chaiml-1106-quang-ir-mi_93035

developer_uid: chai_backend_admin

submission_id: chaiml-1106-quang-ir-mi_93035_v1

model_name: training123

model_group: ChaiML/1106-quang-ir-mix

status: torndown

timestamp: 2025-11-10T00:06:31+00:00

num_battles: 5488

num_wins: 2674

celo_rating: 1297.96

family_friendly_score: 0.5804

family_friendly_standard_error: 0.006979052084631551

submission_type: basic

model_repo: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f15000-dpo_0164641ep_1e5

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': 0.38413587605018373, 'latency_mean': 2.6031484031677246, 'latency_p50': 2.599152445793152, 'latency_p90': 2.8612026691436765}, {'batch_size': 2, 'throughput': 0.5781522710754935, 'latency_mean': 3.4518163657188414, 'latency_p50': 3.4545990228652954, 'latency_p90': 3.7604411363601686}, {'batch_size': 3, 'throughput': 0.7147632207774304, 'latency_mean': 4.188016744852066, 'latency_p50': 4.1846171617507935, 'latency_p90': 4.556679701805114}, {'batch_size': 4, 'throughput': 0.808389191093036, 'latency_mean': 4.929214469194412, 'latency_p50': 4.944767713546753, 'latency_p90': 5.474072384834289}, {'batch_size': 5, 'throughput': 0.8762961578422839, 'latency_mean': 5.682661913633346, 'latency_p50': 5.691275477409363, 'latency_p90': 6.595822811126709}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f15000-dpo_0164641ep_1e5

model_size: 24B

ranking_group: single

throughput_3p7s: 0.63

us_pacific_date: 2025-11-06

win_ratio: 0.4872448979591837

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': ['</s>', '####', '\n', '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-1106-quang-ir-mi-93035-v1-mkmlizer
Waiting for job on chaiml-1106-quang-ir-mi-93035-v1-mkmlizer to finish
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║                                                                     ║
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chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: Downloaded to shared memory in 58.307s
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: Checking if ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f15000-dpo_0164641ep_1e5 already exists in ChaiML
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu8my4u4x, device:0
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: quantized model in 42.317s
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: Processed model ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f15000-dpo_0164641ep_1e5 in 100.624s
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia/config.json
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia/tokenizer_config.json
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia/special_tokens_map.json
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia/tokenizer.json
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia/flywheel_model.1.safetensors
chaiml-1106-quang-ir-mi-93035-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-93035-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1106-quang-ir-mi-93035-v1-mkmlizer completed after 145.62s with status: succeeded
Stopping job with name chaiml-1106-quang-ir-mi-93035-v1-mkmlizer
Pipeline stage MKMLizer completed in 146.21s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.32s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-1106-quang-ir-mi-93035-v1
Waiting for inference service chaiml-1106-quang-ir-mi-93035-v1 to be ready
Inference service chaiml-1106-quang-ir-mi-93035-v1 ready after 170.90063643455505s
Pipeline stage MKMLDeployer completed in 171.74s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.347538471221924s
Received healthy response to inference request in 2.1274445056915283s
Received healthy response to inference request in 2.3719701766967773s
Received healthy response to inference request in 2.109575033187866s
Received healthy response to inference request in 2.3005058765411377s
5 requests
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5th percentile: 2.1131489276885986
10th percentile: 2.116722822189331
20th percentile: 2.123870611190796
30th percentile: 2.1620567798614503
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50th percentile: 2.3005058765411377
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70th percentile: 2.3381319522857664
80th percentile: 2.3524248123168947
90th percentile: 2.362197494506836
95th percentile: 2.3670838356018065
99th percentile: 2.370992908477783
mean time: 2.2514068126678466
Pipeline stage StressChecker completed in 12.56s
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