chaiml-1105-quang-ir-mi_89329

developer_uid: chai_backend_admin

submission_id: chaiml-1105-quang-ir-mi_89329_v1

model_name: training123

model_group: ChaiML/1105-quang-ir-mix

status: protected

timestamp: 2025-11-25T00:24:16+00:00

num_battles: 6320

num_wins: 3280

celo_rating: 1313.08

family_friendly_score: 0.5064

family_friendly_standard_error: 0.007070488526261817

submission_type: basic

model_repo: ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003

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': 0.38294130629830364, 'latency_mean': 2.6112681090831757, 'latency_p50': 2.5994805097579956, 'latency_p90': 2.861567974090576}, {'batch_size': 2, 'throughput': 0.5786540679251815, 'latency_mean': 3.4506961619853973, 'latency_p50': 3.4446048736572266, 'latency_p90': 3.8212602615356444}, {'batch_size': 3, 'throughput': 0.7164969745199729, 'latency_mean': 4.170175578594208, 'latency_p50': 4.141321539878845, 'latency_p90': 4.6361685514450075}, {'batch_size': 4, 'throughput': 0.8164148350731927, 'latency_mean': 4.876563340425491, 'latency_p50': 4.876899003982544, 'latency_p90': 5.420540785789489}, {'batch_size': 5, 'throughput': 0.8778752575778792, 'latency_mean': 5.65651459813118, 'latency_p50': 5.688382148742676, 'latency_p90': 6.38155403137207}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003

model_size: 24B

ranking_group: single

throughput_3p7s: 0.63

us_pacific_date: 2025-11-05

win_ratio: 0.5189873417721519

generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['####\n', '\n', '</s>', 'You:', '####'], '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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-1105-quang-ir-mi-89329-v1-mkmlizer
Waiting for job on chaiml-1105-quang-ir-mi-89329-v1-mkmlizer to finish
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chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║                                                                     ║
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chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: Downloaded to shared memory in 78.601s
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: Checking if ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003 already exists in ChaiML
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmphgbznui5, device:0
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: quantized model in 42.872s
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: Processed model ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003 in 121.474s
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia/special_tokens_map.json
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia/config.json
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia/tokenizer_config.json
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia/tokenizer.json
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia/flywheel_model.1.safetensors
chaiml-1105-quang-ir-mi-89329-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1105-quang-ir-mi-89329-v1-mkmlizer completed after 176.64s with status: succeeded
Stopping job with name chaiml-1105-quang-ir-mi-89329-v1-mkmlizer
Pipeline stage MKMLizer completed in 177.18s
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Creating inference service chaiml-1105-quang-ir-mi-89329-v1
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Inference service chaiml-1105-quang-ir-mi-89329-v1 ready after 151.03576755523682s
Pipeline stage MKMLDeployer completed in 151.63s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.8586971759796143s
Received healthy response to inference request in 2.1517438888549805s
Received healthy response to inference request in 2.117802381515503s
Received healthy response to inference request in 2.081519603729248s
Received healthy response to inference request in 2.138655424118042s
5 requests
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5th percentile: 2.088776159286499
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70th percentile: 2.1491261959075927
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90th percentile: 2.5759158611297606
95th percentile: 2.7173065185546874
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mean time: 2.2696836948394776
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