developer_uid: NischayDnk
submission_id: deepcogito-cogito-v1-pr_37704_v2
model_name: deepcogito-cogito-v1-pr_37704_v2
model_group: deepcogito/cogito-v1-pre
status: torndown
timestamp: 2025-05-16T14:35:25+00:00
num_battles: 10482
num_wins: 4755
celo_rating: 1252.61
family_friendly_score: 0.745
family_friendly_standard_error: 0.006164008436074694
submission_type: basic
model_repo: deepcogito/cogito-v1-preview-qwen-14B
model_architecture: Qwen2ForCausalLM
model_num_parameters: 14765603840.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.4684952193863184, 'latency_mean': 2.1344216001033782, 'latency_p50': 2.1429972648620605, 'latency_p90': 2.348262596130371}, {'batch_size': 3, 'throughput': 0.8721250935634134, 'latency_mean': 3.435062104463577, 'latency_p50': 3.4418959617614746, 'latency_p90': 3.773289632797241}, {'batch_size': 5, 'throughput': 1.0573108493478625, 'latency_mean': 4.71486762046814, 'latency_p50': 4.735483407974243, 'latency_p90': 5.200373315811157}, {'batch_size': 6, 'throughput': 1.1137789074500015, 'latency_mean': 5.360135282278061, 'latency_p50': 5.374533653259277, 'latency_p90': 6.022722601890564}, {'batch_size': 10, 'throughput': 1.2153868271828447, 'latency_mean': 8.178329017162323, 'latency_p50': 8.143499851226807, 'latency_p90': 9.223111653327942}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: deepcogito-cogito-v1-pr_37704_v2
is_internal_developer: False
language_model: deepcogito/cogito-v1-preview-qwen-14B
model_size: 15B
ranking_group: single
throughput_3p7s: 0.92
us_pacific_date: 2025-05-16
win_ratio: 0.45363480251860333
generation_params: {'temperature': 0.85, 'top_p': 0.94, 'min_p': 0.02, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.1, 'stopping_words': ['<|im_end|>', '\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|system|>Family Friendly{memory}\n', 'prompt_template': '', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\nYou:{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', 'truncate_by_message': False}
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 deepcogito-cogito-v1-pr-37704-v2-mkmlizer
Waiting for job on deepcogito-cogito-v1-pr-37704-v2-mkmlizer to finish
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ /___/ ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ Version: 0.12.8 ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ https://mk1.ai ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ Chai Research Corp. ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
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deepcogito-cogito-v1-pr-37704-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: Downloaded to shared memory in 38.134s
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpkb_21jt7, device:0
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: quantized model in 36.391s
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: Processed model deepcogito/cogito-v1-preview-qwen-14B in 74.525s
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: creating bucket guanaco-mkml-models
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2/added_tokens.json
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2/config.json
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2/tokenizer_config.json
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2/special_tokens_map.json
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2/flywheel_model.1.safetensors
deepcogito-cogito-v1-pr-37704-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/deepcogito-cogito-v1-pr-37704-v2/flywheel_model.0.safetensors
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Job deepcogito-cogito-v1-pr-37704-v2-mkmlizer completed after 94.24s with status: succeeded
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