chaiml-1114-quang-ir-cld-_964

developer_uid: chai_backend_admin

submission_id: chaiml-1114-quang-ir-cld-_964_v1

model_name: training123

model_group: ChaiML/1114-quang-ir-cld

status: torndown

timestamp: 2025-11-17T23:46:31+00:00

num_battles: 5675

num_wins: 2940

celo_rating: 1297.44

family_friendly_score: 0.46199999999999997

family_friendly_standard_error: 0.007050616994277877

submission_type: basic

model_repo: ChaiML/1114-quang-ir-cld-mult25k-rm-fs065-b28-dporm_mult25k_0164642ep_3e5cs

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': 0.38136565118232174, 'latency_mean': 2.622058238983154, 'latency_p50': 2.6296035051345825, 'latency_p90': 2.879555296897888}, {'batch_size': 2, 'throughput': 0.5683452511001038, 'latency_mean': 3.5111648309230805, 'latency_p50': 3.557832360267639, 'latency_p90': 3.8229041576385496}, {'batch_size': 3, 'throughput': 0.708495652917184, 'latency_mean': 4.223987777233123, 'latency_p50': 4.230789542198181, 'latency_p90': 4.753573751449585}, {'batch_size': 4, 'throughput': 0.7993331947999114, 'latency_mean': 4.97781877040863, 'latency_p50': 5.021279811859131, 'latency_p90': 5.589030098915099}, {'batch_size': 5, 'throughput': 0.8692500278403049, 'latency_mean': 5.725462766885758, 'latency_p50': 5.7307069301605225, 'latency_p90': 6.537290167808533}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1114-quang-ir-cld-mult25k-rm-fs065-b28-dporm_mult25k_0164642ep_3e5cs

model_size: 24B

ranking_group: single

throughput_3p7s: 0.61

us_pacific_date: 2025-11-14

win_ratio: 0.5180616740088105

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', 'You:', '</s>'], '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-1114-quang-ir-cld-964-v1-mkmlizer
Waiting for job on chaiml-1114-quang-ir-cld-964-v1-mkmlizer to finish
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chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║                                                                     ║
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chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ║                                                                     ║
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: Downloaded to shared memory in 59.056s
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: Checking if ChaiML/1114-quang-ir-cld-mult25k-rm-fs065-b28-dporm_mult25k_0164642ep_3e5cs already exists in ChaiML
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsxagc35a, device:0
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: quantized model in 42.483s
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: Processed model ChaiML/1114-quang-ir-cld-mult25k-rm-fs065-b28-dporm_mult25k_0164642ep_3e5cs in 101.540s
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia/config.json
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia/special_tokens_map.json
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia/tokenizer_config.json
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia/tokenizer.json
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia/flywheel_model.1.safetensors
chaiml-1114-quang-ir-cld-964-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1114-quang-ir-cld-964-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1114-quang-ir-cld-964-v1-mkmlizer completed after 165.09s with status: succeeded
Stopping job with name chaiml-1114-quang-ir-cld-964-v1-mkmlizer
Pipeline stage MKMLizer completed in 165.75s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1114-quang-ir-cld-964-v1
Waiting for inference service chaiml-1114-quang-ir-cld-964-v1 to be ready
Inference service chaiml-1114-quang-ir-cld-964-v1 ready after 160.79843425750732s
Pipeline stage MKMLDeployer completed in 161.53s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4381020069122314s
Received healthy response to inference request in 2.3814287185668945s
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Received healthy response to inference request in 2.144350528717041s
Received healthy response to inference request in 2.4405641555786133s
5 requests
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5th percentile: 2.1549176216125487
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99th percentile: 2.440465669631958
mean time: 2.3203262805938722
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