sao10k-l3-1-8b-steertama-run4

developer_uid: Sao10K

submission_id: sao10k-l3-1-8b-steertama-run4_v1

model_name: Steertama-L3-run4

model_group: Sao10K/L3.1-8B-Steertama

status: inactive

timestamp: 2024-12-04T06:42:32+00:00

num_battles: 9312

num_wins: 4335

celo_rating: 1237.93

family_friendly_score: 0.5736

family_friendly_standard_error: 0.006994040892073766

submission_type: basic

model_repo: Sao10K/L3.1-8B-Steertama-run4

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.8656325735103084, 'latency_mean': 1.1551618671417236, 'latency_p50': 1.1584382057189941, 'latency_p90': 1.2821446657180786}, {'batch_size': 4, 'throughput': 1.8684425105204088, 'latency_mean': 2.135071589946747, 'latency_p50': 2.128337264060974, 'latency_p90': 2.368890118598938}, {'batch_size': 5, 'throughput': 2.005719909097167, 'latency_mean': 2.4746505653858186, 'latency_p50': 2.483322024345398, 'latency_p90': 2.7208807468414307}, {'batch_size': 8, 'throughput': 2.2187621657076524, 'latency_mean': 3.5857611751556395, 'latency_p50': 3.6277698278427124, 'latency_p90': 4.019377827644348}, {'batch_size': 10, 'throughput': 2.2938186554518842, 'latency_mean': 4.324312551021576, 'latency_p50': 4.331232666969299, 'latency_p90': 4.931715393066406}, {'batch_size': 12, 'throughput': 2.3434673958683816, 'latency_mean': 5.069486911296845, 'latency_p50': 5.073521018028259, 'latency_p90': 5.758146476745605}, {'batch_size': 15, 'throughput': 2.346474507652643, 'latency_mean': 6.309899637699127, 'latency_p50': 6.353214859962463, 'latency_p90': 7.024136996269226}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: Steertama-L3-run4

is_internal_developer: False

language_model: Sao10K/L3.1-8B-Steertama-run4

model_size: 8B

ranking_group: single

throughput_3p7s: 2.25

us_pacific_date: 2024-12-03

win_ratio: 0.46552835051546393

generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>', '\nYou:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

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}

Resubmit model

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 sao10k-l3-1-8b-steertama-run4-v1-mkmlizer
Waiting for job on sao10k-l3-1-8b-steertama-run4-v1-mkmlizer to finish
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║     _____            __           __                                ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║       /___/                                                         ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  belonging to:                                                      ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: Downloaded to shared memory in 33.972s
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyoxhskkd, device:0
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: quantized model in 26.167s
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: Processed model Sao10K/L3.1-8B-Steertama-run4 in 60.139s
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run4-v1
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run4-v1/config.json
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run4-v1/special_tokens_map.json
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run4-v1/tokenizer_config.json
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run4-v1/tokenizer.json
sao10k-l3-1-8b-steertama-run4-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run4-v1/flywheel_model.0.safetensors
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Job sao10k-l3-1-8b-steertama-run4-v1-mkmlizer completed after 83.8s with status: succeeded
Stopping job with name sao10k-l3-1-8b-steertama-run4-v1-mkmlizer
Pipeline stage MKMLizer completed in 84.42s
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Pipeline stage MKMLTemplater completed in 0.16s
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Creating inference service sao10k-l3-1-8b-steertama-run4-v1
Waiting for inference service sao10k-l3-1-8b-steertama-run4-v1 to be ready
Inference service sao10k-l3-1-8b-steertama-run4-v1 ready after 150.5334541797638s
Pipeline stage MKMLDeployer completed in 151.12s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0813541412353516s
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Received healthy response to inference request in 1.390467882156372s
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5th percentile: 1.215073585510254
10th percentile: 1.226602554321289
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Evaluating %s Family Friendly Score with %s threads
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