developer_uid: qdv206
submission_id: chaiml-1031-quang-ir-lt_17085_v2
model_name: training123
model_group: ChaiML/1031-quang-ir-ltr
status: torndown
timestamp: 2025-11-04T10:41:11+00:00
num_battles: 5978
num_wins: 3043
celo_rating: 1298.23
family_friendly_score: 0.5156000000000001
family_friendly_standard_error: 0.007067625343777075
submission_type: basic
model_repo: ChaiML/1031-quang-ir-ltry-mix3-maxb3-cld3b-iq8-adh8_5e63e
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 2048
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4667016636389059, 'latency_mean': 2.1425788867473603, 'latency_p50': 2.1367151737213135, 'latency_p90': 2.341889524459839}, {'batch_size': 2, 'throughput': 0.6794809031995707, 'latency_mean': 2.939774854183197, 'latency_p50': 2.9714189767837524, 'latency_p90': 3.188220405578613}, {'batch_size': 3, 'throughput': 0.8224807762190564, 'latency_mean': 3.6338125920295714, 'latency_p50': 3.636959671974182, 'latency_p90': 3.944225764274597}, {'batch_size': 4, 'throughput': 0.92611260213118, 'latency_mean': 4.306039848327637, 'latency_p50': 4.323420286178589, 'latency_p90': 4.965933752059937}, {'batch_size': 5, 'throughput': 0.9784545005024282, 'latency_mean': 5.094625244140625, 'latency_p50': 5.085115194320679, 'latency_p90': 5.8838798046112055}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
ineligible_reason: num_battles<10000
is_internal_developer: False
language_model: ChaiML/1031-quang-ir-ltry-mix3-maxb3-cld3b-iq8-adh8_5e63e
model_size: 24B
ranking_group: single
throughput_3p7s: 0.84
us_pacific_date: 2025-11-01
win_ratio: 0.5090331214452994
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['You:', '\n', '####', '</s>', '####\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s persona: {memory}", 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': 'You: {message}\n', 'response_template': '####\n{bot_name}:', 'truncate_by_message': True}
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 chaiml-1031-quang-ir-lt-17085-v2-mkmlizer
Waiting for job on chaiml-1031-quang-ir-lt-17085-v2-mkmlizer to finish
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chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║                                                                     ║
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chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║                                                                     ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║                                                                     ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║                                                                     ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ║                                                                     ║
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: Downloaded to shared memory in 52.399s
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: Checking if ChaiML/1031-quang-ir-ltry-mix3-maxb3-cld3b-iq8-adh8_5e63e already exists in ChaiML
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpqc2nsauy, device:0
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: quantized model in 285.153s
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: Processed model ChaiML/1031-quang-ir-ltry-mix3-maxb3-cld3b-iq8-adh8_5e63e in 337.552s
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia/config.json
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia/special_tokens_map.json
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia/tokenizer_config.json
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia/tokenizer.json
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia/flywheel_model.1.safetensors
chaiml-1031-quang-ir-lt-17085-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1031-quang-ir-lt-17085-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-1031-quang-ir-lt-17085-v2-mkmlizer completed after 411.06s with status: succeeded
Stopping job with name chaiml-1031-quang-ir-lt-17085-v2-mkmlizer
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Inference service chaiml-1031-quang-ir-lt-17085-v2 ready after 130.51868104934692s
Pipeline stage MKMLDeployer completed in 131.07s
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Received healthy response to inference request in 2.1286678314208984s
Received healthy response to inference request in 1.877051830291748s
Received healthy response to inference request in 2.0718939304351807s
Received healthy response to inference request in 1.90450119972229s
Received healthy response to inference request in 1.9142134189605713s
5 requests
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5th percentile: 1.8825417041778565
10th percentile: 1.888031578063965
20th percentile: 1.8990113258361816
30th percentile: 1.9064436435699463
40th percentile: 1.9103285312652587
50th percentile: 1.9142134189605713
60th percentile: 1.977285623550415
70th percentile: 2.040357828140259
80th percentile: 2.0832487106323243
90th percentile: 2.105958271026611
95th percentile: 2.117313051223755
99th percentile: 2.1263968753814697
mean time: 1.9792656421661377
Pipeline stage StressChecker completed in 11.64s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 2967.50s
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chaiml-1031-quang-ir-lt_17085_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-1031-quang-ir-lt_17085_v2 status is now torndown due to DeploymentManager action