chaiml-icld-v1-dpo-cosineb025

developer_uid: chai_backend_admin

submission_id: chaiml-icld-v1-dpo-cosineb025_v1

model_name: training123

model_group: ChaiML/icld-v1-dpo_cosin

status: inactive

timestamp: 2025-11-22T11:33:57+00:00

num_battles: 5767

num_wins: 2887

celo_rating: 1295.02

family_friendly_score: 0.0

family_friendly_standard_error: 0.0

submission_type: basic

model_repo: ChaiML/icld-v1-dpo_cosineb025

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': 0.45273014599431766, 'latency_mean': 2.2086996495723725, 'latency_p50': 2.219440460205078, 'latency_p90': 2.4178739309310915}, {'batch_size': 2, 'throughput': 0.6751678610810653, 'latency_mean': 2.9594862973690033, 'latency_p50': 2.9570472240448, 'latency_p90': 3.2271570682525637}, {'batch_size': 3, 'throughput': 0.8295028703737488, 'latency_mean': 3.6092025887966157, 'latency_p50': 3.587335705757141, 'latency_p90': 4.044640779495239}, {'batch_size': 4, 'throughput': 0.930540306277877, 'latency_mean': 4.282939026355743, 'latency_p50': 4.302380919456482, 'latency_p90': 4.796705865859985}, {'batch_size': 5, 'throughput': 0.9877970162790939, 'latency_mean': 5.031072303056717, 'latency_p50': 5.065239191055298, 'latency_p90': 5.585662293434143}]

gpu_counts: {'NVIDIA A100-SXM4-80GB': 1}

display_name: training123

is_internal_developer: True

language_model: ChaiML/icld-v1-dpo_cosineb025

model_size: 24B

ranking_group: single

throughput_3p7s: 0.85

us_pacific_date: 2025-11-22

win_ratio: 0.5006069013351829

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', '</s>', 'You:', 'User:'], '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-v1-dpo-cosineb025-v1-mkmlizer
Waiting for job on chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer to finish
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chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║                                                                     ║
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chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  belonging to:                                                      ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ║                                                                     ║
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: Downloaded to shared memory in 63.732s
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: Checking if ChaiML/icld-v1-dpo_cosineb025 already exists in ChaiML
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpy9jhug5v, device:0
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: quantized model in 47.201s
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: Processed model ChaiML/icld-v1-dpo_cosineb025 in 110.933s
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: creating bucket guanaco-mkml-models
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia/config.json
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia/special_tokens_map.json
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia/tokenizer_config.json
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia/tokenizer.json
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia/flywheel_model.1.safetensors
chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-icld-v1-dpo-cosineb025-v1/nvidia/flywheel_model.0.safetensors
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Job chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer completed after 154.29s with status: succeeded
Stopping job with name chaiml-icld-v1-dpo-cosineb025-v1-mkmlizer
Pipeline stage MKMLizer completed in 154.81s
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Running pipeline stage MKMLTemplater
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Creating inference service chaiml-icld-v1-dpo-cosineb025-v1
Waiting for inference service chaiml-icld-v1-dpo-cosineb025-v1 to be ready
Inference service chaiml-icld-v1-dpo-cosineb025-v1 ready after 150.6779534816742s
Pipeline stage MKMLDeployer completed in 151.20s
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Running pipeline stage StressChecker
Received healthy response to inference request in 1.9746348857879639s
Received healthy response to inference request in 1.8282785415649414s
Received healthy response to inference request in 1.9131546020507812s
Received healthy response to inference request in 1.8417108058929443s
Received healthy response to inference request in 1.7805838584899902s
5 requests
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5th percentile: 1.7901227951049805
10th percentile: 1.7996617317199708
20th percentile: 1.8187396049499511
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50th percentile: 1.8417108058929443
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70th percentile: 1.8988658428192138
80th percentile: 1.9254506587982179
90th percentile: 1.9500427722930909
95th percentile: 1.9623388290405273
99th percentile: 1.9721756744384766
mean time: 1.8676725387573243
Pipeline stage StressChecker completed in 11.09s
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