chaiml-mn24b-v2preferwi_94085

developer_uid: ChaiHarshitSheoran
submission_id: chaiml-mn24b-v2preferwi_94085_v3
model_name: chaiml-mn24b-v2preferwi_94085_v3
model_group: ChaiML/mn24b_v2preferwin
status: torndown
timestamp: 2025-09-18T02:52:31+00:00
num_battles: 6043
num_wins: 3223
celo_rating: 1285.12
family_friendly_score: 0.5054000000000001
family_friendly_standard_error: 0.007070655415164849
submission_type: basic
model_repo: ChaiML/mn24b_v2preferwin2_prod_tune5
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5482676199581787, 'latency_mean': 1.8238273525238038, 'latency_p50': 1.8172727823257446, 'latency_p90': 2.0385255098342894}, {'batch_size': 3, 'throughput': 1.105432080631509, 'latency_mean': 2.7031365382671355, 'latency_p50': 2.7014989852905273, 'latency_p90': 2.9599021911621093}, {'batch_size': 5, 'throughput': 1.4160905236531687, 'latency_mean': 3.50429753780365, 'latency_p50': 3.5186455249786377, 'latency_p90': 3.943270945549011}, {'batch_size': 6, 'throughput': 1.5186660794023645, 'latency_mean': 3.9240055215358733, 'latency_p50': 3.941746950149536, 'latency_p90': 4.439716029167175}, {'batch_size': 8, 'throughput': 1.686192464380379, 'latency_mean': 4.714696433544159, 'latency_p50': 4.736039638519287, 'latency_p90': 5.376622009277344}, {'batch_size': 10, 'throughput': 1.7673073981708063, 'latency_mean': 5.609701251983642, 'latency_p50': 5.6122201681137085, 'latency_p90': 6.441290402412415}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mn24b-v2preferwi_94085_v3
is_internal_developer: False
language_model: ChaiML/mn24b_v2preferwin2_prod_tune5
model_size: 24B
ranking_group: single
throughput_3p7s: 1.48
us_pacific_date: 2025-09-17
win_ratio: 0.533344365381433
generation_params: {'temperature': 0.7, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{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-mn24b-v2preferwi-94085-v3-mkmlizer
Waiting for job on chaiml-mn24b-v2preferwi-94085-v3-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', '')
1 validation error for RewardSubmission
platform
  Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for RewardSubmission
platform
  Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for RewardSubmission
platform
  Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for RewardSubmission
platform
  Input should be 'reward' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission
platform
  Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission
platform
  Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission
platform
  Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
1 validation error for NemoGuardSubmission
platform
  Input should be 'nemo_guard' [type=literal_error, input_value='coreweave/mkml', input_type=str]
    For further information visit https://errors.pydantic.dev/2.11/v/literal_error
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-mn24b-v2preferwi-94085-v5-mkmlizer
Waiting for job on chaiml-mn24b-v2preferwi-94085-v5-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-mn24b-v2preferwi-94085-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║                                                                     ║
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chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  belonging to:                                                      ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║                                                                     ║
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chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  belonging to:                                                      ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: Downloaded to shared memory in 59.013s
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: Checking if ChaiML/mn24b_v2preferwin2_prod_tune5 already exists in ChaiML
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpe1k8l1_t, device:0
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: Downloaded to shared memory in 48.615s
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: Checking if ChaiML/mn24b_v2preferwin2_prod_tune5 already exists in ChaiML
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpmlup103u, device:0
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: quantized model in 288.878s
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: Processed model ChaiML/mn24b_v2preferwin2_prod_tune5 in 347.891s
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia/config.json
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia/special_tokens_map.json
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia/tokenizer_config.json
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia/tokenizer.json
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: quantized model in 287.671s
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: Processed model ChaiML/mn24b_v2preferwin2_prod_tune5 in 336.286s
