developer_uid: cycy233
submission_id: cycy233-modelv-fusion-s_21407_v1
model_name: cycy233-modelv-fusion-s_21407_v1
model_group: cycy233/modelV_fusion_st
status: torndown
timestamp: 2025-05-12T04:16:27+00:00
num_battles: 8862
num_wins: 4558
celo_rating: 1295.87
family_friendly_score: 0.5258
family_friendly_standard_error: 0.007061647966303617
submission_type: basic
model_repo: cycy233/modelV_fusion_step14000
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6070987472223238, 'latency_mean': 1.6470870208740234, 'latency_p50': 1.6247962713241577, 'latency_p90': 1.8235491514205933}, {'batch_size': 3, 'throughput': 1.1077569279733082, 'latency_mean': 2.7030799639225007, 'latency_p50': 2.682624340057373, 'latency_p90': 3.0361076116561887}, {'batch_size': 5, 'throughput': 1.335613551447674, 'latency_mean': 3.726905328035355, 'latency_p50': 3.7106831073760986, 'latency_p90': 4.2225535154342655}, {'batch_size': 6, 'throughput': 1.4234954434019813, 'latency_mean': 4.201579600572586, 'latency_p50': 4.2083646059036255, 'latency_p90': 4.717849254608154}, {'batch_size': 8, 'throughput': 1.4734427073885847, 'latency_mean': 5.3931163930892945, 'latency_p50': 5.425593733787537, 'latency_p90': 6.079239058494568}, {'batch_size': 10, 'throughput': 1.4906160667361785, 'latency_mean': 6.654587305784226, 'latency_p50': 6.6706730127334595, 'latency_p90': 7.463968539237976}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: cycy233-modelv-fusion-s_21407_v1
is_internal_developer: False
language_model: cycy233/modelV_fusion_step14000
model_size: 13B
ranking_group: single
throughput_3p7s: 1.34
us_pacific_date: 2025-05-11
win_ratio: 0.5143308508237419
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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name cycy233-modelv-fusion-s-21407-v1-mkmlizer
Waiting for job on cycy233-modelv-fusion-s-21407-v1-mkmlizer to finish
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ /___/ ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ Version: 0.12.8 ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ belonging to: ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
cycy233-modelv-fusion-s-21407-v1-mkmlizer: ║ ║
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Failed to get response for submission chaiml-anthropic-40k-24_11629_v1: ('http://rirv938-20250411-reward-33516-v2-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:45258->127.0.0.1:8080: read: connection reset by peer\n')
cycy233-modelv-fusion-s-21407-v1-mkmlizer: Downloaded to shared memory in 41.752s
cycy233-modelv-fusion-s-21407-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptb0tkiob, device:0
cycy233-modelv-fusion-s-21407-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-modelv-fusion-s-21407-v1-mkmlizer: quantized model in 36.810s
cycy233-modelv-fusion-s-21407-v1-mkmlizer: Processed model cycy233/modelV_fusion_step14000 in 78.562s
cycy233-modelv-fusion-s-21407-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-modelv-fusion-s-21407-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-modelv-fusion-s-21407-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-modelv-fusion-s-21407-v1
cycy233-modelv-fusion-s-21407-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-modelv-fusion-s-21407-v1/config.json
cycy233-modelv-fusion-s-21407-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-modelv-fusion-s-21407-v1/special_tokens_map.json
cycy233-modelv-fusion-s-21407-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-modelv-fusion-s-21407-v1/tokenizer_config.json
cycy233-modelv-fusion-s-21407-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-modelv-fusion-s-21407-v1/tokenizer.json
cycy233-modelv-fusion-s-21407-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-modelv-fusion-s-21407-v1/flywheel_model.0.safetensors
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Job cycy233-modelv-fusion-s-21407-v1-mkmlizer completed after 104.15s with status: succeeded
Stopping job with name cycy233-modelv-fusion-s-21407-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.64s
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Creating inference service cycy233-modelv-fusion-s-21407-v1
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Inference service cycy233-modelv-fusion-s-21407-v1 ready after 120.46656370162964s
Pipeline stage MKMLDeployer completed in 121.12s
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Received healthy response to inference request in 2.987423896789551s
Received healthy response to inference request in 1.9615566730499268s
Received healthy response to inference request in 1.8971302509307861s
Received healthy response to inference request in 1.8246307373046875s
Received healthy response to inference request in 1.4252493381500244s
5 requests
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5th percentile: 1.5051256179809571
10th percentile: 1.5850018978118896
20th percentile: 1.7447544574737548
30th percentile: 1.8391306400299072
40th percentile: 1.8681304454803467
50th percentile: 1.8971302509307861
60th percentile: 1.9229008197784423
70th percentile: 1.9486713886260987
80th percentile: 2.1667301177978517
90th percentile: 2.5770770072937013
95th percentile: 2.782250452041626
99th percentile: 2.9463892078399656
mean time: 2.019198179244995
Pipeline stage StressChecker completed in 11.48s
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