submission_id: nitral-ai-eris-primev3-0_1317_v1
developer_uid: Nitral-AI
status: inactive
model_repo: Nitral-AI/Eris_PrimeV3.075-Vision-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, '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}:'}
reward_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}:'}
timestamp: 2024-03-25T13:38:17+00:00
model_name: nitral-ai-eris-primev3-0_1317_v1
model_eval_status: success
safety_score: 0.97
entertaining: 6.98
stay_in_character: 8.58
user_preference: 7.34
double_thumbs_up: 383
thumbs_up: 607
thumbs_down: 283
num_battles: 67427
num_wins: 34025
win_ratio: 0.5046198110549186
celo_rating: 1160.66
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-eris-primev3-0-1317-v1-mkmlizer
Waiting for job on nitral-ai-eris-primev3-0-1317-v1-mkmlizer to finish
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ /___/ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ belonging to: ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Downloaded to shared memory in 31.607s
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Reading /tmp/tmpzmgr3ke5/model.safetensors.index.json
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:30, 9.52it/s] Profiling: 5%|▍ | 14/291 [00:00<00:03, 78.90it/s] Profiling: 9%|▉ | 26/291 [00:00<00:02, 95.15it/s] Profiling: 14%|█▎ | 40/291 [00:00<00:02, 112.04it/s] Profiling: 18%|█▊ | 52/291 [00:00<00:02, 81.78it/s] Profiling: 23%|██▎ | 67/291 [00:00<00:02, 99.18it/s] Profiling: 28%|██▊ | 81/291 [00:00<00:01, 109.88it/s] Profiling: 32%|███▏ | 93/291 [00:02<00:07, 25.20it/s] Profiling: 36%|███▌ | 104/291 [00:02<00:05, 32.12it/s] Profiling: 41%|████ | 119/291 [00:02<00:04, 40.08it/s] Profiling: 45%|████▌ | 131/291 [00:02<00:03, 49.11it/s] Profiling: 49%|████▉ | 142/291 [00:02<00:02, 57.53it/s] Profiling: 54%|█████▍ | 157/291 [00:04<00:06, 22.29it/s] Profiling: 58%|█████▊ | 168/291 [00:04<00:04, 28.25it/s] Profiling: 62%|██████▏ | 179/291 [00:04<00:03, 35.38it/s] Profiling: 66%|██████▋ | 193/291 [00:04<00:02, 45.03it/s] Profiling: 70%|███████ | 204/291 [00:04<00:01, 53.65it/s] Profiling: 75%|███████▍ | 218/291 [00:04<00:01, 65.97it/s] Profiling: 80%|████████ | 233/291 [00:04<00:00, 81.19it/s] Profiling: 84%|████████▍ | 245/291 [00:05<00:00, 72.80it/s] Profiling: 88%|████████▊ | 256/291 [00:05<00:00, 79.48it/s] Profiling: 93%|█████████▎| 270/291 [00:05<00:00, 91.71it/s] Profiling: 97%|█████████▋| 282/291 [00:05<00:00, 76.99it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 52.61it/s]
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: quantized model in 16.704s
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Processed model Nitral-AI/Eris_PrimeV3.075-Vision-7B in 49.394s
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1/tokenizer.model
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1/tokenizer.json
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1/special_tokens_map.json
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1/config.json
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1/tokenizer_config.json
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v1/mkml_model.tensors
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: warnings.warn(
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 26.4MB/s]
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: warnings.warn(
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:23, 61.1MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:19, 71.4MB/s] pytorch_model.bin: 4%|▍ | 62.9M/1.44G [00:00<00:07, 186MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:04, 293MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:00<00:03, 395MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:02, 468MB/s] pytorch_model.bin: 22%|██▏ | 315M/1.44G [00:00<00:02, 472MB/s] pytorch_model.bin: 25%|██▌ | 367M/1.44G [00:00<00:02, 472MB/s] pytorch_model.bin: 30%|██▉ | 427M/1.44G [00:01<00:02, 431MB/s] pytorch_model.bin: 33%|███▎ | 480M/1.44G [00:02<00:06, 156MB/s] pytorch_model.bin: 36%|███▌ | 522M/1.44G [00:02<00:05, 175MB/s] pytorch_model.bin: 38%|███▊ | 553M/1.44G [00:02<00:06, 144MB/s] pytorch_model.bin: 42%|████▏ | 606M/1.44G [00:02<00:04, 187MB/s] pytorch_model.bin: 69%|██████▉ | 994M/1.44G [00:02<00:00, 724MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 263MB/s]
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Saving duration: 0.312s
nitral-ai-eris-primev3-0-1317-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 10.522s
Job nitral-ai-eris-primev3-0-1317-v1-mkmlizer completed after 194.54s with status: succeeded
Stopping job with name nitral-ai-eris-primev3-0-1317-v1-mkmlizer
Pipeline stage MKMLizer completed in 198.00s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-eris-primev3-0-1317-v1
Waiting for inference service nitral-ai-eris-primev3-0-1317-v1 to be ready
Inference service nitral-ai-eris-primev3-0-1317-v1 ready after 60.378063678741455s
Pipeline stage ISVCDeployer completed in 67.70s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.6361486911773682s
Received healthy response to inference request in 1.0281116962432861s
Received healthy response to inference request in 1.0999476909637451s
Received healthy response to inference request in 1.0828051567077637s
Received healthy response to inference request in 1.108187198638916s
5 requests
0 failed requests
5th percentile: 1.0390503883361817
10th percentile: 1.0499890804290772
20th percentile: 1.0718664646148681
30th percentile: 1.08623366355896
40th percentile: 1.0930906772613525
50th percentile: 1.0999476909637451
60th percentile: 1.1032434940338134
70th percentile: 1.1065392971038819
80th percentile: 1.2137794971466065
90th percentile: 1.4249640941619874
95th percentile: 1.5305563926696777
99th percentile: 1.61503023147583
mean time: 1.1910400867462159
Pipeline stage StressChecker completed in 6.78s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.04s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-eris-primev3-0_1317_v1 status is now inactive due to auto deactivation removed underperforming models

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