submission_id: nitral-ai-eris-primev3-0_1317_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: Nitral-AI/Eris_PrimeV3.075-Vision-7B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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: 2024-04-02T17:52:49+00:00
model_name: auto_submit_ricum_wecowuwena
model_eval_status: success
safety_score: 0.97
entertaining: 6.84
stay_in_character: 8.56
user_preference: 7.18
double_thumbs_up: 248
thumbs_up: 394
thumbs_down: 222
num_battles: 23397
num_wins: 10584
win_ratio: 0.45236568790870624
celo_rating: 1120.48
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-eris-primev3-0-1317-v2-mkmlizer
Waiting for job on nitral-ai-eris-primev3-0-1317-v2-mkmlizer to finish
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ _____ __ __ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ /___/ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ belonging to: ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ║ ║
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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Failed to get response for submission hflserdaniel-chai-s6-13b-slp3_v6: HTTPConnectionPool(host='hflserdaniel-chai-s6-13b-slp3-v6-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud', port=80): Read timed out. (read timeout=5.5)
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nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Downloaded to shared memory in 55.781s
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Reading /tmp/tmpbcxmr3op/model.safetensors.index.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:00<00:29, 9.96it/s] Profiling: 3%|▎ | 10/291 [00:00<00:04, 56.76it/s] Profiling: 9%|▊ | 25/291 [00:00<00:02, 94.33it/s] Profiling: 12%|█▏ | 36/291 [00:00<00:02, 96.24it/s] Profiling: 16%|█▌ | 46/291 [00:00<00:03, 64.90it/s] Profiling: 20%|██ | 59/291 [00:00<00:02, 79.30it/s] Profiling: 25%|██▍ | 72/291 [00:00<00:02, 92.00it/s] Profiling: 29%|██▊ | 83/291 [00:02<00:09, 21.28it/s] Profiling: 33%|███▎ | 95/291 [00:02<00:06, 28.51it/s] Profiling: 37%|███▋ | 107/291 [00:02<00:04, 37.50it/s] Profiling: 41%|████ | 119/291 [00:02<00:04, 40.79it/s] Profiling: 44%|████▍ | 128/291 [00:02<00:03, 46.13it/s] Profiling: 48%|████▊ | 140/291 [00:02<00:02, 57.13it/s] Profiling: 52%|█████▏ | 151/291 [00:03<00:02, 65.09it/s] Profiling: 55%|█████▌ | 161/291 [00:04<00:07, 17.87it/s] Profiling: 59%|█████▉ | 171/291 [00:04<00:05, 23.28it/s] Profiling: 64%|██████▍ | 186/291 [00:04<00:03, 33.96it/s] Profiling: 67%|██████▋ | 196/291 [00:05<00:02, 38.39it/s] Profiling: 71%|███████▏ | 208/291 [00:05<00:01, 48.27it/s] Profiling: 75%|███████▌ | 219/291 [00:05<00:01, 56.94it/s] Profiling: 80%|████████ | 234/291 [00:05<00:00, 58.72it/s] Profiling: 85%|████████▍ | 246/291 [00:05<00:00, 67.67it/s] Profiling: 88%|████████▊ | 257/291 [00:05<00:00, 73.86it/s] Profiling: 93%|█████████▎| 272/291 [00:05<00:00, 73.58it/s] Profiling: 97%|█████████▋| 281/291 [00:06<00:00, 76.42it/s] Profiling: 100%|██████████| 291/291 [00:06<00:00, 47.09it/s]
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: quantized model in 17.456s
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Processed model Nitral-AI/Eris_PrimeV3.075-Vision-7B in 74.655s
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2/tokenizer_config.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2/config.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2/tokenizer.model
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2/tokenizer.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2/special_tokens_map.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-eris-primev3-0-1317-v2/mkml_model.tensors
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-eris-primev3-0-1317-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-eris-primev3-0-1317-v2-mkmlizer: warnings.warn(
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nitral-ai-eris-primev3-0-1317-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-eris-primev3-0-1317-v2-mkmlizer: warnings.warn(
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.28MB/s]
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 36.9MB/s]
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 56.8MB/s]
nitral-ai-eris-primev3-0-1317-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-eris-primev3-0-1317-v2-mkmlizer: warnings.warn(
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:18, 79.0MB/s] pytorch_model.bin: 4%|▎ | 52.4M/1.44G [00:00<00:05, 247MB/s] pytorch_model.bin: 6%|▌ | 83.9M/1.44G [00:00<00:06, 221MB/s] pytorch_model.bin: 10%|█ | 147M/1.44G [00:00<00:03, 342MB/s] pytorch_model.bin: 17%|█▋ | 252M/1.44G [00:00<00:02, 506MB/s] pytorch_model.bin: 25%|██▌ | 367M/1.44G [00:00<00:01, 659MB/s] pytorch_model.bin: 34%|███▍ | 493M/1.44G [00:00<00:01, 808MB/s] pytorch_model.bin: 40%|███▉ | 577M/1.44G [00:01<00:01, 677MB/s] pytorch_model.bin: 45%|████▌ | 650M/1.44G [00:01<00:01, 638MB/s] pytorch_model.bin: 50%|█████ | 724M/1.44G [00:01<00:01, 643MB/s] pytorch_model.bin: 56%|█████▋ | 815M/1.44G [00:01<00:00, 683MB/s] pytorch_model.bin: 75%|███████▌ | 1.09G/1.44G [00:01<00:00, 1.20GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 891MB/s]
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Saving duration: 0.290s
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.639s
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/config.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/special_tokens_map.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/tokenizer_config.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/merges.txt
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/vocab.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/tokenizer.json
nitral-ai-eris-primev3-0-1317-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-eris-primev3-0-1317-v2_reward/reward.tensors
Job nitral-ai-eris-primev3-0-1317-v2-mkmlizer completed after 105.53s with status: succeeded
Stopping job with name nitral-ai-eris-primev3-0-1317-v2-mkmlizer
Pipeline stage MKMLizer completed in 106.50s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-eris-primev3-0-1317-v2
Waiting for inference service nitral-ai-eris-primev3-0-1317-v2 to be ready
Inference service nitral-ai-eris-primev3-0-1317-v2 ready after 50.38642501831055s
Pipeline stage ISVCDeployer completed in 56.21s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2619616985321045s
Received healthy response to inference request in 0.4476199150085449s
Received healthy response to inference request in 0.9835445880889893s
Received healthy response to inference request in 0.8310635089874268s
Received healthy response to inference request in 0.5945980548858643s
5 requests
0 failed requests
5th percentile: 0.4770155429840088
10th percentile: 0.5064111709594726
20th percentile: 0.5652024269104003
30th percentile: 0.6418911457061768
40th percentile: 0.7364773273468018
50th percentile: 0.8310635089874268
60th percentile: 0.8920559406280517
70th percentile: 0.9530483722686768
80th percentile: 1.0392280101776123
90th percentile: 1.1505948543548583
95th percentile: 1.2062782764434814
99th percentile: 1.25082501411438
mean time: 0.823757553100586
Pipeline stage StressChecker completed in 5.03s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.07s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-eris-primev3-0_1317_v2 status is now deployed due to DeploymentManager action
nitral-ai-eris-primev3-0_1317_v2 status is now inactive due to auto deactivation removed underperforming models

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