chaiml-icld-v2-dpo-b025

developer_uid: chai_backend_admin

submission_id: chaiml-icld-v2-dpo-b025_v1

model_name: training123

model_group: ChaiML/icld-v2-dpo_b025

status: inactive

timestamp: 2025-11-23T12:08:22+00:00

num_battles: 7156

num_wins: 3607

celo_rating: 1298.01

family_friendly_score: 0.5354

family_friendly_standard_error: 0.007053323188398501

submission_type: basic

model_repo: ChaiML/icld-v2-dpo_b025

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': 0.3825068772606248, 'latency_mean': 2.6142327010631563, 'latency_p50': 2.6357730627059937, 'latency_p90': 2.877340817451477}, {'batch_size': 2, 'throughput': 0.5763643156132309, 'latency_mean': 3.4620798194408415, 'latency_p50': 3.453550100326538, 'latency_p90': 3.7577419519424438}, {'batch_size': 3, 'throughput': 0.7161511628502595, 'latency_mean': 4.163045017719269, 'latency_p50': 4.171170234680176, 'latency_p90': 4.6345778703689575}, {'batch_size': 4, 'throughput': 0.8116618954394953, 'latency_mean': 4.9125479793548585, 'latency_p50': 4.88871169090271, 'latency_p90': 5.498704385757446}, {'batch_size': 5, 'throughput': 0.8767116681356427, 'latency_mean': 5.677926659584045, 'latency_p50': 5.678214073181152, 'latency_p90': 6.441101360321045}]

gpu_counts: {'NVIDIA L40S': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/icld-v2-dpo_b025

model_size: 24B

ranking_group: single

throughput_3p7s: 0.63

us_pacific_date: 2025-11-23

win_ratio: 0.5040525433202907

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': '', '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-icld-v2-dpo-b025-v1-mkmlizer
Waiting for job on chaiml-icld-v2-dpo-b025-v1-mkmlizer to finish
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chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║                                                                     ║
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chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v2-dpo-b025-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-icld-v2-dpo-b025-v1-mkmlizer: Downloaded to shared memory in 68.454s
chaiml-icld-v2-dpo-b025-v1-mkmlizer: Checking if ChaiML/icld-v2-dpo_b025 already exists in ChaiML
chaiml-icld-v2-dpo-b025-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpsn7ml7jx, device:0
chaiml-icld-v2-dpo-b025-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-icld-v2-dpo-b025-v1-mkmlizer: quantized model in 42.183s
chaiml-icld-v2-dpo-b025-v1-mkmlizer: Processed model ChaiML/icld-v2-dpo_b025 in 110.638s
chaiml-icld-v2-dpo-b025-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-icld-v2-dpo-b025-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-icld-v2-dpo-b025-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia
chaiml-icld-v2-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia/config.json
chaiml-icld-v2-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia/special_tokens_map.json
chaiml-icld-v2-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia/tokenizer_config.json
chaiml-icld-v2-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia/tokenizer.json
chaiml-icld-v2-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia/flywheel_model.1.safetensors
chaiml-icld-v2-dpo-b025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-icld-v2-dpo-b025-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-icld-v2-dpo-b025-v1-mkmlizer completed after 184.71s with status: succeeded
Stopping job with name chaiml-icld-v2-dpo-b025-v1-mkmlizer
Pipeline stage MKMLizer completed in 185.38s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-icld-v2-dpo-b025-v1
Waiting for inference service chaiml-icld-v2-dpo-b025-v1 to be ready
Failed to get response for submission chaiml-csfs-v5-1-dpo-co_30668_v3: HTTPConnectionPool(host='chaiml-csfs-v5-1-dpo-co-30668-v3-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Failed to get response for submission chaiml-csfs-v5-1-dpo-co_30668_v3: HTTPConnectionPool(host='chaiml-csfs-v5-1-dpo-co-30668-v3-predictor.tenant-chaiml-guanaco.kchai-coreweave-us-east-04a.chaiverse.com', port=80): Read timed out. (read timeout=12.0)
Inference service chaiml-icld-v2-dpo-b025-v1 ready after 150.5262746810913s
Pipeline stage MKMLDeployer completed in 151.09s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.7853472232818604s
Received healthy response to inference request in 2.957380771636963s
Received healthy response to inference request in 2.357271194458008s
Received healthy response to inference request in 2.0867135524749756s
Received healthy response to inference request in 2.352092981338501s
5 requests
0 failed requests
5th percentile: 2.1397894382476808
10th percentile: 2.192865324020386
20th percentile: 2.299017095565796
30th percentile: 2.3531286239624025
40th percentile: 2.355199909210205
50th percentile: 2.357271194458008
60th percentile: 2.528501605987549
70th percentile: 2.6997320175170896
80th percentile: 2.8197539329528807
90th percentile: 2.888567352294922
95th percentile: 2.9229740619659426
99th percentile: 2.950499429702759
mean time: 2.5077611446380614
Pipeline stage StressChecker completed in 14.04s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.58s
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chaiml-icld-v2-dpo-b025_v1 status is now deployed due to DeploymentManager action
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Creating inference service chaiml-icld-v2-dpo-b025-v1-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2982.86s
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