submission_id: saishf-multi-verse-rp-7b_v1
developer_uid: saishf
status: inactive
model_repo: saishf/Multi-Verse-RP-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: 2024-03-26T12:30:32+00:00
model_name: saishf-multi-verse-rp-7b_v1
model_eval_status: success
safety_score: 0.97
entertaining: 7.18
stay_in_character: 8.69
user_preference: 7.42
double_thumbs_up: 352
thumbs_up: 546
thumbs_down: 243
num_battles: 67422
num_wins: 31160
win_ratio: 0.4621636854439204
celo_rating: 1131.1
Resubmit model
Running pipeline stage MKMLizer
Starting job with name saishf-multi-verse-rp-7b-v1-mkmlizer
Waiting for job on saishf-multi-verse-rp-7b-v1-mkmlizer to finish
saishf-multi-verse-rp-7b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ _____ __ __ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ /___/ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ Version: 0.6.11 ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ The license key for the current software has been verified as ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ belonging to: ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ Chai Research Corp. ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ║ ║
saishf-multi-verse-rp-7b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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saishf-multi-verse-rp-7b-v1-mkmlizer: Downloaded to shared memory in 33.797s
saishf-multi-verse-rp-7b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
saishf-multi-verse-rp-7b-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
saishf-multi-verse-rp-7b-v1-mkmlizer: Reading /tmp/tmpuzm9j8oz/model.safetensors.index.json
saishf-multi-verse-rp-7b-v1-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:36, 7.85it/s] Profiling: 3%|▎ | 9/291 [00:00<00:06, 44.45it/s] Profiling: 8%|▊ | 22/291 [00:00<00:03, 74.66it/s] Profiling: 12%|█▏ | 35/291 [00:00<00:02, 92.94it/s] Profiling: 15%|█▌ | 45/291 [00:00<00:03, 68.03it/s] Profiling: 20%|█▉ | 58/291 [00:00<00:02, 82.15it/s] Profiling: 23%|██▎ | 68/291 [00:00<00:02, 83.35it/s] Profiling: 27%|██▋ | 80/291 [00:02<00:12, 17.47it/s] Profiling: 31%|███▏ | 91/291 [00:02<00:08, 23.56it/s] Profiling: 35%|███▍ | 101/291 [00:02<00:06, 30.15it/s] Profiling: 40%|████ | 117/291 [00:02<00:03, 44.38it/s] Profiling: 44%|████▍ | 128/291 [00:03<00:03, 45.44it/s] Profiling: 48%|████▊ | 141/291 [00:03<00:02, 57.01it/s] Profiling: 52%|█████▏ | 152/291 [00:03<00:02, 63.63it/s] Profiling: 56%|█████▌ | 162/291 [00:03<00:02, 59.25it/s] Profiling: 61%|██████ | 177/291 [00:03<00:01, 74.29it/s] Profiling: 65%|██████▍ | 188/291 [00:03<00:01, 78.33it/s] Profiling: 69%|██████▉ | 201/291 [00:05<00:04, 19.56it/s] Profiling: 72%|███████▏ | 209/291 [00:05<00:03, 23.35it/s] Profiling: 75%|███████▌ | 219/291 [00:05<00:02, 29.10it/s] Profiling: 81%|████████ | 235/291 [00:05<00:01, 38.76it/s] Profiling: 85%|████████▍ | 246/291 [00:06<00:00, 46.27it/s] Profiling: 88%|████████▊ | 256/291 [00:06<00:00, 53.13it/s] Profiling: 93%|█████████▎| 270/291 [00:06<00:00, 67.66it/s] Profiling: 97%|█████████▋| 281/291 [00:06<00:00, 64.23it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 43.87it/s]
saishf-multi-verse-rp-7b-v1-mkmlizer: quantized model in 18.818s
saishf-multi-verse-rp-7b-v1-mkmlizer: Processed model saishf/Multi-Verse-RP-7B in 53.735s
saishf-multi-verse-rp-7b-v1-mkmlizer: creating bucket guanaco-mkml-models
saishf-multi-verse-rp-7b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
saishf-multi-verse-rp-7b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1/tokenizer_config.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1/special_tokens_map.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1/tokenizer.model
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1/config.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1/tokenizer.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/saishf-multi-verse-rp-7b-v1/mkml_model.tensors
saishf-multi-verse-rp-7b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
saishf-multi-verse-rp-7b-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.
