submission_id: nitral-ai-eris-primev4-2_4089_v3
developer_uid: chai_backend_admin
status: inactive
model_repo: Nitral-AI/Eris_PrimeV4.20-Vision-32k-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: 2024-04-02T16:19:57+00:00
model_name: auto_submit_ricum_cajibepibe
model_eval_status: success
safety_score: 0.97
entertaining: 6.62
stay_in_character: 8.29
user_preference: 6.88
double_thumbs_up: 252
thumbs_up: 448
thumbs_down: 270
num_battles: 24121
num_wins: 10121
win_ratio: 0.41959288586708676
celo_rating: 1097.22
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-eris-primev4-2-4089-v3-mkmlizer
Waiting for job on nitral-ai-eris-primev4-2-4089-v3-mkmlizer to finish
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ _____ __ __ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ /___/ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ belonging to: ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ║ ║
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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nitral-ai-eris-primev4-2-4089-v3-mkmlizer: Downloaded to shared memory in 61.009s
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: Reading /tmp/tmpr310yqbe/model.safetensors.index.json
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nitral-ai-eris-primev4-2-4089-v3-mkmlizer: quantized model in 17.460s
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3/config.json
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3/special_tokens_map.json
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3/tokenizer_config.json
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3/tokenizer.model
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3/tokenizer.json
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-eris-primev4-2-4089-v3/mkml_model.tensors
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-eris-primev4-2-4089-v3-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-primev4-2-4089-v3-mkmlizer: warnings.warn(
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nitral-ai-eris-primev4-2-4089-v3-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-primev4-2-4089-v3-mkmlizer: warnings.warn(
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.82MB/s]
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 13.0MB/s]
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 38.7MB/s]
nitral-ai-eris-primev4-2-4089-v3-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-primev4-2-4089-v3-mkmlizer: warnings.warn(
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:09, 151MB/s] pytorch_model.bin: 9%|▊ | 126M/1.44G [00:00<00:02, 565MB/s] pytorch_model.bin: 13%|█▎ | 189M/1.44G [00:00<00:02, 514MB/s] pytorch_model.bin: 20%|█▉ | 283M/1.44G [00:00<00:02, 520MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:00<00:01, 579MB/s] pytorch_model.bin: 31%|███ | 451M/1.44G [00:00<00:01, 606MB/s] pytorch_model.bin: 41%|████▏ | 598M/1.44G [00:00<00:01, 829MB/s] pytorch_model.bin: 64%|██████▍ | 923M/1.44G [00:01<00:00, 1.49GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.24GB/s]
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-eris-primev4-2-4089-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-eris-primev4-2-4089-v3_reward/reward.tensors
Job nitral-ai-eris-primev4-2-4089-v3-mkmlizer completed after 260.96s with status: succeeded
Stopping job with name nitral-ai-eris-primev4-2-4089-v3-mkmlizer
Pipeline stage MKMLizer completed in 264.42s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-eris-primev4-2-4089-v3
Waiting for inference service nitral-ai-eris-primev4-2-4089-v3 to be ready
Inference service nitral-ai-eris-primev4-2-4089-v3 ready after 50.34615135192871s
Pipeline stage ISVCDeployer completed in 57.48s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.0329668521881104s
Received healthy response to inference request in 0.738408088684082s
Received healthy response to inference request in 0.3360910415649414s
Received healthy response to inference request in 0.5933711528778076s
Received healthy response to inference request in 0.45030784606933594s
5 requests
0 failed requests
5th percentile: 0.3589344024658203
10th percentile: 0.3817777633666992
20th percentile: 0.42746448516845703
30th percentile: 0.47892050743103026
40th percentile: 0.536145830154419
50th percentile: 0.5933711528778076
60th percentile: 0.6513859272003174
70th percentile: 0.7094007015228271
80th percentile: 0.7973198413848878
90th percentile: 0.915143346786499
95th percentile: 0.9740550994873046
99th percentile: 1.0211845016479493
mean time: 0.6302289962768555
Pipeline stage StressChecker completed in 3.97s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-eris-primev4-2_4089_v3 status is now deployed due to DeploymentManager action
nitral-ai-eris-primev4-2_4089_v3 status is now inactive due to auto deactivation removed underperforming models

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