developer_uid: rirv938
submission_id: chaiml-exp-grpo-cp624-96_5228_v2
model_name: chaiml-exp-grpo-cp624-96_5228_v2
model_group: ChaiML/exp_grpo_cp624_96
status: torndown
timestamp: 2025-05-31T20:49:08+00:00
num_battles: 5427
num_wins: 2833
celo_rating: 1308.54
family_friendly_score: 0.5406
family_friendly_standard_error: 0.007047717928521259
submission_type: basic
model_repo: ChaiML/exp_grpo_cp624_96ff_b6_r1_merged
model_architecture: MistralForCausalLM
model_num_parameters: 24096691200.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: chaiml-exp-grpo-cp624-96_5228_v2
is_internal_developer: True
language_model: ChaiML/exp_grpo_cp624_96ff_b6_r1_merged
model_size: 24B
ranking_group: single
us_pacific_date: 2025-05-31
win_ratio: 0.5220195319697807
generation_params: {'temperature': 0.9, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.45, 'frequency_penalty': 0.45, 'stopping_words': ['\n', '</s>', '###', 'You:'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', '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 chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer
Waiting for job on chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer to finish
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chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ █████ █████ █████ ░░████ █████ ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ ░░░░░ ░░░░░ ░░░░░ ░░░░ ░░░░░ ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ Version: 0.27.1+vampire_v3 ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ Features: FLYWHEEL, CUDA ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ Copyright 2023-2025 MK ONE TECHNOLOGIES Inc. ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ https://mk1.ai ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ The license key for the current software has been verified as ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ belonging to: ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ Chai Research Corp. ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ Expiration: 2028-03-31 23:59:59 ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ║ ║
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: Downloaded to shared memory in 117.063s
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpa15c1cba, device:0
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: quantized model in 59.422s
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: Processed model ChaiML/exp_grpo_cp624_96ff_b6_r1_merged in 176.486s
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: creating bucket guanaco-mkml-models
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2/config.json
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2/special_tokens_map.json
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2/tokenizer_config.json
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2/tokenizer.json
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2/flywheel_model.1.safetensors
chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-exp-grpo-cp624-96-5228-v2/flywheel_model.0.safetensors
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Job chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer completed after 207.24s with status: succeeded
Stopping job with name chaiml-exp-grpo-cp624-96-5228-v2-mkmlizer
Pipeline stage MKMLizer completed in 207.75s
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Creating inference service chaiml-exp-grpo-cp624-96-5228-v2
Waiting for inference service chaiml-exp-grpo-cp624-96-5228-v2 to be ready
Inference service chaiml-exp-grpo-cp624-96-5228-v2 ready after 140.59139728546143s
Pipeline stage MKMLDeployer completed in 141.10s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.921300172805786s
Received healthy response to inference request in 1.900373935699463s
Received healthy response to inference request in 1.9629881381988525s
Received healthy response to inference request in 1.9964170455932617s
Received healthy response to inference request in 2.040010452270508s
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5th percentile: 1.9128967761993407
10th percentile: 1.9254196166992188
20th percentile: 1.9504652976989747
30th percentile: 1.9696739196777344
40th percentile: 1.983045482635498
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70th percentile: 2.0312917709350584
80th percentile: 2.2162683963775636
90th percentile: 2.568784284591675
95th percentile: 2.7450422286987304
99th percentile: 2.886048583984375
mean time: 2.164217948913574
Pipeline stage StressChecker completed in 11.97s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2970.45s
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chaiml-exp-grpo-cp624-96_5228_v2 status is now inactive due to auto deactivation removed underperforming models
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