submission_id: riverise-model-trained-o_9186_v1
developer_uid: Riverise
alignment_samples: 10654
alignment_score: 0.04674009374619444
best_of: 16
celo_rating: 1228.55
display_name: riverise-model-trained-o_9186_v1
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}
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_and_daily
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Riverise/model_trained_o
model_name: riverise-model-trained-o_9186_v1
model_num_parameters: 8030261248.0
model_repo: Riverise/model_trained_on_sonnet_and_daily
model_size: 8B
num_battles: 10654
num_wins: 5229
propriety_score: 0.7082429501084598
propriety_total_count: 922.0
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-08-31T06:52:30+00:00
us_pacific_date: 2024-08-30
win_ratio: 0.4908015768725361
Download Preference Data
Resubmit model
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name riverise-model-trained-o-9186-v1-mkmlizer
Waiting for job on riverise-model-trained-o-9186-v1-mkmlizer to finish
riverise-model-trained-o-9186-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
riverise-model-trained-o-9186-v1-mkmlizer: ║ _____ __ __ ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ /___/ ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ Version: 0.10.1 ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ https://mk1.ai ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ The license key for the current software has been verified as ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ belonging to: ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ Chai Research Corp. ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
riverise-model-trained-o-9186-v1-mkmlizer: ║ ║
riverise-model-trained-o-9186-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
riverise-model-trained-o-9186-v1-mkmlizer: Downloaded to shared memory in 63.954s
riverise-model-trained-o-9186-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6sqka3cu, device:0
riverise-model-trained-o-9186-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
riverise-model-trained-o-9186-v1-mkmlizer: quantized model in 28.422s
riverise-model-trained-o-9186-v1-mkmlizer: Processed model Riverise/model_trained_on_sonnet_and_daily in 92.377s
riverise-model-trained-o-9186-v1-mkmlizer: creating bucket guanaco-mkml-models
riverise-model-trained-o-9186-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
riverise-model-trained-o-9186-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/config.json
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/special_tokens_map.json
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/tokenizer_config.json
riverise-model-trained-o-9186-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/riverise-model-trained-o-9186-v1/tokenizer.json
riverise-model-trained-o-9186-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:10, 27.07it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:06, 41.88it/s] Loading 0: 6%|▌ | 17/291 [00:00<00:06, 39.86it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:06, 39.58it/s] Loading 0: 9%|▉ | 27/291 [00:00<00:06, 41.55it/s] Loading 0: 11%|█ | 32/291 [00:00<00:06, 39.11it/s] Loading 0: 12%|█▏ | 36/291 [00:01<00:10, 24.91it/s] Loading 0: 14%|█▍ | 41/291 [00:01<00:09, 26.96it/s] Loading 0: 16%|█▋ | 48/291 [00:01<00:07, 34.70it/s] Loading 0: 18%|█▊ | 53/291 [00:01<00:06, 35.44it/s] Loading 0: 20%|█▉ | 57/291 [00:01<00:06, 36.27it/s] Loading 0: 21%|██ | 61/291 [00:01<00:06, 34.35it/s] Loading 0: 23%|██▎ | 66/291 [00:01<00:06, 36.63it/s] Loading 0: 24%|██▍ | 70/291 [00:02<00:06, 35.55it/s] Loading 0: 25%|██▌ | 74/291 [00:02<00:06, 36.03it/s] Loading 0: 27%|██▋ | 78/291 [00:02<00:05, 35.92it/s] Loading 0: 28%|██▊ | 82/291 [00:02<00:08, 24.94it/s] Loading 0: 29%|██▉ | 85/291 [00:02<00:07, 25.90it/s] Loading 0: 31%|███ | 90/291 [00:02<00:06, 30.76it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:06, 30.81it/s] Loading 0: 34%|███▍ | 99/291 [00:02<00:05, 34.72it/s] Loading 0: 35%|███▌ | 103/291 [00:03<00:05, 33.88it/s] Loading 0: 37%|███▋ | 108/291 [00:03<00:04, 36.77it/s] Loading 0: 38%|███▊ | 112/291 [00:03<00:05, 34.59it/s] Loading 0: 40%|███▉ | 116/291 [00:03<00:05, 34.02it/s] Loading 0: 42%|████▏ | 122/291 [00:03<00:04, 39.03it/s] Loading 0: 44%|████▎ | 127/291 [00:03<00:04, 37.19it/s] Loading 0: 46%|████▌ | 133/291 [00:03<00:04, 32.32it/s] Loading 0: 47%|████▋ | 137/291 [00:04<00:04, 32.35it/s] Loading 0: 48%|████▊ | 141/291 [00:04<00:04, 30.16it/s] Loading 0: 51%|█████ | 147/291 [00:04<00:04, 34.79it/s] Loading 0: 52%|█████▏ | 151/291 [00:04<00:04, 