developer_uid: zonemercy
submission_id: chaiml-csfs-v5-dpo-b025_v2
model_name: test
model_group: ChaiML/csfs-v5-dpo_b025
status: inactive
timestamp: 2025-11-23T07:12:54+00:00
num_battles: 9241
num_wins: 4488
celo_rating: 1271.81
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: ChaiML/csfs-v5-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': 0.4631817055470912, 'latency_mean': 2.158882989883423, 'latency_p50': 2.1463180780410767, 'latency_p90': 2.3645402669906614}, {'batch_size': 2, 'throughput': 0.676189633375362, 'latency_mean': 2.9540301978588106, 'latency_p50': 2.9520785808563232, 'latency_p90': 3.1980154037475588}, {'batch_size': 3, 'throughput': 0.8176892560160619, 'latency_mean': 3.6678586375713347, 'latency_p50': 3.6747864484786987, 'latency_p90': 4.296633553504944}, {'batch_size': 4, 'throughput': 0.912265174551165, 'latency_mean': 4.379090863466263, 'latency_p50': 4.360755562782288, 'latency_p90': 5.1029246807098385}, {'batch_size': 5, 'throughput': 0.9663209333876747, 'latency_mean': 5.163757203817368, 'latency_p50': 5.170297145843506, 'latency_p90': 5.85660502910614}]
gpu_counts: {'NVIDIA L40S': 1}
display_name: test
is_internal_developer: True
language_model: ChaiML/csfs-v5-dpo_b025
model_size: 24B
ranking_group: single
throughput_3p7s: 0.82
us_pacific_date: 2025-11-22
win_ratio: 0.4856617249215453
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', 'You:', 'User:', '</s>'], '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
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Running pipeline stage MKMLizer
Starting job with name chaiml-csfs-v5-dpo-b025-v2-mkmlizer
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chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ Version: 0.30.2 ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ belonging to: ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ║ ║
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: Downloaded to shared memory in 50.118s
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: Checking if ChaiML/csfs-v5-dpo_b025 already exists in ChaiML
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:q4, folder:/tmp/tmpy8l97suo, device:0
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: quantized model in 284.816s
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: Processed model ChaiML/csfs-v5-dpo_b025 in 334.935s
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia/config.json
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia/special_tokens_map.json
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia/tokenizer_config.json
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia/tokenizer.json
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia/flywheel_model.1.safetensors
chaiml-csfs-v5-dpo-b025-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-csfs-v5-dpo-b025-v2/nvidia/flywheel_model.0.safetensors
Job chaiml-csfs-v5-dpo-b025-v2-mkmlizer completed after 378.0s with status: succeeded
Stopping job with name chaiml-csfs-v5-dpo-b025-v2-mkmlizer
Pipeline stage MKMLizer completed in 378.52s
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Inference service chaiml-csfs-v5-dpo-b025-v2 ready after 150.60831499099731s
Pipeline stage MKMLDeployer completed in 151.11s
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Received healthy response to inference request in 1.7591149806976318s
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90th percentile: 2.3697328567504883
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mean time: 2.020137166976929
Pipeline stage StressChecker completed in 11.56s
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