submission_id: nitral-ai-eris-primev4-6_2485_v2
developer_uid: chai_backend_admin
status: inactive
model_repo: Nitral-AI/Eris_PrimeV4.69-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: 2024-04-02T16:12:06+00:00
model_name: auto_submit_ricum_labuceyohe
model_eval_status: success
safety_score: 0.98
entertaining: 6.44
stay_in_character: 8.1
user_preference: 6.84
double_thumbs_up: 243
thumbs_up: 438
thumbs_down: 300
num_battles: 24268
num_wins: 9157
win_ratio: 0.37732816878193504
celo_rating: 1066.19
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-eris-primev4-6-2485-v2-mkmlizer
Waiting for job on nitral-ai-eris-primev4-6-2485-v2-mkmlizer to finish
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ _____ __ __ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ /___/ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ belonging to: ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ║ ║
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Downloaded to shared memory in 90.313s
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Reading /tmp/tmp4ayyff2g/model.safetensors.index.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 1%| | 2/291 [00:00<00:14, 19.65it/s] Profiling: 5%|▌ | 16/291 [00:00<00:03, 82.70it/s] Profiling: 9%|▉ | 27/291 [00:00<00:02, 90.16it/s] Profiling: 14%|█▍ | 42/291 [00:00<00:03, 81.92it/s] Profiling: 18%|█▊ | 53/291 [00:00<00:02, 88.34it/s] Profiling: 22%|██▏ | 65/291 [00:00<00:02, 95.44it/s] Profiling: 27%|██▋ | 80/291 [00:02<00:09, 23.18it/s] Profiling: 33%|███▎ | 95/291 [00:02<00:05, 33.06it/s] Profiling: 37%|███▋ | 108/291 [00:02<00:04, 42.47it/s] Profiling: 41%|████ | 120/291 [00:02<00:03, 47.65it/s] Profiling: 45%|████▌ | 131/291 [00:02<00:02, 55.97it/s] Profiling: 49%|████▉ | 144/291 [00:02<00:02, 67.82it/s] Profiling: 55%|█████▍ | 159/291 [00:02<00:01, 71.30it/s] Profiling: 58%|█████▊ | 170/291 [00:03<00:01, 77.94it/s] Profiling: 64%|██████▎ | 185/291 [00:03<00:01, 92.97it/s] Profiling: 68%|██████▊ | 198/291 [00:04<00:03, 24.98it/s] Profiling: 71%|███████▏ | 208/291 [00:04<00:02, 30.37it/s] Profiling: 78%|███████▊ | 226/291 [00:04<00:01, 44.70it/s] Profiling: 82%|████████▏ | 238/291 [00:04<00:01, 48.26it/s] Profiling: 86%|████████▌ | 250/291 [00:05<00:00, 57.59it/s] Profiling: 91%|█████████ | 264/291 [00:05<00:00, 70.63it/s] Profiling: 95%|█████████▍| 276/291 [00:05<00:00, 70.01it/s] Profiling: 100%|██████████| 291/291 [00:05<00:00, 52.96it/s]
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: quantized model in 15.772s
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Processed model Nitral-AI/Eris_PrimeV4.69-Vision-32k-7B in 107.054s
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2/special_tokens_map.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2/config.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2/tokenizer_config.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2/tokenizer.model
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2/tokenizer.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-eris-primev4-6-2485-v2/mkml_model.tensors
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-eris-primev4-6-2485-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-primev4-6-2485-v2-mkmlizer: warnings.warn(
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nitral-ai-eris-primev4-6-2485-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-primev4-6-2485-v2-mkmlizer: warnings.warn(
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nitral-ai-eris-primev4-6-2485-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-primev4-6-2485-v2-mkmlizer: warnings.warn(
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:08, 175MB/s] pytorch_model.bin: 8%|▊ | 115M/1.44G [00:00<00:02, 583MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:00<00:01, 727MB/s] pytorch_model.bin: 20%|██ | 294M/1.44G [00:00<00:01, 718MB/s] pytorch_model.bin: 27%|██▋ | 388M/1.44G [00:00<00:01, 791MB/s] pytorch_model.bin: 33%|███▎ | 472M/1.44G [00:00<00:01, 757MB/s] pytorch_model.bin: 39%|███▉ | 564M/1.44G [00:00<00:01, 800MB/s] pytorch_model.bin: 52%|█████▏ | 753M/1.44G [00:00<00:00, 1.08GB/s] pytorch_model.bin: 67%|██████▋ | 973M/1.44G [00:00<00:00, 1.39GB/s] pytorch_model.bin: 83%|████████▎ | 1.20G/1.44G [00:01<00:00, 1.65GB/s] pytorch_model.bin: 95%|█████████▍| 1.37G/1.44G [00:01<00:00, 1.53GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:05<00:00, 282MB/s]
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Saving duration: 0.258s
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 10.997s
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/config.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/special_tokens_map.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/tokenizer_config.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/vocab.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/merges.txt
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/tokenizer.json
nitral-ai-eris-primev4-6-2485-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-eris-primev4-6-2485-v2_reward/reward.tensors
Job nitral-ai-eris-primev4-6-2485-v2-mkmlizer completed after 136.82s with status: succeeded
Stopping job with name nitral-ai-eris-primev4-6-2485-v2-mkmlizer
Pipeline stage MKMLizer completed in 137.79s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-eris-primev4-6-2485-v2
Exception raised while processing tagging_function
Traceback (most recent call last): File "/code/guanaco/guanaco_services/src/guanaco_model_service/chat_api.py", line 274, in resolve_chat_api conversation_tag = self.tagging_function(conversation_state) File "/home/zongyi/gitlab/zztools/zztools/llm/guanaco/submit_routing_model.py", line 176, in last_user_message_length TypeError: 'ConversationMessage' object is not subscriptable
Waiting for inference service nitral-ai-eris-primev4-6-2485-v2 to be ready
Inference service nitral-ai-eris-primev4-6-2485-v2 ready after 50.359230518341064s
Pipeline stage ISVCDeployer completed in 56.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2375092506408691s
Received healthy response to inference request in 0.4340810775756836s
Received healthy response to inference request in 0.618828535079956s
Received healthy response to inference request in 0.5838565826416016s
Received healthy response to inference request in 0.5337295532226562s
5 requests
0 failed requests
5th percentile: 0.4540107727050781
10th percentile: 0.47394046783447263
20th percentile: 0.5137998580932617
30th percentile: 0.5437549591064453
40th percentile: 0.5638057708740234
50th percentile: 0.5838565826416016
60th percentile: 0.5978453636169434
70th percentile: 0.6118341445922851
80th percentile: 0.7425646781921388
90th percentile: 0.9900369644165039
95th percentile: 1.1137731075286865
99th percentile: 1.2127620220184325
mean time: 0.6816009998321533
Pipeline stage StressChecker completed in 4.36s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.06s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.06s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-eris-primev4-6_2485_v2 status is now deployed due to DeploymentManager action
nitral-ai-eris-primev4-6_2485_v2 status is now inactive due to auto deactivation removed underperforming models

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