sao10k-l3-1-8b-steertama-run2

developer_uid: Sao10K

submission_id: sao10k-l3-1-8b-steertama-run2_v2

model_name: Steertama-L3-run2

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

status: inactive

timestamp: 2024-12-03T16:02:52+00:00

num_battles: 15002

num_wins: 7158

celo_rating: 1245.06

family_friendly_score: 0.5708

family_friendly_standard_error: 0.006999819426242366

submission_type: basic

model_repo: Sao10K/L3.1-8B-Steertama-run2

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.8595613671318396, 'latency_mean': 1.1632877171039582, 'latency_p50': 1.1598749160766602, 'latency_p90': 1.2781872987747191}, {'batch_size': 4, 'throughput': 1.8419883894149636, 'latency_mean': 2.1660177624225616, 'latency_p50': 2.1696192026138306, 'latency_p90': 2.3844485521316527}, {'batch_size': 5, 'throughput': 1.9777198796220776, 'latency_mean': 2.5164863264560697, 'latency_p50': 2.529857873916626, 'latency_p90': 2.787077236175537}, {'batch_size': 8, 'throughput': 2.203887940357762, 'latency_mean': 3.606603500843048, 'latency_p50': 3.588645815849304, 'latency_p90': 4.0664042949676515}, {'batch_size': 10, 'throughput': 2.2662468164282124, 'latency_mean': 4.378118323087692, 'latency_p50': 4.370584011077881, 'latency_p90': 4.897731614112854}, {'batch_size': 12, 'throughput': 2.309821243670002, 'latency_mean': 5.147453074455261, 'latency_p50': 5.1786381006240845, 'latency_p90': 5.729732847213745}, {'batch_size': 15, 'throughput': 2.3198716488248983, 'latency_mean': 6.37716381072998, 'latency_p50': 6.38421905040741, 'latency_p90': 7.081261086463928}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: Steertama-L3-run2

is_internal_developer: False

language_model: Sao10K/L3.1-8B-Steertama-run2

model_size: 8B

ranking_group: single

throughput_3p7s: 2.23

us_pacific_date: 2024-12-03

win_ratio: 0.4771363818157579

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-run2-v2-mkmlizer
Waiting for job on sao10k-l3-1-8b-steertama-run2-v2-mkmlizer to finish
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║     _____            __           __                                ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║       /___/                                                         ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  Version: 0.11.12                                                   ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  belonging to:                                                      ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ║                                                                     ║
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: Downloaded to shared memory in 25.843s
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpty0hf34o, device:0
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: quantized model in 27.383s
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: Processed model Sao10K/L3.1-8B-Steertama-run2 in 53.227s
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run2-v2
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run2-v2/config.json
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run2-v2/special_tokens_map.json
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run2-v2/tokenizer_config.json
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run2-v2/tokenizer.json
sao10k-l3-1-8b-steertama-run2-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-1-8b-steertama-run2-v2/flywheel_model.0.safetensors
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Job sao10k-l3-1-8b-steertama-run2-v2-mkmlizer completed after 84.13s with status: succeeded
Stopping job with name sao10k-l3-1-8b-steertama-run2-v2-mkmlizer
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Creating inference service sao10k-l3-1-8b-steertama-run2-v2
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Inference service sao10k-l3-1-8b-steertama-run2-v2 ready after 150.8648087978363s
Pipeline stage MKMLDeployer completed in 151.51s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7703006267547607s
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Received healthy response to inference request in 1.5189118385314941s
Received healthy response to inference request in 1.2152400016784668s
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