meta-llama-meta-llama-3-8b

developer_uid: jiayi1

submission_id: meta-llama-meta-llama-3-8b_v17

model_name: test_01

model_group: meta-llama/Meta-Llama-3-

status: torndown

timestamp: 2025-01-07T10:21:09+00:00

num_battles: 9634

num_wins: 3914

celo_rating: 1196.25

family_friendly_score: 0.593

family_friendly_standard_error: 0.00694767587039004

submission_type: basic

model_repo: meta-llama/Meta-Llama-3-8B

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

latencies: [{'batch_size': 1, 'throughput': 0.8718667808535356, 'latency_mean': 1.1468763852119446, 'latency_p50': 1.1455415487289429, 'latency_p90': 1.267365288734436}, {'batch_size': 4, 'throughput': 1.8676625529237345, 'latency_mean': 2.132639756202698, 'latency_p50': 2.129624366760254, 'latency_p90': 2.322745752334595}, {'batch_size': 5, 'throughput': 1.9985768343442267, 'latency_mean': 2.4810811460018156, 'latency_p50': 2.4816750288009644, 'latency_p90': 2.7291014194488525}, {'batch_size': 8, 'throughput': 2.2292061011297943, 'latency_mean': 3.560294053554535, 'latency_p50': 3.594799280166626, 'latency_p90': 4.008766674995422}, {'batch_size': 10, 'throughput': 2.283253154849226, 'latency_mean': 4.346350429058075, 'latency_p50': 4.391378283500671, 'latency_p90': 4.887363529205322}, {'batch_size': 12, 'throughput': 2.3185925363464657, 'latency_mean': 5.121398162841797, 'latency_p50': 5.151126027107239, 'latency_p90': 5.754642200469971}, {'batch_size': 15, 'throughput': 2.344767397680361, 'latency_mean': 6.3116320192813875, 'latency_p50': 6.344835877418518, 'latency_p90': 7.015512323379516}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: test_01

is_internal_developer: False

language_model: meta-llama/Meta-Llama-3-8B

model_size: 8B

ranking_group: single

throughput_3p7s: 2.26

us_pacific_date: 2025-01-07

win_ratio: 0.40626946232094663

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

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}

Resubmit model

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 meta-llama-meta-llama-3-8b-v17-mkmlizer
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meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║       /___/                                                         ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║                                                                     ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  Version: 0.11.12                                                   ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  https://mk1.ai                                                     ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║                                                                     ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  The license key for the current software has been verified as      ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  belonging to:                                                      ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║                                                                     ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  Chai Research Corp.                                                ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ║                                                                     ║
meta-llama-meta-llama-3-8b-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
meta-llama-meta-llama-3-8b-v17-mkmlizer: Downloaded to shared memory in 48.927s
meta-llama-meta-llama-3-8b-v17-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpj1538mlp, device:0
meta-llama-meta-llama-3-8b-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
meta-llama-meta-llama-3-8b-v17-mkmlizer: quantized model in 26.752s
meta-llama-meta-llama-3-8b-v17-mkmlizer: Processed model meta-llama/Meta-Llama-3-8B in 75.679s
meta-llama-meta-llama-3-8b-v17-mkmlizer: creating bucket guanaco-mkml-models
meta-llama-meta-llama-3-8b-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
meta-llama-meta-llama-3-8b-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/meta-llama-meta-llama-3-8b-v17
meta-llama-meta-llama-3-8b-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-8b-v17/config.json
meta-llama-meta-llama-3-8b-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-8b-v17/special_tokens_map.json
meta-llama-meta-llama-3-8b-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-8b-v17/tokenizer_config.json
meta-llama-meta-llama-3-8b-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/meta-llama-meta-llama-3-8b-v17/tokenizer.json
meta-llama-meta-llama-3-8b-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/meta-llama-meta-llama-3-8b-v17/flywheel_model.0.safetensors
Job meta-llama-meta-llama-3-8b-v17-mkmlizer completed after 104.28s with status: succeeded
Stopping job with name meta-llama-meta-llama-3-8b-v17-mkmlizer
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Inference service meta-llama-meta-llama-3-8b-v17 ready after 352.40234184265137s
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HTTPConnectionPool(host='guanaco-submitter.guanaco-backend.k2.chaiverse.com', port=80): Read timed out. (read timeout=20)
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5th percentile: 1.2771097660064696
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