developer_uid: qdv206
submission_id: chaiml-1030-quang-ir-lt_35485_v2
model_name: training123
model_group: ChaiML/1030-quang-ir-ltr
status: torndown
timestamp: 2025-11-02T22:41:16+00:00
num_battles: 5647
num_wins: 2770
celo_rating: 1274.4
family_friendly_score: 0.47740000000000005
family_friendly_standard_error: 0.007063840881560117
submission_type: basic
model_repo: ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b001
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': 0.45848291791569135, 'latency_mean': 2.1809842979907987, 'latency_p50': 2.1864333152770996, 'latency_p90': 2.3817448377609254}, {'batch_size': 2, 'throughput': 0.6700881801206813, 'latency_mean': 2.9844355034828185, 'latency_p50': 3.003652334213257, 'latency_p90': 3.236242890357971}, {'batch_size': 3, 'throughput': 0.8078838525351786, 'latency_mean': 3.7099070930480957, 'latency_p50': 3.7185739278793335, 'latency_p90': 3.9853912830352782}, {'batch_size': 4, 'throughput': 0.9055728455651418, 'latency_mean': 4.400369752645492, 'latency_p50': 4.369153738021851, 'latency_p90': 5.140506410598755}, {'batch_size': 5, 'throughput': 0.9605775451237043, 'latency_mean': 5.177848365306854, 'latency_p50': 5.167824983596802, 'latency_p90': 5.966529583930969}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: False
language_model: ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b001
model_size: 24B
ranking_group: single
throughput_3p7s: 0.81
us_pacific_date: 2025-10-30
win_ratio: 0.4905259429785727
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.01, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.4, 'stopping_words': ['\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-1030-quang-ir-lt-35485-v2-mkmlizer
Waiting for job on chaiml-1030-quang-ir-lt-35485-v2-mkmlizer to finish
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║   ░███░█████░███   ░███  ███     ░███                               ║
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chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ║                                                                     ║
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: Downloaded to shared memory in 53.052s
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: Checking if ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b001 already exists in ChaiML
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpodtq8_p2, device:0
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: quantized model in 289.733s
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: Processed model ChaiML/1030-quang-ir-ltry-mix3-maxb3-10k-dpo_1e5b001 in 342.785s
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia/config.json
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia/special_tokens_map.json
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia/tokenizer_config.json
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia/tokenizer.json
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia/flywheel_model.0.safetensors
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1030-quang-ir-lt-35485-v2/nvidia/flywheel_model.1.safetensors
chaiml-1030-quang-ir-lt-35485-v2-mkmlizer: 
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Job chaiml-1030-quang-ir-lt-35485-v2-mkmlizer completed after 379.09s with status: succeeded
Stopping job with name chaiml-1030-quang-ir-lt-35485-v2-mkmlizer
Pipeline stage MKMLizer completed in 380.00s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.16s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-1030-quang-ir-lt-35485-v2
Waiting for inference service chaiml-1030-quang-ir-lt-35485-v2 to be ready
Failed to get response for submission mistralai-mistral-nem_93303_v569: ('http://mistralai-mistral-nem-93303-v569-predictor.tenant-chaiml-guanaco.k2.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service chaiml-1030-quang-ir-lt-35485-v2 ready after 120.83585572242737s
Pipeline stage MKMLDeployer completed in 121.67s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0952632427215576s
Received healthy response to inference request in 1.7455177307128906s
Received healthy response to inference request in 2.073873519897461s
read tcp 127.0.0.1:57206->127.0.0.1:8080: read: connection reset by peer

Received unhealthy response to inference request!
Received healthy response to inference request in 2.231907844543457s
5 requests
1 failed requests
5th percentile: 0.47701530456542973
10th percentile: 0.794140911102295
20th percentile: 1.4283921241760256
30th percentile: 1.8111888885498046
40th percentile: 1.942531204223633
50th percentile: 2.073873519897461
60th percentile: 2.0824294090270996
70th percentile: 2.0909852981567383
80th percentile: 2.1225921630859377
90th percentile: 2.1772500038146974
95th percentile: 2.204578924179077
99th percentile: 2.226442060470581
mean time: 1.6612904071807861
%s, retrying in %s seconds...
Received healthy response to inference request in 2.409514904022217s
Received healthy response to inference request in 1.711169958114624s
Received healthy response to inference request in 1.7256512641906738s
Received healthy response to inference request in 1.6678526401519775s
Received healthy response to inference request in 1.662175178527832s
5 requests
0 failed requests
5th percentile: 1.663310670852661
10th percentile: 1.6644461631774903
20th percentile: 1.6667171478271485
30th percentile: 1.6765161037445069
40th percentile: 1.6938430309295653
50th percentile: 1.711169958114624
60th percentile: 1.7169624805450439
70th percentile: 1.722755002975464
80th percentile: 1.8624239921569825
90th percentile: 2.1359694480895994
95th percentile: 2.272742176055908
99th percentile: 2.3821603584289552
mean time: 1.8352727890014648
Pipeline stage StressChecker completed in 20.04s
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 0.67s
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 1.15s
Shutdown handler de-registered
chaiml-1030-quang-ir-lt_35485_v2 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 0.14s
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-1030-quang-ir-lt-35485-v2-profiler
Waiting for inference service chaiml-1030-quang-ir-lt-35485-v2-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 2930.23s
Shutdown handler de-registered
chaiml-1030-quang-ir-lt_35485_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-1030-quang-ir-lt_35485_v2 status is now torndown due to DeploymentManager action