submission_id: nitral-ai-infinite-stant_3029_v1
developer_uid: Nitral-AI
status: inactive
model_repo: Nitral-AI/Infinite-Stanta-Laylelemon-Maid-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: 2024-03-30T18:32:27+00:00
model_name: nitral-ai-infinite-stant_3029_v1
model_eval_status: success
safety_score: 0.93
entertaining: 6.9
stay_in_character: 8.58
user_preference: 7.46
double_thumbs_up: 164
thumbs_up: 244
thumbs_down: 135
num_battles: 25053
num_wins: 12605
win_ratio: 0.5031333572825609
celo_rating: 1159.62
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-infinite-stant-3029-v1-mkmlizer
Waiting for job on nitral-ai-infinite-stant-3029-v1-mkmlizer to finish
nitral-ai-infinite-stant-3029-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ /___/ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ Version: 0.6.11 ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ belonging to: ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ║ ║
nitral-ai-infinite-stant-3029-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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nitral-ai-infinite-stant-3029-v1-mkmlizer: Downloaded to shared memory in 34.373s
nitral-ai-infinite-stant-3029-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-infinite-stant-3029-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
nitral-ai-infinite-stant-3029-v1-mkmlizer: Reading /tmp/tmpaggct4cs/model.safetensors.index.json
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nitral-ai-infinite-stant-3029-v1-mkmlizer: quantized model in 16.593s
nitral-ai-infinite-stant-3029-v1-mkmlizer: Processed model Nitral-AI/Infinite-Stanta-Laylelemon-Maid-7B in 51.997s
nitral-ai-infinite-stant-3029-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-infinite-stant-3029-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-infinite-stant-3029-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1/tokenizer_config.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1/special_tokens_map.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1/config.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1/tokenizer.model
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1/tokenizer.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/nitral-ai-infinite-stant-3029-v1/mkml_model.tensors
nitral-ai-infinite-stant-3029-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-infinite-stant-3029-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.
nitral-ai-infinite-stant-3029-v1-mkmlizer: warnings.warn(
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nitral-ai-infinite-stant-3029-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.
nitral-ai-infinite-stant-3029-v1-mkmlizer: warnings.warn(
nitral-ai-infinite-stant-3029-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:07, 192MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:09, 142MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:00<00:02, 466MB/s] pytorch_model.bin: 15%|█▍ | 210M/1.44G [00:00<00:02, 481MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:00<00:03, 347MB/s] pytorch_model.bin: 21%|██ | 304M/1.44G [00:00<00:03, 317MB/s] pytorch_model.bin: 24%|██▍ | 346M/1.44G [00:01<00:04, 261MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:01<00:03, 268MB/s] pytorch_model.bin: 33%|███▎ | 482M/1.44G [00:01<00:02, 436MB/s] pytorch_model.bin: 49%|████▊ | 703M/1.44G [00:01<00:00, 843MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 896MB/s]
nitral-ai-infinite-stant-3029-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-infinite-stant-3029-v1-mkmlizer: Saving duration: 0.257s
nitral-ai-infinite-stant-3029-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.813s
nitral-ai-infinite-stant-3029-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-infinite-stant-3029-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-infinite-stant-3029-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/config.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/special_tokens_map.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/merges.txt
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/tokenizer_config.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/vocab.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/tokenizer.json
nitral-ai-infinite-stant-3029-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-infinite-stant-3029-v1_reward/reward.tensors
Job nitral-ai-infinite-stant-3029-v1-mkmlizer completed after 84.94s with status: succeeded
Stopping job with name nitral-ai-infinite-stant-3029-v1-mkmlizer
Pipeline stage MKMLizer completed in 90.37s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-infinite-stant-3029-v1
Waiting for inference service nitral-ai-infinite-stant-3029-v1 to be ready
Inference service nitral-ai-infinite-stant-3029-v1 ready after 30.665760278701782s
Pipeline stage ISVCDeployer completed in 38.71s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4299111366271973s
Received healthy response to inference request in 0.7911117076873779s
Exception raised while processing tagging_function
Received healthy response to inference request in 1.5390796661376953s
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
Received healthy response to inference request in 0.5254380702972412s
Received healthy response to inference request in 1.0637028217315674s
5 requests
0 failed requests
5th percentile: 0.5785727977752686
10th percentile: 0.6317075252532959
20th percentile: 0.7379769802093505
30th percentile: 0.8456299304962158
40th percentile: 0.9546663761138916
50th percentile: 1.0637028217315674
60th percentile: 1.2101861476898192
70th percentile: 1.3566694736480711
80th percentile: 1.451744842529297
90th percentile: 1.495412254333496
95th percentile: 1.5172459602355957
99th percentile: 1.5347129249572753
mean time: 1.0698486804962157
Pipeline stage StressChecker completed in 6.27s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-infinite-stant_3029_v1 status is now deployed due to DeploymentManager action
nitral-ai-infinite-stant_3029_v1 status is now inactive due to auto deactivation removed underperforming models

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