saishf-multi-verse-rp-7b-v1-mkmlizer: warnings.warn(
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saishf-multi-verse-rp-7b-v1-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.
saishf-multi-verse-rp-7b-v1-mkmlizer: warnings.warn(
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saishf-multi-verse-rp-7b-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 28.1MB/s]
saishf-multi-verse-rp-7b-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 26.2MB/s]
saishf-multi-verse-rp-7b-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.
saishf-multi-verse-rp-7b-v1-mkmlizer: warnings.warn(
saishf-multi-verse-rp-7b-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:08, 159MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:03, 369MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 422MB/s] pytorch_model.bin: 19%|█▉ | 273M/1.44G [00:00<00:02, 523MB/s] pytorch_model.bin: 25%|██▍ | 357M/1.44G [00:00<00:01, 576MB/s] pytorch_model.bin: 29%|██▉ | 419M/1.44G [00:00<00:01, 589MB/s] pytorch_model.bin: 36%|███▌ | 514M/1.44G [00:00<00:01, 667MB/s] pytorch_model.bin: 43%|████▎ | 619M/1.44G [00:01<00:01, 736MB/s] pytorch_model.bin: 52%|█████▏ | 744M/1.44G [00:01<00:00, 854MB/s] pytorch_model.bin: 60%|██████ | 868M/1.44G [00:01<00:00, 956MB/s] pytorch_model.bin: 76%|███████▌ | 1.10G/1.44G [00:01<00:00, 1.32GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.59GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 284MB/s]
saishf-multi-verse-rp-7b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
saishf-multi-verse-rp-7b-v1-mkmlizer: Saving duration: 0.254s
saishf-multi-verse-rp-7b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.897s
saishf-multi-verse-rp-7b-v1-mkmlizer: creating bucket guanaco-reward-models
saishf-multi-verse-rp-7b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
saishf-multi-verse-rp-7b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward/special_tokens_map.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward/config.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward/tokenizer_config.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward/merges.txt
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward/vocab.json
saishf-multi-verse-rp-7b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/saishf-multi-verse-rp-7b-v1_reward/tokenizer.json
Job saishf-multi-verse-rp-7b-v1-mkmlizer completed after 85.61s with status: succeeded
Stopping job with name saishf-multi-verse-rp-7b-v1-mkmlizer
Pipeline stage MKMLizer completed in 91.49s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service saishf-multi-verse-rp-7b-v1
Waiting for inference service saishf-multi-verse-rp-7b-v1 to be ready
Inference service saishf-multi-verse-rp-7b-v1 ready after 50.40240788459778s
Pipeline stage ISVCDeployer completed in 58.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.680704116821289s
Received healthy response to inference request in 1.0993242263793945s
Received healthy response to inference request in 1.110555648803711s
Received healthy response to inference request in 1.00215744972229s
Received healthy response to inference request in 1.0931787490844727s
5 requests
0 failed requests
5th percentile: 1.0203617095947266
10th percentile: 1.0385659694671632
20th percentile: 1.074974489212036
30th percentile: 1.094407844543457
40th percentile: 1.0968660354614257
50th percentile: 1.0993242263793945
60th percentile: 1.1038167953491211
70th percentile: 1.1083093643188477
80th percentile: 1.2245853424072266
90th percentile: 1.452644729614258
95th percentile: 1.5666744232177734
99th percentile: 1.657898178100586
mean time: 1.1971840381622314
Pipeline stage StressChecker completed in 6.97s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.06s
Running M-Eval for topic stay_in_character
saishf-multi-verse-rp-7b_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
saishf-multi-verse-rp-7b_v1 status is now inactive due to auto deactivation removed underperforming models

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