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia/config.json
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia/special_tokens_map.json
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia/tokenizer_config.json
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia/tokenizer.json
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia/flywheel_model.1.safetensors
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia/flywheel_model.1.safetensors
chaiml-mn24b-v2preferwi-94085-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v5/nvidia/flywheel_model.0.safetensors
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Job chaiml-mn24b-v2preferwi-94085-v5-mkmlizer completed after 431.04s with status: succeeded
Stopping job with name chaiml-mn24b-v2preferwi-94085-v5-mkmlizer
Pipeline stage MKMLizer completed in 431.98s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.21s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mn24b-v2preferwi-94085-v5
Waiting for inference service chaiml-mn24b-v2preferwi-94085-v5 to be ready
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwi-94085-v3/nvidia/flywheel_model.0.safetensors
chaiml-mn24b-v2preferwi-94085-v3-mkmlizer: 
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Job chaiml-mn24b-v2preferwi-94085-v3-mkmlizer completed after 461.91s with status: succeeded
Stopping job with name chaiml-mn24b-v2preferwi-94085-v3-mkmlizer
Pipeline stage MKMLizer completed in 462.53s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.23s
run pipeline stage %s
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', '')
Running pipeline stage MKMLDeployer
Creating inference service chaiml-mn24b-v2preferwi-94085-v3
Waiting for inference service chaiml-mn24b-v2preferwi-94085-v3 to be ready
Inference service chaiml-mn24b-v2preferwi-94085-v5 ready after 50.265907526016235s
Pipeline stage MKMLDeployer completed in 51.12s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1660966873168945s
Received healthy response to inference request in 1.5198655128479004s
Received healthy response to inference request in 1.7916195392608643s
Received healthy response to inference request in 1.641413927078247s
Received healthy response to inference request in 1.684464454650879s
5 requests
0 failed requests
5th percentile: 1.5441751956939698
10th percentile: 1.5684848785400392
20th percentile: 1.6171042442321777
30th percentile: 1.6500240325927735
40th percentile: 1.6672442436218262
50th percentile: 1.684464454650879
60th percentile: 1.7273264884948731
70th percentile: 1.7701885223388671
80th percentile: 1.8665149688720704
Inference service chaiml-mn24b-v2preferwi-94085-v3 ready after 60.58273649215698s
90th percentile: 2.0163058280944823
Pipeline stage MKMLDeployer completed in 61.47s
95th percentile: 2.091201257705688
run pipeline stage %s
99th percentile: 2.1511176013946534
Running pipeline stage StressChecker
mean time: 1.760692024230957
Pipeline stage StressChecker completed in 12.73s
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 1.03s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
run_pipeline:run_in_cloud %s
Received healthy response to inference request in 1.9002158641815186s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 1.06s
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_94085_v5 status is now deployed due to DeploymentManager action
Received healthy response to inference request in 1.247067928314209s
Received healthy response to inference request in 1.600226879119873s
Received healthy response to inference request in 1.6521480083465576s
Received healthy response to inference request in 1.6595067977905273s
5 requests
0 failed requests
5th percentile: 1.3176997184753418
10th percentile: 1.3883315086364747
20th percentile: 1.5295950889587402
30th percentile: 1.6106111049652099
40th percentile: 1.6313795566558837
50th percentile: 1.6521480083465576
60th percentile: 1.6550915241241455
70th percentile: 1.6580350399017334
80th percentile: 1.7076486110687257
90th percentile: 1.8039322376251221
95th percentile: 1.8520740509033202
99th percentile: 1.8905875015258788
mean time: 1.611833095550537
Pipeline stage StressChecker completed in 10.60s
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 0.84s
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 1.00s
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_94085_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 0.12s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-mn24b-v2preferwi-94085-v3-profiler
Waiting for inference service chaiml-mn24b-v2preferwi-94085-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 2661.08s
Shutdown handler de-registered
chaiml-mn24b-v2preferwi_94085_v3 status is now inactive due to auto deactivation removed underperforming models
chaiml-mn24b-v2preferwi_94085_v3 status is now torndown due to DeploymentManager action