epiculous-violet-twili_46660

developer_uid: Luna1040

submission_id: epiculous-violet-twili_46660_v23

model_name: epiculous-violet-twili_46660_v23

model_group: Epiculous/Violet_Twiligh

status: torndown

timestamp: 2025-07-01T14:52:14+00:00

num_battles: 6975

num_wins: 3145

celo_rating: 1253.05

family_friendly_score: 0.5618000000000001

family_friendly_standard_error: 0.007016847725296595

submission_type: basic

model_repo: Epiculous/Violet_Twilight-v0.2

model_architecture: MistralForCausalLM

model_num_parameters: 12772070400.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

latencies: [{'batch_size': 1, 'throughput': 0.5959553131327716, 'latency_mean': 1.6778534746170044, 'latency_p50': 1.6650335788726807, 'latency_p90': 1.869269609451294}, {'batch_size': 3, 'throughput': 1.056750280444321, 'latency_mean': 2.829083331823349, 'latency_p50': 2.8281689882278442, 'latency_p90': 3.1035969734191893}, {'batch_size': 5, 'throughput': 1.2477200676553197, 'latency_mean': 3.9841574954986574, 'latency_p50': 4.0157328844070435, 'latency_p90': 4.409118342399597}, {'batch_size': 6, 'throughput': 1.3372356508176602, 'latency_mean': 4.4502900910377505, 'latency_p50': 4.419613003730774, 'latency_p90': 5.0306236743927}, {'batch_size': 8, 'throughput': 1.3977963085525416, 'latency_mean': 5.67935958981514, 'latency_p50': 5.664866209030151, 'latency_p90': 6.493436670303344}, {'batch_size': 10, 'throughput': 1.414809893910003, 'latency_mean': 7.009617859125138, 'latency_p50': 6.947423100471497, 'latency_p90': 7.935792183876037}]

