chaiml-1105-quang-ir-mi_89329

developer_uid: qdv206
submission_id: chaiml-1105-quang-ir-mi_89329_v3
model_name: training123
model_group: ChaiML/1105-quang-ir-mix
status: torndown
timestamp: 2025-11-11T01:41:40+00:00
num_battles: 5570
num_wins: 2833
celo_rating: 1295.95
family_friendly_score: 0.5052
family_friendly_standard_error: 0.007070685398177464
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': 0.45864972587678676, 'latency_mean': 2.1801908767223357, 'latency_p50': 2.2008999586105347, 'latency_p90': 2.37524528503418}, {'batch_size': 2, 'throughput': 0.6741777277419354, 'latency_mean': 2.961222177743912, 'latency_p50': 2.9522242546081543, 'latency_p90': 3.1987979412078857}, {'batch_size': 3, 'throughput': 0.8125775910311637, 'latency_mean': 3.686256841421127, 'latency_p50': 3.6747723817825317, 'latency_p90': 4.163000464439392}, {'batch_size': 4, 'throughput': 0.9047603188702534, 'latency_mean': 4.40828399181366, 'latency_p50': 4.429616093635559, 'latency_p90': 5.003485083580017}, {'batch_size': 5, 'throughput': 0.9708737673055153, 'latency_mean': 5.134750283956528, 'latency_p50': 5.132195949554443, 'latency_p90': 5.866493678092956}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: False
language_model: ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003
model_size: 24B
ranking_group: single
throughput_3p7s: 0.82
us_pacific_date: 2025-11-07
win_ratio: 0.5086175942549371
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', '\n', '</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-1105-quang-ir-mi-89329-v3-mkmlizer
Waiting for job on chaiml-1105-quang-ir-mi-89329-v3-mkmlizer to finish
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║                                                                     ║
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chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ║                                                                     ║
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: Downloaded to shared memory in 54.542s
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: Checking if ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003 already exists in ChaiML
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpta6bfvl2, device:0
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: quantized model in 287.067s
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: Processed model ChaiML/1105-quang-ir-mixall-cld-i8a8-hl-mult-f250003 in 341.610s
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia/special_tokens_map.json
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia/config.json
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia/tokenizer_config.json
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia/tokenizer.json
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia/flywheel_model.1.safetensors
chaiml-1105-quang-ir-mi-89329-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1105-quang-ir-mi-89329-v3/nvidia/flywheel_model.0.safetensors
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Job chaiml-1105-quang-ir-mi-89329-v3-mkmlizer completed after 399.31s with status: succeeded
Stopping job with name chaiml-1105-quang-ir-mi-89329-v3-mkmlizer
Pipeline stage MKMLizer completed in 399.93s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1105-quang-ir-mi-89329-v3
Waiting for inference service chaiml-1105-quang-ir-mi-89329-v3 to be ready
Inference service chaiml-1105-quang-ir-mi-89329-v3 ready after 180.88656854629517s
Pipeline stage MKMLDeployer completed in 181.69s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.193864583969116s
Received healthy response to inference request in 1.8563177585601807s
Received healthy response to inference request in 1.7375221252441406s
Received healthy response to inference request in 1.8171145915985107s
Received healthy response to inference request in 1.6706726551055908s
5 requests
0 failed requests
5th percentile: 1.6840425491333009
10th percentile: 1.6974124431610107
20th percentile: 1.7241522312164306
30th percentile: 1.7534406185150146
40th percentile: 1.7852776050567627
50th percentile: 1.8171145915985107
60th percentile: 1.8327958583831787
70th percentile: 1.8484771251678467
80th percentile: 1.923827123641968
90th percentile: 2.058845853805542
95th percentile: 2.126355218887329
99th percentile: 2.1803627109527586
mean time: 1.855098342895508
Pipeline stage StressChecker completed in 10.80s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.69s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
Shutdown handler de-registered
chaiml-1105-quang-ir-mi_89329_v3 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.15s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-1105-quang-ir-mi-89329-v3-profiler
Waiting for inference service chaiml-1105-quang-ir-mi-89329-v3-profiler to be ready
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2958.82s
Shutdown handler de-registered
chaiml-1105-quang-ir-mi_89329_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-1105-quang-ir-mi_89329_v3 status is now torndown due to DeploymentManager action