developer_uid: zonemercy
submission_id: chaiml-csfs-v5-dpo_v4
model_name: test
model_group: ChaiML/csfs-v5-dpo
status: inactive
timestamp: 2025-11-23T12:22:27+00:00
num_battles: 7064
num_wins: 3577
celo_rating: 1302.78
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/csfs-v5-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': 0.46704808608560916, 'latency_mean': 2.14099999666214, 'latency_p50': 2.108063220977783, 'latency_p90': 2.3728004932403564}, {'batch_size': 2, 'throughput': 0.6812247348796349, 'latency_mean': 2.9295844972133636, 'latency_p50': 2.9392138719558716, 'latency_p90': 3.221653175354004}, {'batch_size': 3, 'throughput': 0.8229669471582037, 'latency_mean': 3.6365356385707854, 'latency_p50': 3.6351065635681152, 'latency_p90': 4.069950485229492}, {'batch_size': 4, 'throughput': 0.9259836291072158, 'latency_mean': 4.305679411888122, 'latency_p50': 4.306098461151123, 'latency_p90': 4.866855907440185}, {'batch_size': 5, 'throughput': 0.9835565393055298, 'latency_mean': 5.057400287389755, 'latency_p50': 5.075147271156311, 'latency_p90': 5.657390904426574}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/csfs-v5-dpo
model_size: 24B
ranking_group: single
throughput_3p7s: 0.84
us_pacific_date: 2025-11-23
win_ratio: 0.5063703284258211
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:', '</s>', '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': '####\n{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-csfs-v5-dpo-v4-mkmlizer
Waiting for job on chaiml-csfs-v5-dpo-v4-mkmlizer to finish
chaiml-csfs-v5-dpo-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-csfs-v5-dpo-v4-mkmlizer: ║                                                                     ║
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chaiml-csfs-v5-dpo-v4-mkmlizer: ║   █████     █████  █████ ░░████  █████                              ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  ░░░░░     ░░░░░  ░░░░░   ░░░░  ░░░░░                               ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  Version: 0.30.2                                                    ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  belonging to:                                                      ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ║                                                                     ║
chaiml-csfs-v5-dpo-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-csfs-v5-dpo-v4-mkmlizer: quantized model in 286.160s
chaiml-csfs-v5-dpo-v4-mkmlizer: Processed model ChaiML/csfs-v5-dpo in 334.389s
chaiml-csfs-v5-dpo-v4-mkmlizer: creating bucket guanaco-mkml-models
chaiml-csfs-v5-dpo-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-csfs-v5-dpo-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia
chaiml-csfs-v5-dpo-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia/config.json
chaiml-csfs-v5-dpo-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia/special_tokens_map.json
chaiml-csfs-v5-dpo-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia/tokenizer_config.json
chaiml-csfs-v5-dpo-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia/tokenizer.json
chaiml-csfs-v5-dpo-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia/flywheel_model.1.safetensors
chaiml-csfs-v5-dpo-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-v4/nvidia/flywheel_model.0.safetensors
chaiml-csfs-v5-dpo-v4-mkmlizer: 
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Job chaiml-csfs-v5-dpo-v4-mkmlizer completed after 386.44s with status: succeeded
Stopping job with name chaiml-csfs-v5-dpo-v4-mkmlizer
Pipeline stage MKMLizer completed in 386.94s
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-csfs-v5-dpo-v4
Waiting for inference service chaiml-csfs-v5-dpo-v4 to be ready
Inference service chaiml-csfs-v5-dpo-v4 ready after 150.59030032157898s
Pipeline stage MKMLDeployer completed in 151.11s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1606595516204834s
Received healthy response to inference request in 1.7880425453186035s
Received healthy response to inference request in 1.7621557712554932s
Received healthy response to inference request in 1.7864658832550049s
Received healthy response to inference request in 1.8892066478729248s
5 requests
0 failed requests
5th percentile: 1.7670177936553955
10th percentile: 1.7718798160552978
20th percentile: 1.7816038608551026
30th percentile: 1.7867812156677245
40th percentile: 1.787411880493164
50th percentile: 1.7880425453186035
60th percentile: 1.828508186340332
70th percentile: 1.8689738273620606
80th percentile: 1.9434972286224366
90th percentile: 2.05207839012146
95th percentile: 2.1063689708709714
99th percentile: 2.149801435470581
mean time: 1.877306079864502
Pipeline stage StressChecker completed in 10.75s
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 0.65s
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 0.65s
Shutdown handler de-registered
chaiml-csfs-v5-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 0.10s
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-csfs-v5-dpo-v4-profiler
Waiting for inference service chaiml-csfs-v5-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 5389.82s
Shutdown handler de-registered