chaiml-1106-quang-ir-mi_50119

developer_uid: qdv206
submission_id: chaiml-1106-quang-ir-mi_50119_v2
model_name: training123
model_group: ChaiML/1106-quang-ir-mix
status: torndown
timestamp: 2025-11-09T19:26:43+00:00
num_battles: 6037
num_wins: 3102
celo_rating: 1309.05
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132321ep
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': 0.4653094471058041, 'latency_mean': 2.148994711637497, 'latency_p50': 2.157055616378784, 'latency_p90': 2.3581105709075927}, {'batch_size': 2, 'throughput': 0.6894297429719427, 'latency_mean': 2.8959922182559965, 'latency_p50': 2.877128481864929, 'latency_p90': 3.137668490409851}, {'batch_size': 3, 'throughput': 0.8283510480337115, 'latency_mean': 3.613319790363312, 'latency_p50': 3.6197041273117065, 'latency_p90': 4.011526346206665}, {'batch_size': 4, 'throughput': 0.9326831513069689, 'latency_mean': 4.270796583890915, 'latency_p50': 4.261919140815735, 'latency_p90': 4.9676002025604244}, {'batch_size': 5, 'throughput': 0.9876444218282782, 'latency_mean': 5.046339719295502, 'latency_p50': 5.025919318199158, 'latency_p90': 5.823131203651428}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: False
language_model: ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132321ep
model_size: 24B
ranking_group: single
throughput_3p7s: 0.85
us_pacific_date: 2025-11-06
win_ratio: 0.5138313731986086
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': ['You:', '</s>', '####', '\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-1106-quang-ir-mi-50119-v2-mkmlizer
Waiting for job on chaiml-1106-quang-ir-mi-50119-v2-mkmlizer to finish
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-1106-quang-ir-mi-50119-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║                                                                     ║
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chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ║                                                                     ║
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: Downloaded to shared memory in 58.773s
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: Checking if ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132321ep already exists in ChaiML
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpqggjj8ls, device:0
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: quantized model in 286.952s
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: Processed model ChaiML/1106-quang-ir-mixall-cld-i8a8-hl-mult-f5000-dpo_0132321ep in 345.725s
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia/config.json
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia/special_tokens_map.json
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia/tokenizer_config.json
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia/tokenizer.json
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia/flywheel_model.1.safetensors
chaiml-1106-quang-ir-mi-50119-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-1106-quang-ir-mi-50119-v2/nvidia/flywheel_model.0.safetensors
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Job chaiml-1106-quang-ir-mi-50119-v2-mkmlizer completed after 409.85s with status: succeeded
Stopping job with name chaiml-1106-quang-ir-mi-50119-v2-mkmlizer
Pipeline stage MKMLizer completed in 410.44s
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-1106-quang-ir-mi-50119-v2
Waiting for inference service chaiml-1106-quang-ir-mi-50119-v2 to be ready
Inference service chaiml-1106-quang-ir-mi-50119-v2 ready after 170.94476103782654s
Pipeline stage MKMLDeployer completed in 171.60s
run pipeline stage %s
Running pipeline stage StressChecker
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', '')
Received healthy response to inference request in 2.230340003967285s
Received healthy response to inference request in 1.723609209060669s
Received healthy response to inference request in 1.7304677963256836s
Received healthy response to inference request in 1.6724252700805664s
Received healthy response to inference request in 1.6789093017578125s
5 requests
0 failed requests
5th percentile: 1.6737220764160157
10th percentile: 1.675018882751465
20th percentile: 1.6776124954223632
30th percentile: 1.6878492832183838
40th percentile: 1.7057292461395264
50th percentile: 1.723609209060669
60th percentile: 1.7263526439666748
70th percentile: 1.7290960788726806
80th percentile: 1.830442237854004
90th percentile: 2.0303911209106444
95th percentile: 2.1303655624389646
99th percentile: 2.210345115661621
mean time: 1.8071503162384033
Pipeline stage StressChecker completed in 10.46s
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 0.99s
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 0.70s
Shutdown handler de-registered
chaiml-1106-quang-ir-mi_50119_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 0.09s
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-1106-quang-ir-mi-50119-v2-profiler
Waiting for inference service chaiml-1106-quang-ir-mi-50119-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 5505.98s
Shutdown handler de-registered
chaiml-1106-quang-ir-mi_50119_v2 status is now torndown due to DeploymentManager action