chaiml-1105-quang-ir-mi_11722

developer_uid: chai_backend_admin

submission_id: chaiml-1105-quang-ir-mi_11722_v1

model_name: training123

model_group: ChaiML/1105-quang-ir-mix

status: torndown

timestamp: 2025-11-09T07:41:40+00:00

num_battles: 5697

num_wins: 2822

celo_rating: 1309.65

family_friendly_score: 0.5044

family_friendly_standard_error: 0.007070794014818986

submission_type: basic

model_repo: ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250002

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': 0.3768897498373376, 'latency_mean': 2.653177651166916, 'latency_p50': 2.6335880756378174, 'latency_p90': 2.9046889066696164}, {'batch_size': 2, 'throughput': 0.5621609602714916, 'latency_mean': 3.556494619846344, 'latency_p50': 3.5467143058776855, 'latency_p90': 3.9052966833114624}, {'batch_size': 3, 'throughput': 0.6823267510029243, 'latency_mean': 4.386043276786804, 'latency_p50': 4.387437224388123, 'latency_p90': 4.952290463447571}, {'batch_size': 4, 'throughput': 0.7744811848637545, 'latency_mean': 5.147319873571396, 'latency_p50': 5.151666641235352, 'latency_p90': 5.7818443775177}, {'batch_size': 5, 'throughput': 0.830813790195558, 'latency_mean': 5.98822810292244, 'latency_p50': 6.0063982009887695, 'latency_p90': 6.824748110771179}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250002

model_size: 24B

ranking_group: single

throughput_3p7s: 0.59

us_pacific_date: 2025-11-05

win_ratio: 0.4953484289977181

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>', 'You:', '####\n', '####', '\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
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-1105-quang-ir-mi-11722-v1-mkmlizer
Waiting for job on chaiml-1105-quang-ir-mi-11722-v1-mkmlizer to finish
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║                                                                     ║
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chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: Downloaded to shared memory in 56.958s
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: Checking if ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250002 already exists in ChaiML
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyqk7ag98, device:0
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: quantized model in 42.238s
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: Processed model ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250002 in 99.196s
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia/config.json
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia/special_tokens_map.json
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia/tokenizer_config.json
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia/tokenizer.json
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia/flywheel_model.1.safetensors
chaiml-1105-quang-ir-mi-11722-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-11722-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-1105-quang-ir-mi-11722-v1-mkmlizer completed after 155.18s with status: succeeded
Stopping job with name chaiml-1105-quang-ir-mi-11722-v1-mkmlizer
Pipeline stage MKMLizer completed in 155.87s
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Inference service chaiml-1105-quang-ir-mi-11722-v1 ready after 160.88392186164856s
Pipeline stage MKMLDeployer completed in 162.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.4702072143554688s
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Received healthy response to inference request in 2.384751796722412s
Received healthy response to inference request in 2.443485975265503s
5 requests
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5th percentile: 2.197425937652588
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20th percentile: 2.337920331954956
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80th percentile: 2.4848680973052977
90th percentile: 2.514189863204956
95th percentile: 2.5288507461547853
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mean time: 2.398510217666626
Pipeline stage StressChecker completed in 13.41s
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