chaiml-mn24b-v2preferwin_3050

developer_uid: ChaiHarshitSheoran
submission_id: chaiml-mn24b-v2preferwin_3050_v1
model_name: chaiml-mn24b-v2preferwin_3050_v1
model_group: ChaiML/mn24b_v2preferwin
status: torndown
timestamp: 2025-09-13T17:57:15+00:00
num_battles: 7873
num_wins: 4158
celo_rating: 1271.63
family_friendly_score: 0.5860000000000001
family_friendly_standard_error: 0.006965687331484238
submission_type: basic
model_repo: ChaiML/mn24b_v2preferwin1syn1_tune16
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': 0.5537463301715874, 'latency_mean': 1.805778626203537, 'latency_p50': 1.8087475299835205, 'latency_p90': 2.0115083694458007}, {'batch_size': 3, 'throughput': 1.1311738294495974, 'latency_mean': 2.649245569705963, 'latency_p50': 2.634969472885132, 'latency_p90': 2.9505792379379274}, {'batch_size': 5, 'throughput': 1.4557103902705926, 'latency_mean': 3.419108852148056, 'latency_p50': 3.4188934564590454, 'latency_p90': 3.8631816148757934}, {'batch_size': 6, 'throughput': 1.5616564532993595, 'latency_mean': 3.8134912025928496, 'latency_p50': 3.837492346763611, 'latency_p90': 4.298276901245117}, {'batch_size': 8, 'throughput': 1.7173755894047833, 'latency_mean': 4.629273226261139, 'latency_p50': 4.655043125152588, 'latency_p90': 5.1959278821945185}, {'batch_size': 10, 'throughput': 1.8157053077987797, 'latency_mean': 5.478556123971939, 'latency_p50': 5.468122363090515, 'latency_p90': 6.350842809677124}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: chaiml-mn24b-v2preferwin_3050_v1
is_internal_developer: False
language_model: ChaiML/mn24b_v2preferwin1syn1_tune16
model_size: 24B
ranking_group: single
throughput_3p7s: 1.54
us_pacific_date: 2025-09-13
win_ratio: 0.52813412930268
generation_params: {'temperature': 0.5, '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': '{prompt}\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-v2preferwin-3050-v1-mkmlizer
Waiting for job on chaiml-mn24b-v2preferwin-3050-v1-mkmlizer to finish
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ║                                                                     ║
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: Downloaded to shared memory in 61.387s
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: Checking if ChaiML/mn24b_v2preferwin1syn1_tune16 already exists in ChaiML
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpx42yno0z, device:0
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: quantized model in 289.226s
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: Processed model ChaiML/mn24b_v2preferwin1syn1_tune16 in 350.614s
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia/config.json
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia/special_tokens_map.json
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia/tokenizer_config.json
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia/tokenizer.json
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia/flywheel_model.1.safetensors
chaiml-mn24b-v2preferwin-3050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-mn24b-v2preferwin-3050-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-mn24b-v2preferwin-3050-v1-mkmlizer completed after 418.71s with status: succeeded
Stopping job with name chaiml-mn24b-v2preferwin-3050-v1-mkmlizer
Pipeline stage MKMLizer completed in 419.25s
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-mn24b-v2preferwin-3050-v1
Waiting for inference service chaiml-mn24b-v2preferwin-3050-v1 to be ready
Inference service chaiml-mn24b-v2preferwin-3050-v1 ready after 40.21393799781799s
Pipeline stage MKMLDeployer completed in 40.78s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2085232734680176s
Received healthy response to inference request in 2.932797431945801s
Received healthy response to inference request in 1.9651877880096436s
Received healthy response to inference request in 1.7506449222564697s
Received healthy response to inference request in 2.0527641773223877s
5 requests
0 failed requests
5th percentile: 1.7935534954071044
10th percentile: 1.8364620685577393
20th percentile: 1.9222792148590089
30th percentile: 1.9827030658721925
40th percentile: 2.01773362159729
50th percentile: 2.0527641773223877
60th percentile: 2.1150678157806397
70th percentile: 2.177371454238892
80th percentile: 2.3533781051635745
90th percentile: 2.6430877685546874
95th percentile: 2.787942600250244
99th percentile: 2.9038264656066892
mean time: 2.1819835186004637
Pipeline stage StressChecker completed in 12.47s
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 0.85s
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 0.65s
Shutdown handler de-registered
chaiml-mn24b-v2preferwin_3050_v1 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-mn24b-v2preferwin-3050-v1-profiler
Waiting for inference service chaiml-mn24b-v2preferwin-3050-v1-profiler to be ready
Inference service chaiml-mn24b-v2preferwin-3050-v1-profiler ready after 60.6009407043457s
Pipeline stage MKMLProfilerDeployer completed in 61.29s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/chaiml-mn24b-v2prefe95e0e75d28e921e518b19e262906eba1-deplogl8rg:/code/chaiverse_profiler_1757786847 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-mn24b-v2prefe95e0e75d28e921e518b19e262906eba1-deplogl8rg --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1757786847 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1757786847/summary.json'
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 2849.34s
Shutdown handler de-registered
chaiml-mn24b-v2preferwin_3050_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-mn24b-v2preferwin_3050_v1 status is now torndown due to DeploymentManager action