gpu_counts: {'NVIDIA RTX A5000': 1}

display_name: epiculous-violet-twili_46660_v23

is_internal_developer: False

language_model: Epiculous/Violet_Twilight-v0.2

model_size: 13B

ranking_group: single

throughput_3p7s: 1.22

us_pacific_date: 2025-07-01

win_ratio: 0.45089605734767024

generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.02, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '|im_end|', '[/INST]', '[INST]', '<|start_header_id|>'], '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
run pipeline %s
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Running pipeline stage MKMLizer
Starting job with name epiculous-violet-twili-46660-v23-mkmlizer
Waiting for job on epiculous-violet-twili-46660-v23-mkmlizer to finish
epiculous-violet-twili-46660-v23-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
epiculous-violet-twili-46660-v23-mkmlizer: ║                                                                     ║
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epiculous-violet-twili-46660-v23-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
epiculous-violet-twili-46660-v23-mkmlizer: ║                                                                     ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  Version: 0.29.3                                                    ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  https://mk1.ai                                                     ║
epiculous-violet-twili-46660-v23-mkmlizer: ║                                                                     ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  The license key for the current software has been verified as      ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  belonging to:                                                      ║
epiculous-violet-twili-46660-v23-mkmlizer: ║                                                                     ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  Chai Research Corp.                                                ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
epiculous-violet-twili-46660-v23-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
epiculous-violet-twili-46660-v23-mkmlizer: ║                                                                     ║
epiculous-violet-twili-46660-v23-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
epiculous-violet-twili-46660-v23-mkmlizer: Downloaded to shared memory in 32.052s
epiculous-violet-twili-46660-v23-mkmlizer: Checking if Epiculous/Violet_Twilight-v0.2 already exists in ChaiML
epiculous-violet-twili-46660-v23-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpzvba6pc4, device:0
epiculous-violet-twili-46660-v23-mkmlizer: Saving flywheel model at /dev/shm/model_cache
epiculous-violet-twili-46660-v23-mkmlizer: quantized model in 30.781s
epiculous-violet-twili-46660-v23-mkmlizer: Processed model Epiculous/Violet_Twilight-v0.2 in 62.917s
epiculous-violet-twili-46660-v23-mkmlizer: creating bucket guanaco-mkml-models
epiculous-violet-twili-46660-v23-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
epiculous-violet-twili-46660-v23-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/epiculous-violet-twili-46660-v23
epiculous-violet-twili-46660-v23-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/epiculous-violet-twili-46660-v23/config.json
epiculous-violet-twili-46660-v23-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/epiculous-violet-twili-46660-v23/special_tokens_map.json
epiculous-violet-twili-46660-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/epiculous-violet-twili-46660-v23/tokenizer_config.json
epiculous-violet-twili-46660-v23-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/epiculous-violet-twili-46660-v23/tokenizer.json
epiculous-violet-twili-46660-v23-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/epiculous-violet-twili-46660-v23/flywheel_model.0.safetensors
epiculous-violet-twili-46660-v23-mkmlizer: 
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Job epiculous-violet-twili-46660-v23-mkmlizer completed after 84.71s with status: succeeded
Stopping job with name epiculous-violet-twili-46660-v23-mkmlizer
Pipeline stage MKMLizer completed in 85.24s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
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Running pipeline stage MKMLDeployer
Creating inference service epiculous-violet-twili-46660-v23
Waiting for inference service epiculous-violet-twili-46660-v23 to be ready
Failed to get response for submission chaiml-mistralnemo-12b-_88791_v2: HTTPConnectionPool(host='chaiml-mistralnemo-12b-88791-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-mistralnemo-12b-_88791_v2: HTTPConnectionPool(host='chaiml-mistralnemo-12b-88791-v2-predictor.tenant-chaiml-guanaco.k.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service epiculous-violet-twili-46660-v23 ready after 211.01915645599365s
Pipeline stage MKMLDeployer completed in 211.52s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.6750996112823486s
Received healthy response to inference request in 1.622441053390503s
Received healthy response to inference request in 1.6925952434539795s
Received healthy response to inference request in 2.0506203174591064s
Received healthy response to inference request in 1.6895413398742676s
5 requests
0 failed requests
5th percentile: 1.6358611106872558
10th percentile: 1.6492811679840087
20th percentile: 1.6761212825775147
30th percentile: 1.69015212059021
40th percentile: 1.6913736820220948
50th percentile: 1.6925952434539795
60th percentile: 1.8358052730560304
70th percentile: 1.979015302658081
80th percentile: 2.175516176223755
90th percentile: 2.4253078937530517
95th percentile: 2.5502037525177
99th percentile: 2.650120439529419
mean time: 1.946059513092041
Pipeline stage StressChecker completed in 11.14s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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Evaluating %s Family Friendly Score with %s threads
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Pipeline stage MKMLProfilerTemplater completed in 0.12s
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Creating inference service epiculous-violet-twili-46660-v23-profiler
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Inference service epiculous-violet-twili-46660-v23-profiler ready after 212.54428935050964s
Pipeline stage MKMLProfilerDeployer completed in 213.42s
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/epiculous-violet-twiaf5f1ca6948d86e3b43f9c9278f2ccc5-deplopjf85:/code/chaiverse_profiler_1751382133 --namespace tenant-chaiml-guanaco
kubectl exec -it epiculous-violet-twiaf5f1ca6948d86e3b43f9c9278f2ccc5-deplopjf85 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1751382133 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1751382133/summary.json'
kubectl exec -it epiculous-violet-twiaf5f1ca6948d86e3b43f9c9278f2ccc5-deplopjf85 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1751382133/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1129.34s
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Running pipeline stage MKMLProfilerDeleter
Checking if service epiculous-violet-twili-46660-v23-profiler is running
Tearing down inference service epiculous-violet-twili-46660-v23-profiler
Service epiculous-violet-twili-46660-v23-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 2.96s
Shutdown handler de-registered
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
clean up pipeline due to error=DeploymentChecksError('None: None')
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5639.09s
Shutdown handler de-registered
epiculous-violet-twili_46660_v23 status is now inactive due to auto deactivation removed underperforming models
epiculous-violet-twili_46660_v23 status is now torndown due to DeploymentManager action