developer_uid: azuruce
submission_id: epiculous-crimson-dawn-v0-2_v3
model_name: epiculous-crimson-dawn-v0-2_v3
model_group: Epiculous/Crimson_Dawn-v
status: torndown
timestamp: 2025-01-08T23:32:01+00:00
num_battles: 6270
num_wins: 3108
celo_rating: 1242.4
family_friendly_score: 0.589
family_friendly_standard_error: 0.006958146304871722
submission_type: basic
model_repo: Epiculous/Crimson_Dawn-v0.2
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 4
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.6338127971533937, 'latency_mean': 1.577657915353775, 'latency_p50': 1.587963342666626, 'latency_p90': 1.7272061586380005}, {'batch_size': 3, 'throughput': 1.2768434616143338, 'latency_mean': 2.3413112235069273, 'latency_p50': 2.338141083717346, 'latency_p90': 2.5508400440216064}, {'batch_size': 5, 'throughput': 1.6009911439944158, 'latency_mean': 3.101874564886093, 'latency_p50': 3.126186966896057, 'latency_p90': 3.48661732673645}, {'batch_size': 6, 'throughput': 1.7221977354002123, 'latency_mean': 3.470020642280579, 'latency_p50': 3.4616962671279907, 'latency_p90': 3.9568521976470947}, {'batch_size': 8, 'throughput': 1.877405174103225, 'latency_mean': 4.2279321205616, 'latency_p50': 4.241806268692017, 'latency_p90': 4.788101124763489}, {'batch_size': 10, 'throughput': 1.9463972735001769, 'latency_mean': 5.100714440345764, 'latency_p50': 5.107937455177307, 'latency_p90': 5.764317321777344}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: epiculous-crimson-dawn-v0-2_v3
is_internal_developer: False
language_model: Epiculous/Crimson_Dawn-v0.2
model_size: 13B
ranking_group: single
throughput_3p7s: 1.79
us_pacific_date: 2025-01-08
win_ratio: 0.49569377990430624
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '</s>', '####', 'You:', 'Me', '<|im_end|>', '\n', 'Bot:', 'User:'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name epiculous-crimson-dawn-v0-2-v3-mkmlizer
Waiting for job on epiculous-crimson-dawn-v0-2-v3-mkmlizer to finish
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ _____ __ __ ║
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epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ /___/ ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ Version: 0.11.12 ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ https://mk1.ai ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ The license key for the current software has been verified as ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ belonging to: ║
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epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ Chai Research Corp. ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
epiculous-crimson-dawn-v0-2-v3-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
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epiculous-crimson-dawn-v0-2-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-crimson-dawn-v0-2-v3-mkmlizer: Downloaded to shared memory in 47.466s
epiculous-crimson-dawn-v0-2-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp2j2o2om4, device:0
epiculous-crimson-dawn-v0-2-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-crimson-dawn-v0-2-v3-mkmlizer: quantized model in 36.593s
epiculous-crimson-dawn-v0-2-v3-mkmlizer: Processed model Epiculous/Crimson_Dawn-v0.2 in 84.059s
epiculous-crimson-dawn-v0-2-v3-mkmlizer: creating bucket guanaco-mkml-models
epiculous-crimson-dawn-v0-2-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-crimson-dawn-v0-2-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v3
epiculous-crimson-dawn-v0-2-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v3/special_tokens_map.json
epiculous-crimson-dawn-v0-2-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v3/config.json
epiculous-crimson-dawn-v0-2-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v3/tokenizer_config.json
epiculous-crimson-dawn-v0-2-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-crimson-dawn-v0-2-v3/flywheel_model.0.safetensors
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Job epiculous-crimson-dawn-v0-2-v3-mkmlizer completed after 103.95s with status: succeeded
Stopping job with name epiculous-crimson-dawn-v0-2-v3-mkmlizer
Pipeline stage MKMLizer completed in 104.47s
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Pipeline stage MKMLTemplater completed in 0.17s
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Creating inference service epiculous-crimson-dawn-v0-2-v3
Waiting for inference service epiculous-crimson-dawn-v0-2-v3 to be ready
Inference service epiculous-crimson-dawn-v0-2-v3 ready after 351.61178755760193s
Pipeline stage MKMLDeployer completed in 352.23s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9047529697418213s
Received healthy response to inference request in 1.469550371170044s
Received healthy response to inference request in 1.1987497806549072s
Received healthy response to inference request in 1.4675977230072021s
Received healthy response to inference request in 1.5951125621795654s
5 requests
0 failed requests
5th percentile: 1.2525193691253662
10th percentile: 1.3062889575958252
20th percentile: 1.4138281345367432
30th percentile: 1.4679882526397705
40th percentile: 1.4687693119049072
50th percentile: 1.469550371170044
60th percentile: 1.5197752475738526
70th percentile: 1.570000123977661
80th percentile: 1.6570406436920166
90th percentile: 1.7808968067169189
95th percentile: 1.84282488822937
99th percentile: 1.892367353439331
mean time: 1.527152681350708
Pipeline stage StressChecker completed in 9.24s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2491.47s
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epiculous-crimson-dawn-v0-2_v3 status is now torndown due to DeploymentManager action