developer_uid: NischayDnk
submission_id: chaiml-exp14-exp9dpoft-_65674_v2
model_name: chaiml-exp14-exp9dpoft-_65674_v2
model_group: ChaiML/exp14-exp9DPOFt-c
status: torndown
timestamp: 2025-03-08T13:08:59+00:00
num_battles: 10782
num_wins: 5542
celo_rating: 1291.48
family_friendly_score: 0.508
family_friendly_standard_error: 0.007070162657251953
submission_type: basic
model_repo: ChaiML/exp14-exp9DPOFt-chaidatav1dpo6k-24B
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
latencies: [{'batch_size': 1, 'throughput': 0.3688099243644356, 'latency_mean': 2.711334797143936, 'latency_p50': 2.693139433860779, 'latency_p90': 3.0018741607666017}, {'batch_size': 2, 'throughput': 0.5737237930905571, 'latency_mean': 3.476032408475876, 'latency_p50': 3.4584583044052124, 'latency_p90': 3.851229953765869}, {'batch_size': 3, 'throughput': 0.7236438856339442, 'latency_mean': 4.138670918941497, 'latency_p50': 4.105105042457581, 'latency_p90': 4.5123165369033815}, {'batch_size': 4, 'throughput': 0.8293025203803895, 'latency_mean': 4.798006221055984, 'latency_p50': 4.814784407615662, 'latency_p90': 5.3146518707275385}, {'batch_size': 5, 'throughput': 0.9240113429526591, 'latency_mean': 5.370276815891266, 'latency_p50': 5.365220785140991, 'latency_p90': 5.946548938751221}]
gpu_counts: {'NVIDIA RTX A6000': 1}
display_name: chaiml-exp14-exp9dpoft-_65674_v2
is_internal_developer: False
language_model: ChaiML/exp14-exp9DPOFt-chaidatav1dpo6k-24B
model_size: 24B
ranking_group: single
throughput_3p7s: 0.63
us_pacific_date: 2025-03-08
win_ratio: 0.5140048228529029
generation_params: {'temperature': 0.75, 'top_p': 0.9, 'min_p': 0.125, 'top_k': 80, 'presence_penalty': 0.4, 'frequency_penalty': 0.45, 'stopping_words': ['\n', '###', '</s>', 'You:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '[INST]', 'prompt_template': "''", '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': '[/INST]{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 chaiml-exp14-exp9dpoft-65674-v2-mkmlizer
Waiting for job on chaiml-exp14-exp9dpoft-65674-v2-mkmlizer to finish
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║     _____            __           __                                ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║       /___/                                                         ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║                                                                     ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  Version: 0.12.8                                                    ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║                                                                     ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  belonging to:                                                      ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║                                                                     ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ║                                                                     ║
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: Downloaded to shared memory in 71.292s
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpc05414en, device:0
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: quantized model in 53.121s
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: Processed model ChaiML/exp14-exp9DPOFt-chaidatav1dpo6k-24B in 124.413s
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2/config.json
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2/special_tokens_map.json
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2/tokenizer_config.json
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2/tokenizer.json
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2/flywheel_model.1.safetensors
chaiml-exp14-exp9dpoft-65674-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp14-exp9dpoft-65674-v2/flywheel_model.0.safetensors
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Job chaiml-exp14-exp9dpoft-65674-v2-mkmlizer completed after 154.46s with status: succeeded
Stopping job with name chaiml-exp14-exp9dpoft-65674-v2-mkmlizer
Pipeline stage MKMLizer completed in 154.92s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.15s
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Running pipeline stage MKMLDeployer
Creating inference service chaiml-exp14-exp9dpoft-65674-v2
Waiting for inference service chaiml-exp14-exp9dpoft-65674-v2 to be ready
Inference service chaiml-exp14-exp9dpoft-65674-v2 ready after 90.39451241493225s
Pipeline stage MKMLDeployer completed in 90.91s
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Running pipeline stage StressChecker
Received healthy response to inference request in 3.0291802883148193s
Received healthy response to inference request in 2.4039857387542725s
Received healthy response to inference request in 2.6962006092071533s
Received healthy response to inference request in 2.3991518020629883s
Received healthy response to inference request in 2.531120538711548s
5 requests
0 failed requests
5th percentile: 2.400118589401245
10th percentile: 2.401085376739502
20th percentile: 2.4030189514160156
30th percentile: 2.4294126987457276
40th percentile: 2.4802666187286375
50th percentile: 2.531120538711548
60th percentile: 2.59715256690979
70th percentile: 2.6631845951080324
80th percentile: 2.7627965450286864
90th percentile: 2.895988416671753
95th percentile: 2.962584352493286
99th percentile: 3.0158611011505125
mean time: 2.611927795410156
Pipeline stage StressChecker completed in 14.36s
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Running pipeline stage TriggerMKMLProfilingPipeline
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Running pipeline stage OfflineFamilyFriendlyScorer
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Pipeline stage OfflineFamilyFriendlyScorer completed in 5346.35s
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chaiml-exp14-exp9dpoft-_65674_v2 status is now inactive due to auto deactivation removed underperforming models
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