submission_id: nitral-ai-kukul-stanta-0_6065_v2
developer_uid: Nitral-AI
status: inactive
model_repo: Nitral-AI/Kukul-Stanta-0.420-32k-7B-0.2
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': 16, '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: 2024-03-31T23:18:16+00:00
model_name: nitral-ai-kukul-stanta-0_6065_v2
model_eval_status: success
safety_score: 0.98
entertaining: 7.08
stay_in_character: 8.5
user_preference: 7.28
double_thumbs_up: 124
thumbs_up: 179
thumbs_down: 78
num_battles: 10474
num_wins: 5309
win_ratio: 0.5068741645980523
celo_rating: 1162.2
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-kukul-stanta-0-6065-v2-mkmlizer
Waiting for job on nitral-ai-kukul-stanta-0-6065-v2-mkmlizer to finish
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ _____ __ __ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ /___/ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ belonging to: ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ║ ║
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Downloaded to shared memory in 22.712s
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Reading /tmp/tmpwqp_3068/model.safetensors.index.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<02:20, 2.06it/s] Profiling: 3%|▎ | 9/291 [00:00<00:14, 19.36it/s] Profiling: 7%|▋ | 21/291 [00:00<00:06, 42.98it/s] Profiling: 11%|█ | 32/291 [00:00<00:04, 58.54it/s] Profiling: 14%|█▍ | 41/291 [00:01<00:04, 52.61it/s] Profiling: 18%|█▊ | 51/291 [00:01<00:03, 62.01it/s] Profiling: 22%|██▏ | 63/291 [00:01<00:03, 74.10it/s] Profiling: 25%|██▌ | 73/291 [00:01<00:02, 77.57it/s] Profiling: 28%|██▊ | 82/291 [00:01<00:03, 65.20it/s] Profiling: 32%|███▏ | 92/291 [00:01<00:02, 72.46it/s] Profiling: 36%|███▌ | 104/291 [00:01<00:02, 83.97it/s] Profiling: 42%|████▏ | 121/291 [00:03<00:07, 21.57it/s] Profiling: 45%|████▌ | 132/291 [00:03<00:05, 27.45it/s] Profiling: 49%|████▉ | 144/291 [00:03<00:04, 35.74it/s] Profiling: 54%|█████▍ | 157/291 [00:03<00:03, 42.95it/s] Profiling: 58%|█████▊ | 168/291 [00:03<00:02, 50.45it/s] Profiling: 62%|██████▏ | 179/291 [00:03<00:01, 58.06it/s] Profiling: 67%|██████▋ | 194/291 [00:04<00:01, 72.60it/s] Profiling: 70%|███████ | 205/291 [00:05<00:03, 22.77it/s] Profiling: 75%|███████▌ | 219/291 [00:05<00:02, 31.45it/s] Profiling: 80%|████████ | 234/291 [00:05<00:01, 38.84it/s] Profiling: 85%|████████▍ | 246/291 [00:05<00:00, 47.19it/s] Profiling: 88%|████████▊ | 257/291 [00:06<00:00, 54.39it/s] Profiling: 93%|█████████▎| 272/291 [00:06<00:00, 61.20it/s] Profiling: 97%|█████████▋| 281/291 [00:06<00:00, 63.10it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 45.29it/s]
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: quantized model in 17.097s
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Processed model Nitral-AI/Kukul-Stanta-0.420-32k-7B-0.2 in 40.795s
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-kukul-stanta-0-6065-v2
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-kukul-stanta-0-6065-v2/config.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-kukul-stanta-0-6065-v2/special_tokens_map.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-kukul-stanta-0-6065-v2/tokenizer_config.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-kukul-stanta-0-6065-v2/tokenizer.model
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-kukul-stanta-0-6065-v2/tokenizer.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-kukul-stanta-0-6065-v2-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-kukul-stanta-0-6065-v2-mkmlizer: warnings.warn(
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 8.89MB/s]
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: warnings.warn(
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.54MB/s]
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 12.0MB/s]
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.9MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.8MB/s]
nitral-ai-kukul-stanta-0-6065-v2-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-kukul-stanta-0-6065-v2-mkmlizer: warnings.warn(
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:17, 79.2MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:06, 228MB/s] pytorch_model.bin: 12%|█▏ | 168M/1.44G [00:00<00:02, 459MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:02, 580MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:00<00:01, 573MB/s] pytorch_model.bin: 28%|██▊ | 398M/1.44G [00:00<00:01, 560MB/s] pytorch_model.bin: 38%|███▊ | 545M/1.44G [00:00<00:01, 789MB/s] pytorch_model.bin: 46%|████▌ | 661M/1.44G [00:01<00:00, 883MB/s] pytorch_model.bin: 57%|█████▋ | 818M/1.44G [00:01<00:00, 1.01GB/s] pytorch_model.bin: 72%|███████▏ | 1.04G/1.44G [00:01<00:00, 1.32GB/s] pytorch_model.bin: 89%|████████▉ | 1.29G/1.44G [00:01<00:00, 1.59GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:02<00:00, 685MB/s]
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Saving duration: 0.251s
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.432s
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/config.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/special_tokens_map.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/tokenizer_config.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/merges.txt
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/vocab.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/tokenizer.json
nitral-ai-kukul-stanta-0-6065-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-kukul-stanta-0-6065-v2_reward/reward.tensors
Job nitral-ai-kukul-stanta-0-6065-v2-mkmlizer completed after 88.28s with status: succeeded
Stopping job with name nitral-ai-kukul-stanta-0-6065-v2-mkmlizer
Pipeline stage MKMLizer completed in 92.89s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-kukul-stanta-0-6065-v2
Waiting for inference service nitral-ai-kukul-stanta-0-6065-v2 to be ready
Inference service nitral-ai-kukul-stanta-0-6065-v2 ready after 30.202666521072388s
Pipeline stage ISVCDeployer completed in 37.65s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4867634773254395s
Received healthy response to inference request in 0.9724299907684326s
Received healthy response to inference request in 1.1714227199554443s
Received healthy response to inference request in 2.311337471008301s
Received healthy response to inference request in 1.2820038795471191s
5 requests
0 failed requests
5th percentile: 1.012228536605835
10th percentile: 1.0520270824432374
20th percentile: 1.131624174118042
30th percentile: 1.1935389518737793
40th percentile: 1.2377714157104491
50th percentile: 1.2820038795471191
60th percentile: 1.3639077186584472
70th percentile: 1.4458115577697754
80th percentile: 1.651678276062012
90th percentile: 1.9815078735351563
95th percentile: 2.1464226722717283
99th percentile: 2.278354511260986
mean time: 1.4447915077209472
Pipeline stage StressChecker completed in 8.11s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-kukul-stanta-0_6065_v2 status is now deployed due to DeploymentManager action
nitral-ai-kukul-stanta-0_6065_v2 status is now inactive due to auto deactivation removed underperforming models

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