developer_uid: chai_backend_admin
submission_id: chaiml-ir-v3-2-dpo-irv1_97050_v1
model_name: training123
model_group: ChaiML/ir-v3-2-dpo_irv13
status: torndown
timestamp: 2025-11-17T09:36:26+00:00
num_battles: 5824
num_wins: 2982
celo_rating: 1294.63
family_friendly_score: 0.4306
family_friendly_standard_error: 0.00700262293715719
submission_type: basic
model_repo: ChaiML/ir-v3-2-dpo_irv13-cosine
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': 0.3810421644429086, 'latency_mean': 2.624260063171387, 'latency_p50': 2.6264654397964478, 'latency_p90': 2.8611769914627074}, {'batch_size': 2, 'throughput': 0.5652964326661853, 'latency_mean': 3.5370804965496063, 'latency_p50': 3.5476815700531006, 'latency_p90': 3.9439963817596433}, {'batch_size': 3, 'throughput': 0.6900069440282843, 'latency_mean': 4.332494753599167, 'latency_p50': 4.331075310707092, 'latency_p90': 4.705110621452332}, {'batch_size': 4, 'throughput': 0.7822842747487743, 'latency_mean': 5.090056947469711, 'latency_p50': 5.087775826454163, 'latency_p90': 5.766833567619324}, {'batch_size': 5, 'throughput': 0.8419840226964131, 'latency_mean': 5.9118973004817965, 'latency_p50': 5.938517451286316, 'latency_p90': 6.740889811515808}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: training123
is_internal_developer: True
language_model: ChaiML/ir-v3-2-dpo_irv13-cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.6
us_pacific_date: 2025-11-14
win_ratio: 0.5120192307692307
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': ['\n', 'User:', '</s>', 'You:'], 'max_input_tokens': 2048, '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer
Waiting for job on chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer to finish
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║                                                                     ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  ░░██████ ██████  ░░███   ███░  ░░███                               ║
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chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║   ░███      ░███   ░███ ░░███    ░███                               ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║                                                                     ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║                                                                     ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║                                                                     ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ║                                                                     ║
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: Downloaded to shared memory in 77.381s
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: Checking if ChaiML/ir-v3-2-dpo_irv13-cosine already exists in ChaiML
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk7xly2_3, device:0
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: quantized model in 42.376s
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: Processed model ChaiML/ir-v3-2-dpo_irv13-cosine in 119.757s
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia/special_tokens_map.json
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia/config.json
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia/tokenizer_config.json
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia/tokenizer.json
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia/flywheel_model.1.safetensors
chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ir-v3-2-dpo-irv1-97050-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer completed after 172.56s with status: succeeded
Stopping job with name chaiml-ir-v3-2-dpo-irv1-97050-v1-mkmlizer
Pipeline stage MKMLizer completed in 173.11s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.56s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-ir-v3-2-dpo-irv1-97050-v1
Waiting for inference service chaiml-ir-v3-2-dpo-irv1-97050-v1 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-ir-v3-2-dpo-irv1-97050-v1 ready after 151.07135701179504s
Pipeline stage MKMLDeployer completed in 151.79s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.541926145553589s
Received healthy response to inference request in 2.1284918785095215s
Received healthy response to inference request in 2.2845242023468018s
Received healthy response to inference request in 2.5421698093414307s
Received healthy response to inference request in 2.3599700927734375s
5 requests
0 failed requests
5th percentile: 2.1596983432769776
10th percentile: 2.1909048080444338
20th percentile: 2.2533177375793456
30th percentile: 2.299613380432129
40th percentile: 2.3297917366027834
50th percentile: 2.3599700927734375
60th percentile: 2.432752513885498
70th percentile: 2.5055349349975584
80th percentile: 2.5419748783111573
90th percentile: 2.5420723438262938
95th percentile: 2.542121076583862
99th percentile: 2.542160062789917
mean time: 2.371416425704956
Pipeline stage StressChecker completed in 13.11s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
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starting trigger_guanaco_pipeline args=%s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.78s
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Running pipeline stage TriggerMKMLProfilingPipeline
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starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
Shutdown handler de-registered
chaiml-ir-v3-2-dpo-irv1_97050_v1 status is now deployed due to DeploymentManager action
Shutdown handler registered
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Running pipeline stage MKMLProfilerDeleter
Skipping teardown as no inference service was successfully deployed
Pipeline stage MKMLProfilerDeleter completed in 0.09s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.08s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler
Waiting for inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler to be ready
Inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler ready after 151.24169492721558s
Pipeline stage MKMLProfilerDeployer completed in 151.92s
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-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplowqjsx:/code/chaiverse_profiler_1763107036 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplowqjsx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1763107036 && 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 2048 --output_tokens 64 --summary /code/chaiverse_profiler_1763107036/summary.json'
%s, retrying in %s seconds...
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-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplowqjsx:/code/chaiverse_profiler_1763107882 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplowqjsx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1763107882 && 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 2048 --output_tokens 64 --summary /code/chaiverse_profiler_1763107882/summary.json'
%s, retrying in %s seconds...
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-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplowqjsx:/code/chaiverse_profiler_1763109214 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplowqjsx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1763109214 && 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 2048 --output_tokens 64 --summary /code/chaiverse_profiler_1763109214/summary.json'
Received signal 15, running shutdown handler
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Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler is running
Tearing down inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler
Service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 0.76s
Shutdown handler de-registered
Shutdown handler registered
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run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler is running
Skipping teardown as no inference service was found
Pipeline stage MKMLProfilerDeleter completed in 0.89s
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Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.10s
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Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler
Waiting for inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler to be ready
Inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler ready after 90.67630052566528s
Pipeline stage MKMLProfilerDeployer completed in 91.18s
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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-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplo8sqm9:/code/chaiverse_profiler_1763110650 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplo8sqm9 --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1763110650 && 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 2048 --output_tokens 64 --summary /code/chaiverse_profiler_1763110650/summary.json'
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-ir-v3-2-dpo-i8683c84e814b5ce8d08dfe51496706eb-deplo8sqm9 --namespace tenant-chaiml-guanaco -- bash -c 'cat /code/chaiverse_profiler_1763110650/summary.json'
Pipeline stage MKMLProfilerRunner completed in 1666.67s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler is running
Tearing down inference service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler
Service chaiml-ir-v3-2-dpo-irv1-97050-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 0.64s
Shutdown handler de-registered
chaiml-ir-v3-2-dpo-irv1_97050_v1 status is now inactive due to auto deactivation removed underperforming models
chaiml-ir-v3-2-dpo-irv1_97050_v1 status is now torndown due to DeploymentManager action