverise/0912_1056_sft_9

model_name: riverise-0912-1056-sft-9k_v1

model_num_parameters: 8030261248.0

model_repo: Riverise/0912_1056_sft_9k

model_size: 8B

num_battles: 11947

num_wins: 5780

propriety_score: 0.7052730696798494

propriety_total_count: 1062.0

ranking_group: single

status: inactive

submission_type: basic

throughput_3p7s: 1.95

timestamp: 2024-09-13T03:01:01+00:00

us_pacific_date: 2024-09-12

win_ratio: 0.4838034653050975

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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 riverise-0912-1056-sft-9k-v2-mkmlizer
Waiting for job on riverise-0912-1056-sft-9k-v2-mkmlizer to finish
riverise-0912-1056-sft-9k-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-0912-1056-sft-9k-v2-mkmlizer: ║     _____            __           __                                ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║       /___/                                                         ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║                                                                     ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  Version: 0.10.1                                                    ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║                                                                     ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  belonging to:                                                      ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║                                                                     ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ║                                                                     ║
riverise-0912-1056-sft-9k-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-0912-1056-sft-9k-v2-mkmlizer: Downloaded to shared memory in 20.807s
riverise-0912-1056-sft-9k-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp59b32mqv, device:0
riverise-0912-1056-sft-9k-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-0912-1056-sft-9k-v2-mkmlizer: creating bucket guanaco-mkml-models
riverise-0912-1056-sft-9k-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-0912-1056-sft-9k-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-0912-1056-sft-9k-v2
riverise-0912-1056-sft-9k-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-0912-1056-sft-9k-v2/special_tokens_map.json
riverise-0912-1056-sft-9k-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-0912-1056-sft-9k-v2/config.json
riverise-0912-1056-sft-9k-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-0912-1056-sft-9k-v2/tokenizer_config.json
riverise-0912-1056-sft-9k-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-0912-1056-sft-9k-v2/tokenizer.json
riverise-0912-1056-sft-9k-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-0912-1056-sft-9k-v2/flywheel_model.0.safetensors
riverise-0912-1056-sft-9k-v2-mkmlizer: 
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Job riverise-0912-1056-sft-9k-v2-mkmlizer completed after 64.21s with status: succeeded
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Inference service riverise-0912-1056-sft-9k-v2 ready after 171.83521795272827s
Pipeline stage MKMLDeployer completed in 172.20s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/riverise-0912-1056-s936c01e093bb16053212ce1a5f10ac17-deplozx4r7:/code/chaiverse_profiler_1726196925 --namespace tenant-chaiml-guanaco
kubectl exec -it riverise-0912-1056-s936c01e093bb16053212ce1a5f10ac17-deplozx4r7 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1726196925 && 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_1726196925/summary.json'
kubectl exec -it riverise-0912-1056-s936c01e093bb16053212ce1a5f10ac17-deplozx4r7 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1726196925/summary.json'
Pipeline stage MKMLProfilerRunner completed in 849.28s
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riverise-0912-1056-sft-9k_v2 status is now inactive due to auto deactivation removed underperforming models