developer_uid: zonemercy
submission_id: chaiml-ir-v4-1-dpo-irv0_40057_v2
model_name: test
model_group: ChaiML/ir-v4-1-dpo_irv0-
status: torndown
timestamp: 2025-11-01T20:26:23+00:00
num_battles: 6087
num_wins: 3190
celo_rating: 1299.78
family_friendly_score: 0.4746
family_friendly_standard_error: 0.007061937977637583
submission_type: basic
model_repo: ChaiML/ir-v4-1-dpo_irv0-lr5e6b01
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': 0.45980707471461485, 'latency_mean': 2.1747040271759035, 'latency_p50': 2.179935932159424, 'latency_p90': 2.3708165645599366}, {'batch_size': 2, 'throughput': 0.6575396844644658, 'latency_mean': 3.031543003320694, 'latency_p50': 3.063615322113037, 'latency_p90': 3.248797821998596}, {'batch_size': 3, 'throughput': 0.7951215597630907, 'latency_mean': 3.7600505888462066, 'latency_p50': 3.743876576423645, 'latency_p90': 4.117687034606933}, {'batch_size': 4, 'throughput': 0.8891120594843912, 'latency_mean': 4.482571338415146, 'latency_p50': 4.485179781913757, 'latency_p90': 5.147478199005127}, {'batch_size': 5, 'throughput': 0.9439711524059304, 'latency_mean': 5.275705395936966, 'latency_p50': 5.296397566795349, 'latency_p90': 6.060939288139343}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/ir-v4-1-dpo_irv0-lr5e6b01
model_size: 24B
ranking_group: single
throughput_3p7s: 0.79
us_pacific_date: 2025-10-29
win_ratio: 0.5240676852308198
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': ['User:', '\n', '</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
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer
Waiting for job on chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer to finish
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ║
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chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ░███ ░███ ░███ ░░███ ░███ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ Version: 0.30.2 ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ belonging to: ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ║ ║
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: Downloaded to shared memory in 46.927s
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: Checking if ChaiML/ir-v4-1-dpo_irv0-lr5e6b01 already exists in ChaiML
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpske0vugh, device:0
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: quantized model in 285.479s
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: Processed model ChaiML/ir-v4-1-dpo_irv0-lr5e6b01 in 332.406s
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia/config.json
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia/special_tokens_map.json
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia/tokenizer_config.json
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia/tokenizer.json
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia/flywheel_model.1.safetensors
chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-ir-v4-1-dpo-irv0-40057-v2/nvidia/flywheel_model.0.safetensors
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Job chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer completed after 411.25s with status: succeeded
Stopping job with name chaiml-ir-v4-1-dpo-irv0-40057-v2-mkmlizer
Pipeline stage MKMLizer completed in 411.99s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.14s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-ir-v4-1-dpo-irv0-40057-v2
Waiting for inference service chaiml-ir-v4-1-dpo-irv0-40057-v2 to be ready
Failed to get response for submission chaiml-iterative-rm-par_66559_v7: HTTPConnectionPool(host='chaiml-iterative-rm-par-66559-v7-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-ir-v4-1-dpo-irv0-40057-v2 ready after 111.25908493995667s
Pipeline stage MKMLDeployer completed in 111.84s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4519901275634766s
Received healthy response to inference request in 1.6952276229858398s
Received healthy response to inference request in 2.391279697418213s
Received healthy response to inference request in 1.7546353340148926s
Received healthy response to inference request in 2.5690691471099854s
5 requests
0 failed requests
5th percentile: 1.7071091651916503
10th percentile: 1.7189907073974608
20th percentile: 1.742753791809082
30th percentile: 1.8819642066955566
40th percentile: 2.1366219520568848
50th percentile: 2.391279697418213
60th percentile: 2.415563869476318
70th percentile: 2.439848041534424
80th percentile: 2.4754059314727783
90th percentile: 2.522237539291382
95th percentile: 2.5456533432006836
99th percentile: 2.564385986328125
mean time: 2.1724403858184815
Pipeline stage StressChecker completed in 12.25s
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 0.63s
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 0.64s
Shutdown handler de-registered
chaiml-ir-v4-1-dpo-irv0_40057_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 0.11s
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-ir-v4-1-dpo-irv0-40057-v2-profiler
Waiting for inference service chaiml-ir-v4-1-dpo-irv0-40057-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
Pipeline stage OfflineFamilyFriendlyScorer completed in 3261.86s
Shutdown handler de-registered
chaiml-ir-v4-1-dpo-irv0_40057_v2 status is now inactive due to auto deactivation removed underperforming models
chaiml-ir-v4-1-dpo-irv0_40057_v2 status is now torndown due to DeploymentManager action