cycy233-model3-9

developer_uid: cycy233

submission_id: cycy233-model3-9_v2

model_name: 486

model_group: cycy233/model3-9

status: torndown

timestamp: 2025-02-28T09:16:40+00:00

num_battles: 7035

num_wins: 3404

celo_rating: 1245.76

family_friendly_score: 0.5246

family_friendly_standard_error: 0.007062504371680062

submission_type: basic

model_repo: cycy233/model3-9

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.8552494299662872, 'latency_mean': 1.1691864490509034, 'latency_p50': 1.1685212850570679, 'latency_p90': 1.3042669773101807}, {'batch_size': 4, 'throughput': 1.784104846037254, 'latency_mean': 2.2388698554039, 'latency_p50': 2.24888277053833, 'latency_p90': 2.4372577190399167}, {'batch_size': 5, 'throughput': 1.9417793010509965, 'latency_mean': 2.5641313803195955, 'latency_p50': 2.5484317541122437, 'latency_p90': 2.862139844894409}, {'batch_size': 8, 'throughput': 2.140031331634999, 'latency_mean': 3.7129734671115875, 'latency_p50': 3.7330890893936157, 'latency_p90': 4.113515329360962}, {'batch_size': 10, 'throughput': 2.173655405051654, 'latency_mean': 4.563984130620956, 'latency_p50': 4.5575151443481445, 'latency_p90': 5.131915473937988}, {'batch_size': 12, 'throughput': 2.243420834230884, 'latency_mean': 5.29977884888649, 'latency_p50': 5.336565971374512, 'latency_p90': 5.9750302791595455}, {'batch_size': 15, 'throughput': 2.233101285813202, 'latency_mean': 6.631380060911178, 'latency_p50': 6.671956777572632, 'latency_p90': 7.492957544326782}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: 486

is_internal_developer: False

language_model: cycy233/model3-9

model_size: 8B

ranking_group: single

throughput_3p7s: 2.15

us_pacific_date: 2025-02-28

win_ratio: 0.48386638237384505

generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '\n'], '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 cycy233-model3-9-v2-mkmlizer
Waiting for job on cycy233-model3-9-v2-mkmlizer to finish
Failed to get response for submission nischaydnk-exp26-mistra_55673_v5: HTTPConnectionPool(host='nischaydnk-exp26-mistra-55673-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission nischaydnk-exp26-mistra_55673_v5: HTTPConnectionPool(host='nischaydnk-exp26-mistra-55673-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
cycy233-model3-9-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-model3-9-v2-mkmlizer: ║     _____            __           __                                ║
cycy233-model3-9-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
cycy233-model3-9-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
cycy233-model3-9-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
cycy233-model3-9-v2-mkmlizer: ║       /___/                                                         ║
cycy233-model3-9-v2-mkmlizer: ║                                                                     ║
cycy233-model3-9-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
cycy233-model3-9-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
cycy233-model3-9-v2-mkmlizer: ║  https://mk1.ai                                                     ║
cycy233-model3-9-v2-mkmlizer: ║                                                                     ║
cycy233-model3-9-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
cycy233-model3-9-v2-mkmlizer: ║  belonging to:                                                      ║
cycy233-model3-9-v2-mkmlizer: ║                                                                     ║
cycy233-model3-9-v2-mkmlizer: ║  Chai Research Corp.                                                ║
cycy233-model3-9-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
cycy233-model3-9-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
cycy233-model3-9-v2-mkmlizer: ║                                                                     ║
cycy233-model3-9-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-model3-9-v2-mkmlizer: Downloaded to shared memory in 23.803s
cycy233-model3-9-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpwdhilub3, device:0
cycy233-model3-9-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-model3-9-v2-mkmlizer: quantized model in 28.487s
cycy233-model3-9-v2-mkmlizer: Processed model cycy233/model3-9 in 52.290s
cycy233-model3-9-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-model3-9-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-model3-9-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-model3-9-v2
cycy233-model3-9-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-model3-9-v2/config.json
cycy233-model3-9-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-model3-9-v2/special_tokens_map.json
cycy233-model3-9-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-model3-9-v2/tokenizer_config.json
cycy233-model3-9-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-model3-9-v2/tokenizer.json
cycy233-model3-9-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-model3-9-v2/flywheel_model.0.safetensors
cycy233-model3-9-v2-mkmlizer: 
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Job cycy233-model3-9-v2-mkmlizer completed after 83.55s with status: succeeded
Stopping job with name cycy233-model3-9-v2-mkmlizer
Pipeline stage MKMLizer completed in 84.04s
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Failed to get response for submission nischaydnk-exp26-mistra_55673_v5: HTTPConnectionPool(host='nischaydnk-exp26-mistra-55673-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Creating inference service cycy233-model3-9-v2
Waiting for inference service cycy233-model3-9-v2 to be ready
Failed to get response for submission nischaydnk-exp26-mistra_55673_v5: HTTPConnectionPool(host='nischaydnk-exp26-mistra-55673-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service cycy233-model3-9-v2 ready after 160.5971381664276s
Pipeline stage MKMLDeployer completed in 161.04s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.0874829292297363s
Received healthy response to inference request in 1.2945024967193604s
Received healthy response to inference request in 1.4080352783203125s
Received healthy response to inference request in 1.259232759475708s
Received healthy response to inference request in 1.1591620445251465s
5 requests
0 failed requests
5th percentile: 1.1791761875152589
10th percentile: 1.199190330505371
20th percentile: 1.2392186164855956
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90th percentile: 1.8157038688659668
95th percentile: 1.9515933990478516
99th percentile: 2.0603050231933593
mean time: 1.4416831016540528
Pipeline stage StressChecker completed in 8.47s
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Evaluating %s Family Friendly Score with %s threads
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