developer_uid: rica40325
submission_id: rica40325-filter65k-v6-600_v2
model_name: rica40325-filter65k-v6-600_v1
model_group: rica40325/filter65k-v6-6
status: torndown
timestamp: 2025-06-21T02:44:33+00:00
num_battles: 6054
num_wins: 2416
celo_rating: 1205.22
family_friendly_score: 0.0
family_friendly_standard_error: 0.0
submission_type: basic
model_repo: rica40325/filter65k-v6-600
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.5941290793609055, 'latency_mean': 1.6830155098438262, 'latency_p50': 1.6789549589157104, 'latency_p90': 1.8696233749389648}, {'batch_size': 3, 'throughput': 1.042930970556571, 'latency_mean': 2.871446177959442, 'latency_p50': 2.872739791870117, 'latency_p90': 3.1569794416427612}, {'batch_size': 5, 'throughput': 1.2449902310821424, 'latency_mean': 3.9939811491966246, 'latency_p50': 3.991720676422119, 'latency_p90': 4.557402276992798}, {'batch_size': 6, 'throughput': 1.3094633857380957, 'latency_mean': 4.565003798007965, 'latency_p50': 4.5540549755096436, 'latency_p90': 5.163453459739685}, {'batch_size': 8, 'throughput': 1.359495964345605, 'latency_mean': 5.837072921991348, 'latency_p50': 5.840639114379883, 'latency_p90': 6.57684440612793}, {'batch_size': 10, 'throughput': 1.3819626309265676, 'latency_mean': 7.173249274492264, 'latency_p50': 7.146536111831665, 'latency_p90': 7.951296949386596}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: rica40325-filter65k-v6-600_v1
is_internal_developer: False
language_model: rica40325/filter65k-v6-600
model_size: 13B
ranking_group: single
throughput_3p7s: 1.21
us_pacific_date: 2025-06-20
win_ratio: 0.3990749917409977
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
Resubmit model
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Running pipeline stage MKMLizer
Starting job with name rica40325-filter65k-v6-600-v2-mkmlizer
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rica40325-filter65k-v6-600-v2-mkmlizer: ║                                                                     ║
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rica40325-filter65k-v6-600-v2-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  Version: 0.29.3                                                    ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  belonging to:                                                      ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-filter65k-v6-600-v2-mkmlizer: ║                                                                     ║
rica40325-filter65k-v6-600-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filter65k-v6-600-v2-mkmlizer: Downloaded to shared memory in 38.895s
rica40325-filter65k-v6-600-v2-mkmlizer: Checking if rica40325/filter65k-v6-600 already exists in ChaiML
rica40325-filter65k-v6-600-v2-mkmlizer: Creating repo ChaiML/filter65k-v6-600 and uploading /tmp/tmptde9dx2v to it
rica40325-filter65k-v6-600-v2-mkmlizer: 
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rica40325-filter65k-v6-600-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptde9dx2v, device:0
rica40325-filter65k-v6-600-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filter65k-v6-600-v2-mkmlizer: quantized model in 34.052s
rica40325-filter65k-v6-600-v2-mkmlizer: Processed model rica40325/filter65k-v6-600 in 134.247s
rica40325-filter65k-v6-600-v2-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filter65k-v6-600-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filter65k-v6-600-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filter65k-v6-600-v2
rica40325-filter65k-v6-600-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-filter65k-v6-600-v2/config.json
rica40325-filter65k-v6-600-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-filter65k-v6-600-v2/special_tokens_map.json
rica40325-filter65k-v6-600-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filter65k-v6-600-v2/tokenizer_config.json
rica40325-filter65k-v6-600-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filter65k-v6-600-v2/tokenizer.json
rica40325-filter65k-v6-600-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filter65k-v6-600-v2/flywheel_model.0.safetensors
Job rica40325-filter65k-v6-600-v2-mkmlizer completed after 166.06s with status: succeeded
Stopping job with name rica40325-filter65k-v6-600-v2-mkmlizer
Pipeline stage MKMLizer completed in 166.86s
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