developer_uid: AlexCuadron
submission_id: alexcuadron-dpo-massive-mm_v2
model_name: alexcuadron-dpo-massive-mm_v2
model_group: AlexCuadron/dpo_massive_
status: torndown
timestamp: 2025-03-25T00:54:01+00:00
num_battles: 6617
num_wins: 3345
celo_rating: 1283.87
family_friendly_score: 0.5532
family_friendly_standard_error: 0.0070309282459715084
submission_type: basic
model_repo: AlexCuadron/dpo_massive_mm
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
latencies: [{'batch_size': 1, 'throughput': 0.6005399568255666, 'latency_mean': 1.6651024317741394, 'latency_p50': 1.6813687086105347, 'latency_p90': 1.8250837326049805}, {'batch_size': 3, 'throughput': 1.1037909876242615, 'latency_mean': 2.7103629326820373, 'latency_p50': 2.7168959379196167, 'latency_p90': 2.997363519668579}, {'batch_size': 5, 'throughput': 1.3336041746238139, 'latency_mean': 3.738277803659439, 'latency_p50': 3.7272742986679077, 'latency_p90': 4.1248632907867435}, {'batch_size': 6, 'throughput': 1.3977936579823065, 'latency_mean': 4.272479979991913, 'latency_p50': 4.277449369430542, 'latency_p90': 4.87541708946228}, {'batch_size': 8, 'throughput': 1.461820798482298, 'latency_mean': 5.431003021001816, 'latency_p50': 5.42807936668396, 'latency_p90': 6.0773512601852415}, {'batch_size': 10, 'throughput': 1.4911885870237762, 'latency_mean': 6.659225322008133, 'latency_p50': 6.668488383293152, 'latency_p90': 7.541671514511108}]
gpu_counts: {'NVIDIA RTX A5000': 1}
display_name: alexcuadron-dpo-massive-mm_v2
is_internal_developer: False
language_model: AlexCuadron/dpo_massive_mm
model_size: 13B
ranking_group: single
throughput_3p7s: 1.33
us_pacific_date: 2025-03-24
win_ratio: 0.5055160949070576
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': "<s>{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST]{user_name}: {message}[/INST]', 'response_template': '{bot_name}:', '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 alexcuadron-dpo-massive-mm-v2-mkmlizer
Waiting for job on alexcuadron-dpo-massive-mm-v2-mkmlizer to finish
alexcuadron-dpo-massive-mm-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ _____ __ __ ║
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alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ /___/ ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ Version: 0.12.8 ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ https://mk1.ai ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ The license key for the current software has been verified as ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ belonging to: ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ Chai Research Corp. ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ║ ║
alexcuadron-dpo-massive-mm-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alexcuadron-dpo-massive-mm-v2-mkmlizer: Downloaded to shared memory in 34.102s
alexcuadron-dpo-massive-mm-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpi6b_myjo, device:0
alexcuadron-dpo-massive-mm-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alexcuadron-dpo-massive-mm-v2-mkmlizer: quantized model in 35.945s
alexcuadron-dpo-massive-mm-v2-mkmlizer: Processed model AlexCuadron/dpo_massive_mm in 70.047s
alexcuadron-dpo-massive-mm-v2-mkmlizer: creating bucket guanaco-mkml-models
alexcuadron-dpo-massive-mm-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alexcuadron-dpo-massive-mm-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alexcuadron-dpo-massive-mm-v2
alexcuadron-dpo-massive-mm-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alexcuadron-dpo-massive-mm-v2/config.json
alexcuadron-dpo-massive-mm-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alexcuadron-dpo-massive-mm-v2/special_tokens_map.json
alexcuadron-dpo-massive-mm-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alexcuadron-dpo-massive-mm-v2/tokenizer_config.json
alexcuadron-dpo-massive-mm-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alexcuadron-dpo-massive-mm-v2/flywheel_model.0.safetensors
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Job alexcuadron-dpo-massive-mm-v2-mkmlizer completed after 93.89s with status: succeeded
Stopping job with name alexcuadron-dpo-massive-mm-v2-mkmlizer
Pipeline stage MKMLizer completed in 94.39s
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Inference service alexcuadron-dpo-massive-mm-v2 ready after 100.34144878387451s
Pipeline stage MKMLDeployer completed in 100.85s
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Received healthy response to inference request in 1.600389003753662s
Received healthy response to inference request in 1.8919007778167725s
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5th percentile: 1.5858403205871583
10th percentile: 1.5894774913787841
20th percentile: 1.596751832962036
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40th percentile: 1.682547426223755
50th percentile: 1.7373197078704834
60th percentile: 1.799152135848999
70th percentile: 1.8609845638275146
80th percentile: 1.9633050441741944
90th percentile: 2.106113576889038
95th percentile: 2.1775178432464597
99th percentile: 2.2346412563323974
mean time: 1.8121469497680665
Pipeline stage StressChecker completed in 10.53s
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