developer_uid: zonemercy
submission_id: chaiml-ir-v4-1-dpo-irv0_48911_v8
model_name: test
model_group: ChaiML/ir-v4-1-dpo_irv0-
status: torndown
timestamp: 2025-11-04T06:41:12+00:00
num_battles: 5774
num_wins: 2871
celo_rating: 1292.33
family_friendly_score: 0.4586
family_friendly_standard_error: 0.007046787069296192
submission_type: basic
model_repo: ChaiML/ir-v4-1-dpo_irv0-lr5e6b01-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': 0.4625746751949814, 'latency_mean': 2.161707580089569, 'latency_p50': 2.1650859117507935, 'latency_p90': 2.348462700843811}, {'batch_size': 2, 'throughput': 0.6800530619233445, 'latency_mean': 2.937204428911209, 'latency_p50': 2.954363465309143, 'latency_p90': 3.154203748703003}, {'batch_size': 3, 'throughput': 0.8187355426801968, 'latency_mean': 3.659621682167053, 'latency_p50': 3.6516002416610718, 'latency_p90': 4.051960682868957}, {'batch_size': 4, 'throughput': 0.9174885001786501, 'latency_mean': 4.3394128036499025, 'latency_p50': 4.33649468421936, 'latency_p90': 4.9289062976837155}, {'batch_size': 5, 'throughput': 0.9838612289678195, 'latency_mean': 5.064506855010986, 'latency_p50': 5.036703944206238, 'latency_p90': 5.660288763046265}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/ir-v4-1-dpo_irv0-lr5e6b01-cosine
model_size: 24B
ranking_group: single
throughput_3p7s: 0.83
us_pacific_date: 2025-10-31
win_ratio: 0.49722895739521994
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:', 'User:', '</s>', '\n'], '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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer
Waiting for job on chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer to finish
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║                                                                     ║
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chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║                                                                     ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║                                                                     ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  belonging to:                                                      ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║                                                                     ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ║                                                                     ║
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: Downloaded to shared memory in 46.383s
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: Checking if ChaiML/ir-v4-1-dpo_irv0-lr5e6b01-cosine already exists in ChaiML
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpgxmencmy, device:0
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: quantized model in 286.775s
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: Processed model ChaiML/ir-v4-1-dpo_irv0-lr5e6b01-cosine in 333.158s
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia/config.json
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia/tokenizer_config.json
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia/special_tokens_map.json
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia/tokenizer.json
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia/flywheel_model.1.safetensors
chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-48911-v8/nvidia/flywheel_model.0.safetensors
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Job chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer completed after 479.28s with status: succeeded
Stopping job with name chaiml-ir-v4-1-dpo-irv0-48911-v8-mkmlizer
Pipeline stage MKMLizer completed in 480.03s
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-ir-v4-1-dpo-irv0-48911-v8
Waiting for inference service chaiml-ir-v4-1-dpo-irv0-48911-v8 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-v4-1-dpo-irv0-48911-v8 ready after 130.74810242652893s
Pipeline stage MKMLDeployer completed in 131.32s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.399095058441162s
Received healthy response to inference request in 1.9179227352142334s
Received healthy response to inference request in 1.7319130897521973s
Received healthy response to inference request in 1.708167552947998s
Received healthy response to inference request in 1.80387544631958s
5 requests
0 failed requests
5th percentile: 1.712916660308838
10th percentile: 1.7176657676696778
20th percentile: 1.7271639823913574
30th percentile: 1.746305561065674
40th percentile: 1.775090503692627
50th percentile: 1.80387544631958
60th percentile: 1.8494943618774413
70th percentile: 1.8951132774353028
80th percentile: 2.014157199859619
90th percentile: 2.206626129150391
95th percentile: 2.3028605937957765
99th percentile: 2.379848165512085
mean time: 1.9121947765350342
Pipeline stage StressChecker completed in 11.31s
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 0.70s
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 0.66s
Shutdown handler de-registered
chaiml-ir-v4-1-dpo-irv0_48911_v8 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 0.10s
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-ir-v4-1-dpo-irv0-48911-v8-profiler
Waiting for inference service chaiml-ir-v4-1-dpo-irv0-48911-v8-profiler to be ready
Inference service chaiml-ir-v4-1-dpo-irv0-48911-v8-profiler ready after 130.97241854667664s
Pipeline stage MKMLProfilerDeployer completed in 131.54s
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-v4-1-dpo-i8447b07046e76fca48af1c0fd27e3287-deplojkbzh:/code/chaiverse_profiler_1761975513 --namespace tenant-chaiml-guanaco
kubectl --kubeconfig /code/guanaco/guanaco_services/resources/kchai_coreweave_us_east_04a.yaml exec -it chaiml-ir-v4-1-dpo-i8447b07046e76fca48af1c0fd27e3287-deplojkbzh --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1761975513 && 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_1761975513/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 3000.40s
Shutdown handler de-registered
chaiml-ir-v4-1-dpo-irv0_48911_v8 status is now inactive due to auto deactivation removed underperforming models
chaiml-ir-v4-1-dpo-irv0_48911_v8 status is now torndown due to DeploymentManager action