hastagaras-jamet-l3-1-8b_6660

developer_uid: Hastagaras

submission_id: hastagaras-jamet-l3-1-8b_6660_v1

model_name: test

model_group: Hastagaras/Jamet-L3.1-8B

status: inactive

timestamp: 2024-11-18T08:48:38+00:00

num_battles: 9256

num_wins: 4297

celo_rating: 1225.38

family_friendly_score: 0.5804

family_friendly_standard_error: 0.006979052084631551

submission_type: basic

model_repo: Hastagaras/Jamet-L3.1-8B-TEST1

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.8765528421925552, 'latency_mean': 1.1407647120952606, 'latency_p50': 1.132880449295044, 'latency_p90': 1.2611424922943115}, {'batch_size': 4, 'throughput': 1.8654193984770688, 'latency_mean': 2.1347389590740202, 'latency_p50': 2.1387513875961304, 'latency_p90': 2.3623401403427122}, {'batch_size': 5, 'throughput': 2.023339878360211, 'latency_mean': 2.4610444116592407, 'latency_p50': 2.4638253450393677, 'latency_p90': 2.7434717655181884}, {'batch_size': 8, 'throughput': 2.247457134858343, 'latency_mean': 3.5347822654247283, 'latency_p50': 3.531681180000305, 'latency_p90': 3.998584771156311}, {'batch_size': 10, 'throughput': 2.293288879632318, 'latency_mean': 4.3180048978328704, 'latency_p50': 4.330689907073975, 'latency_p90': 4.929905652999878}, {'batch_size': 12, 'throughput': 2.364438355652088, 'latency_mean': 5.024774547815323, 'latency_p50': 5.070275783538818, 'latency_p90': 5.829174923896789}, {'batch_size': 15, 'throughput': 2.364087323112512, 'latency_mean': 6.264406957626343, 'latency_p50': 6.247306227684021, 'latency_p90': 7.054059767723084}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: test

is_internal_developer: False

language_model: Hastagaras/Jamet-L3.1-8B-TEST1

model_size: 8B

ranking_group: single

throughput_3p7s: 2.28

us_pacific_date: 2024-11-18

win_ratio: 0.46423941227312016

generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 65, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '<|eot_id|>', '{user_name}:', '{bot_name}:'], '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 hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer
Waiting for job on hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer to finish
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║     _____            __           __                                ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║       /___/                                                         ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║                                                                     ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  https://mk1.ai                                                     ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║                                                                     ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  belonging to:                                                      ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║                                                                     ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║  Expiration: 2025-01-15 23:59:59                                    ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ║                                                                     ║
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: Downloaded to shared memory in 32.861s
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7k0ymx30, device:0
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: quantized model in 25.808s
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: Processed model Hastagaras/Jamet-L3.1-8B-TEST1 in 58.670s
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-l3-1-8b-6660-v1
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-l3-1-8b-6660-v1/config.json
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-l3-1-8b-6660-v1/special_tokens_map.json
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-l3-1-8b-6660-v1/tokenizer_config.json
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-l3-1-8b-6660-v1/tokenizer.json
hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-l3-1-8b-6660-v1/flywheel_model.0.safetensors
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Job hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer completed after 85.19s with status: succeeded
Stopping job with name hastagaras-jamet-l3-1-8b-6660-v1-mkmlizer
Pipeline stage MKMLizer completed in 85.73s
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Creating inference service hastagaras-jamet-l3-1-8b-6660-v1
Waiting for inference service hastagaras-jamet-l3-1-8b-6660-v1 to be ready
Inference service hastagaras-jamet-l3-1-8b-6660-v1 ready after 211.89537358283997s
Pipeline stage MKMLDeployer completed in 212.51s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.7893664836883545s
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Received healthy response to inference request in 1.3960318565368652s
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5th percentile: 1.2983325004577637
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hastagaras-jamet-l3-1-8b_6660_v1 status is now inactive due to auto deactivation removed underperforming models