developer_uid: zonemercy
submission_id: chaiml-icld-v1-dpo_v4
model_name: test
model_group: ChaiML/icld-v1-dpo
status: inactive
timestamp: 2025-11-23T09:43:59+00:00
num_battles: 6746
num_wins: 3355
celo_rating: 1287.24
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/icld-v1-dpo
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': 0.4605169070129009, 'latency_mean': 2.1713726437091827, 'latency_p50': 2.1658358573913574, 'latency_p90': 2.3791165351867676}, {'batch_size': 2, 'throughput': 0.6736576009255648, 'latency_mean': 2.965350328683853, 'latency_p50': 2.9639123678207397, 'latency_p90': 3.2429783821105955}, {'batch_size': 3, 'throughput': 0.8154984382538324, 'latency_mean': 3.664415317773819, 'latency_p50': 3.6590925455093384, 'latency_p90': 4.11103389263153}, {'batch_size': 4, 'throughput': 0.9108809217677876, 'latency_mean': 4.372125061750412, 'latency_p50': 4.361860513687134, 'latency_p90': 5.061277866363525}, {'batch_size': 5, 'throughput': 0.9615235198296511, 'latency_mean': 5.172505344152451, 'latency_p50': 5.2228782176971436, 'latency_p90': 5.807231140136719}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/icld-v1-dpo
model_size: 24B
ranking_group: single
throughput_3p7s: 0.82
us_pacific_date: 2025-11-23
win_ratio: 0.4973317521494219
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': ['</s>', 'You:', 'User:', '\n'], 'max_input_tokens': 2048, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '', '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
Connection pool is full, discarding connection: %s. Connection pool size: %s
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name chaiml-icld-v1-dpo-v4-mkmlizer
Waiting for job on chaiml-icld-v1-dpo-v4-mkmlizer to finish
chaiml-icld-v1-dpo-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-icld-v1-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║   ██████   ██████  █████   ████  ████                               ║
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chaiml-icld-v1-dpo-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-icld-v1-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-icld-v1-dpo-v4-mkmlizer: Downloaded to shared memory in 69.297s
chaiml-icld-v1-dpo-v4-mkmlizer: Checking if ChaiML/icld-v1-dpo already exists in ChaiML
chaiml-icld-v1-dpo-v4-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpjzvphphb, device:0
chaiml-icld-v1-dpo-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission chaiml-02f4-69d4-linear-w01_v8: ('http://guanaco-model-mesh-load-balancer.model-mesh.k2.chaiverse.com/models/chaiml-02f4-69d4-linear-w01_v8/predict', '{"detail":"1 validation error for RuntimeResponse\\npredictions\\n  Field required [type=missing, input_value={\'detail\': \\"503, message=...linear-w01_v8/predict\'\\"}, input_type=dict]\\n    For further information visit https://errors.pydantic.dev/2.11/v/missing"}')
Unable to record family friendly update due to error: Invalid JSON input: Expecting value: line 1 column 1 (char 0)
chaiml-icld-v1-dpo-v4-mkmlizer: quantized model in 285.068s
chaiml-icld-v1-dpo-v4-mkmlizer: Processed model ChaiML/icld-v1-dpo in 354.365s
chaiml-icld-v1-dpo-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-icld-v1-dpo-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-icld-v1-dpo-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia
chaiml-icld-v1-dpo-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia/config.json
chaiml-icld-v1-dpo-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia/special_tokens_map.json
chaiml-icld-v1-dpo-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia/tokenizer_config.json
chaiml-icld-v1-dpo-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia/tokenizer.json
chaiml-icld-v1-dpo-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia/flywheel_model.1.safetensors
chaiml-icld-v1-dpo-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-icld-v1-dpo-v4/nvidia/flywheel_model.0.safetensors
chaiml-icld-v1-dpo-v4-mkmlizer: 
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Job chaiml-icld-v1-dpo-v4-mkmlizer completed after 455.05s with status: succeeded
Stopping job with name chaiml-icld-v1-dpo-v4-mkmlizer
Pipeline stage MKMLizer completed in 456.50s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service chaiml-icld-v1-dpo-v4
Waiting for inference service chaiml-icld-v1-dpo-v4 to be ready
Inference service chaiml-icld-v1-dpo-v4 ready after 151.10747456550598s
Pipeline stage MKMLDeployer completed in 151.79s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.199524402618408s
Received healthy response to inference request in 2.009974241256714s
Received healthy response to inference request in 2.29803204536438s
Received healthy response to inference request in 1.9480619430541992s
Received healthy response to inference request in 1.7488179206848145s
5 requests
0 failed requests
5th percentile: 1.7886667251586914
10th percentile: 1.8285155296325684
20th percentile: 1.9082131385803223
30th percentile: 1.960444402694702
40th percentile: 1.985209321975708
50th percentile: 2.009974241256714
60th percentile: 2.0857943058013917
70th percentile: 2.1616143703460695
80th percentile: 2.2192259311676024
90th percentile: 2.258628988265991
95th percentile: 2.2783305168151857
99th percentile: 2.294091739654541
mean time: 2.040882110595703
Pipeline stage StressChecker completed in 11.64s
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 0.76s
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 0.68s
Shutdown handler de-registered
chaiml-icld-v1-dpo_v4 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 0.09s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service chaiml-icld-v1-dpo-v4-profiler
Waiting for inference service chaiml-icld-v1-dpo-v4-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
%s, retrying in %s seconds...
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4041.80s
Shutdown handler de-registered