33.52it/s] Loading 0: 54%|█████▎ | 156/291 [00:04<00:03, 35.98it/s] Loading 0: 55%|█████▍ | 160/291 [00:04<00:03, 32.97it/s] Loading 0: 57%|█████▋ | 165/291 [00:04<00:03, 35.01it/s] Loading 0: 58%|█████▊ | 169/291 [00:05<00:03, 34.08it/s] Loading 0: 60%|█████▉ | 174/291 [00:05<00:03, 36.30it/s] Loading 0: 61%|██████ | 178/291 [00:05<00:03, 34.10it/s] Loading 0: 63%|██████▎ | 183/291 [00:05<00:02, 37.58it/s] Loading 0: 64%|██████▍ | 187/291 [00:05<00:03, 27.18it/s] Loading 0: 66%|██████▌ | 191/291 [00:05<00:03, 28.10it/s] Loading 0: 67%|██████▋ | 195/291 [00:05<00:03, 26.67it/s] Loading 0: 69%|██████▉ | 201/291 [00:06<00:02, 31.82it/s] Loading 0: 70%|███████ | 205/291 [00:06<00:02, 30.98it/s] Loading 0: 72%|███████▏ | 210/291 [00:06<00:02, 33.17it/s] Loading 0: 74%|███████▎ | 214/291 [00:06<00:02, 32.15it/s] Loading 0: 75%|███████▌ | 219/291 [00:06<00:02, 34.04it/s] Loading 0: 77%|███████▋ | 223/291 [00:06<00:02, 32.38it/s] Loading 0: 78%|███████▊ | 227/291 [00:06<00:01, 32.25it/s] Loading 0: 79%|███████▉ | 231/291 [00:06<00:01, 31.53it/s] Loading 0: 81%|████████ | 235/291 [00:07<00:02, 24.27it/s] Loading 0: 82%|████████▏ | 239/291 [00:07<00:02, 24.31it/s] Loading 0: 85%|████████▍ | 246/291 [00:07<00:01, 31.69it/s] Loading 0: 86%|████████▌ | 250/291 [00:07<00:01, 31.69it/s] Loading 0: 88%|████████▊ | 255/291 [00:07<00:01, 34.67it/s] Loading 0: 89%|████████▉ | 259/291 [00:07<00:00, 33.48it/s] Loading 0: 91%|█████████ | 264/291 [00:08<00:00, 35.97it/s] Loading 0: 92%|█████████▏| 268/291 [00:08<00:00, 34.62it/s] Loading 0: 94%|█████████▍| 273/291 [00:08<00:00, 37.20it/s] Loading 0: 95%|█████████▌| 277/291 [00:08<00:00, 35.23it/s] Loading 0: 97%|█████████▋| 281/291 [00:08<00:00, 34.24it/s] Loading 0: 98%|█████████▊| 286/291 [00:14<00:01, 2.60it/s] Loading 0: 99%|█████████▉| 289/291 [00:14<00:00, 3.24it/s]
Job riverise-model-trained-o-9186-v1-mkmlizer completed after 115.73s with status: succeeded
Stopping job with name riverise-model-trained-o-9186-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.71s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.13s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service riverise-model-trained-o-9186-v1
Waiting for inference service riverise-model-trained-o-9186-v1 to be ready
Inference service riverise-model-trained-o-9186-v1 ready after 180.936527967453s
Pipeline stage MKMLDeployer completed in 181.38s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.936561107635498s
Received healthy response to inference request in 1.5422403812408447s
Received healthy response to inference request in 1.890761137008667s
Received healthy response to inference request in 1.5885374546051025s
Received healthy response to inference request in 1.3397345542907715s
5 requests
0 failed requests
5th percentile: 1.3802357196807862
10th percentile: 1.4207368850708009
20th percentile: 1.50173921585083
30th percentile: 1.5514997959136962
40th percentile: 1.5700186252593995
50th percentile: 1.5885374546051025
60th percentile: 1.7094269275665284
70th percentile: 1.830316400527954
80th percentile: 1.8999211311340332
90th percentile: 1.9182411193847657
95th percentile: 1.9274011135101319
99th percentile: 1.9347291088104248
mean time: 1.6595669269561768
Pipeline stage StressChecker completed in 9.22s
run pipeline stage %s
Running pipeline stage TriggerMKMLProfilingPipeline
starting trigger_guanaco_pipeline %s
Pipeline stage TriggerMKMLProfilingPipeline completed in 5.70s
riverise-model-trained-o_9186_v1 status is now deployed due to DeploymentManager action
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLProfilerTemplater
Pipeline stage MKMLProfilerTemplater completed in 0.11s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeployer
Creating inference service riverise-model-trained-o-9186-v1-profiler
Waiting for inference service riverise-model-trained-o-9186-v1-profiler to be ready
Inference service riverise-model-trained-o-9186-v1-profiler ready after 190.41858649253845s
Pipeline stage MKMLProfilerDeployer completed in 190.82s
run pipeline stage %s
Running pipeline stage MKMLProfilerRunner
script pods %s
Pipeline stage MKMLProfilerRunner completed in 0.36s
run pipeline stage %s
Running pipeline stage MKMLProfilerDeleter
Checking if service riverise-model-trained-o-9186-v1-profiler is running
Tearing down inference service riverise-model-trained-o-9186-v1-profiler
Service riverise-model-trained-o-9186-v1-profiler has been torndown
Pipeline stage MKMLProfilerDeleter completed in 1.89s
riverise-model-trained-o_9186_v1 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics