riverise-checkpoint-600

developer_uid: Riverise
submission_id: riverise-checkpoint-600_v1
model_name: riverise-checkpoint-600_v1
model_group: Riverise/checkpoint-600
status: torndown
timestamp: 2025-06-08T15:20:45+00:00
num_battles: 10282
num_wins: 5162
celo_rating: 1275.43
family_friendly_score: 0.6666000000000001
family_friendly_standard_error: 0.00666699992500375
submission_type: basic
model_repo: Riverise/checkpoint-600
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: riverise-checkpoint-600_v1
is_internal_developer: False
language_model: Riverise/checkpoint-600
model_size: 13B
ranking_group: single
us_pacific_date: 2025-06-08
win_ratio: 0.5020424042015172
generation_params: {'temperature': 0.95, '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': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', '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 riverise-checkpoint-600-v1-mkmlizer
Waiting for job on riverise-checkpoint-600-v1-mkmlizer to finish
riverise-checkpoint-600-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-checkpoint-600-v1-mkmlizer: ║                                                                     ║
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riverise-checkpoint-600-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-600-v1-mkmlizer: ║  Version: 0.27.1+vampire_v3                                         ║
riverise-checkpoint-600-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
riverise-checkpoint-600-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
riverise-checkpoint-600-v1-mkmlizer: ║  https://mk1.ai                                                     ║
riverise-checkpoint-600-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-600-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
riverise-checkpoint-600-v1-mkmlizer: ║  belonging to:                                                      ║
riverise-checkpoint-600-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-600-v1-mkmlizer: ║  Chai Research Corp.                                                ║
riverise-checkpoint-600-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
riverise-checkpoint-600-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
riverise-checkpoint-600-v1-mkmlizer: ║                                                                     ║
riverise-checkpoint-600-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-checkpoint-600-v1-mkmlizer: Downloaded to shared memory in 40.715s
riverise-checkpoint-600-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpigxkx7ud, device:0
riverise-checkpoint-600-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-checkpoint-600-v1-mkmlizer: quantized model in 30.934s
riverise-checkpoint-600-v1-mkmlizer: Processed model Riverise/checkpoint-600 in 71.650s
riverise-checkpoint-600-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-checkpoint-600-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-checkpoint-600-v1/config.json
riverise-checkpoint-600-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-checkpoint-600-v1/special_tokens_map.json
riverise-checkpoint-600-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-checkpoint-600-v1/tokenizer_config.json
riverise-checkpoint-600-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-checkpoint-600-v1/tokenizer.json
riverise-checkpoint-600-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-checkpoint-600-v1/flywheel_model.0.safetensors
riverise-checkpoint-600-v1-mkmlizer: 
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Job riverise-checkpoint-600-v1-mkmlizer completed after 94.83s with status: succeeded
Stopping job with name riverise-checkpoint-600-v1-mkmlizer
Pipeline stage MKMLizer completed in 95.38s
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Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.17s
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Running pipeline stage MKMLDeployer
Creating inference service riverise-checkpoint-600-v1
Waiting for inference service riverise-checkpoint-600-v1 to be ready
Inference service riverise-checkpoint-600-v1 ready after 100.46308875083923s
Pipeline stage MKMLDeployer completed in 101.02s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.279154062271118s
Received healthy response to inference request in 1.7192206382751465s
Received healthy response to inference request in 2.0292136669158936s
Received healthy response to inference request in 1.5999953746795654s
Received healthy response to inference request in 1.7268121242523193s
5 requests
0 failed requests
5th percentile: 1.6238404273986817
10th percentile: 1.6476854801177978
20th percentile: 1.6953755855560302
30th percentile: 1.720738935470581
40th percentile: 1.72377552986145
50th percentile: 1.7268121242523193
60th percentile: 1.847772741317749
70th percentile: 1.9687333583831788
80th percentile: 2.0792017459869383
90th percentile: 2.1791779041290282
95th percentile: 2.2291659832000734
99th percentile: 2.2691564464569094
mean time: 1.8708791732788086
Pipeline stage StressChecker completed in 10.90s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.65s
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Pipeline stage MKMLProfilerTemplater completed in 0.09s
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Creating inference service riverise-checkpoint-600-v1-profiler
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Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 4757.72s
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