submission_id: riverise-model-trained-o_3967_v3
developer_uid: Riverise
alignment_samples: 11001
alignment_score: -0.06320024158881941
best_of: 16
celo_rating: 1227.89
display_name: sonnet_second_model
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\nYou: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
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': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Riverise/model_trained_on_sonnet_2rd
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Riverise/model_trained_o
model_name: sonnet_second_model
model_num_parameters: 8030261248.0
model_repo: Riverise/model_trained_on_sonnet_2rd
model_size: 8B
num_battles: 11001
num_wins: 5384
propriety_score: 0.7073422957600828
propriety_total_count: 967.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-08-31T07:47:14+00:00
us_pacific_date: 2024-08-31
win_ratio: 0.48941005363148804
Resubmit model
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See Alsorica40325-lora32-third-step_v3riverise-model-trained-o_9186_v1nousresearch-meta-llama_4939_v49Running pipeline stage MKMLizer
Starting job with name riverise-model-trained-o-3967-v3-mkmlizer
Waiting for job on riverise-model-trained-o-3967-v3-mkmlizer to finish
Stopping job with name riverise-model-trained-o-3967-v3-mkmlizer
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Starting job with name riverise-model-trained-o-3967-v3-mkmlizer
Waiting for job on riverise-model-trained-o-3967-v3-mkmlizer to finish
riverise-model-trained-o-3967-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-model-trained-o-3967-v3-mkmlizer: ║ _____ __ __ ║
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riverise-model-trained-o-3967-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ /___/ ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ Version: 0.10.1 ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ https://mk1.ai ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ belonging to: ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ Chai Research Corp. ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
riverise-model-trained-o-3967-v3-mkmlizer: ║ ║
riverise-model-trained-o-3967-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-model-trained-o-3967-v3-mkmlizer: Downloaded to shared memory in 37.428s
riverise-model-trained-o-3967-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpiqdejw7i, device:0
riverise-model-trained-o-3967-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-model-trained-o-3967-v3-mkmlizer: quantized model in 29.532s
riverise-model-trained-o-3967-v3-mkmlizer: Processed model Riverise/model_trained_on_sonnet_2rd in 66.960s
riverise-model-trained-o-3967-v3-mkmlizer: creating bucket guanaco-mkml-models
riverise-model-trained-o-3967-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-model-trained-o-3967-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-model-trained-o-3967-v3
riverise-model-trained-o-3967-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-model-trained-o-3967-v3/special_tokens_map.json
riverise-model-trained-o-3967-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-model-trained-o-3967-v3/config.json
riverise-model-trained-o-3967-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-model-trained-o-3967-v3/tokenizer_config.json
riverise-model-trained-o-3967-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-model-trained-o-3967-v3/tokenizer.json
riverise-model-trained-o-3967-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/riverise-model-trained-o-3967-v3/flywheel_model.0.safetensors
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Job riverise-model-trained-o-3967-v3-mkmlizer completed after 84.57s with status: succeeded
Stopping job with name riverise-model-trained-o-3967-v3-mkmlizer
Pipeline stage MKMLizer completed in 86.07s
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Creating inference service riverise-model-trained-o-3967-v3
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Inference service riverise-model-trained-o-3967-v3 ready after 191.036372423172s
Pipeline stage MKMLDeployer completed in 191.53s
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Running pipeline stage StressChecker
Received healthy response to inference request in 2.340226888656616s
Received healthy response to inference request in 3.8759725093841553s
Received healthy response to inference request in 1.4907944202423096s
Received healthy response to inference request in 1.6082940101623535s
Received healthy response to inference request in 1.1557965278625488s
5 requests
0 failed requests
5th percentile: 1.2227961063385009
10th percentile: 1.2897956848144532
20th percentile: 1.4237948417663575
30th percentile: 1.5142943382263183
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50th percentile: 1.6082940101623535
60th percentile: 1.9010671615600585
70th percentile: 2.1938403129577635
80th percentile: 2.647376012802124
90th percentile: 3.2616742610931397
95th percentile: 3.5688233852386473
99th percentile: 3.814542684555054
mean time: 2.0942168712615965
Pipeline stage StressChecker completed in 11.28s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 3.59s
riverise-model-trained-o_3967_v3 status is now deployed due to DeploymentManager action
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Creating inference service riverise-model-trained-o-3967-v3-profiler
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Inference service riverise-model-trained-o-3967-v3-profiler ready after 190.42956042289734s
Pipeline stage MKMLProfilerDeployer completed in 190.80s
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Service riverise-model-trained-o-3967-v3-profiler has been torndown
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riverise-model-trained-o_3967_v3 status is now inactive due to auto deactivation removed underperforming models
