submission_id: steelskull-aethora-7b-v1_v1
developer_uid: Steelskull
status: torndown
model_repo: Steelskull/Aethora-7b-v1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, '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}:', 'truncate_by_message': False}
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}:', 'truncate_by_message': False}
timestamp: 2024-04-02T04:52:23+00:00
model_name: steelskull-aethora-7b-v1_v1
model_eval_status: success
model_group: Steelskull/Aethora-7b-v1
num_battles: 5370
num_wins: 2252
celo_rating: 1105.59
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: steelskull-aethora-7b-v1_v1
ineligible_reason: propriety_total_count < 800
language_model: Steelskull/Aethora-7b-v1
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-01
win_ratio: 0.41936685288640596
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name steelskull-aethora-7b-v1-v1-mkmlizer
Waiting for job on steelskull-aethora-7b-v1-v1-mkmlizer to finish
steelskull-aethora-7b-v1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
steelskull-aethora-7b-v1-v1-mkmlizer: ║ _____ __ __ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ /___/ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ Version: 0.6.11 ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ The license key for the current software has been verified as ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ belonging to: ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ Chai Research Corp. ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
steelskull-aethora-7b-v1-v1-mkmlizer: ║ ║
steelskull-aethora-7b-v1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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steelskull-aethora-7b-v1-v1-mkmlizer: quantized model in 14.589s
steelskull-aethora-7b-v1-v1-mkmlizer: Processed model Steelskull/Aethora-7b-v1 in 59.791s
steelskull-aethora-7b-v1-v1-mkmlizer: creating bucket guanaco-mkml-models
steelskull-aethora-7b-v1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
steelskull-aethora-7b-v1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1
steelskull-aethora-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1/config.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1/special_tokens_map.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1/tokenizer.model
steelskull-aethora-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1/tokenizer_config.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1/tokenizer.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/steelskull-aethora-7b-v1-v1/mkml_model.tensors
steelskull-aethora-7b-v1-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
steelskull-aethora-7b-v1-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.
steelskull-aethora-7b-v1-v1-mkmlizer: warnings.warn(
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steelskull-aethora-7b-v1-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.
steelskull-aethora-7b-v1-v1-mkmlizer: warnings.warn(
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steelskull-aethora-7b-v1-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:25, 56.9MB/s] pytorch_model.bin: 1%|▏ | 21.0M/1.44G [00:00<00:31, 45.3MB/s] pytorch_model.bin: 5%|▌ | 73.4M/1.44G [00:00<00:08, 162MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:04, 276MB/s] pytorch_model.bin: 14%|█▍ | 199M/1.44G [00:00<00:03, 347MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:00<00:02, 405MB/s] pytorch_model.bin: 23%|██▎ | 325M/1.44G [00:01<00:02, 455MB/s] pytorch_model.bin: 27%|██▋ | 388M/1.44G [00:01<00:02, 501MB/s] pytorch_model.bin: 31%|███ | 448M/1.44G [00:01<00:05, 185MB/s] pytorch_model.bin: 34%|███▍ | 490M/1.44G [00:02<00:06, 143MB/s] pytorch_model.bin: 37%|███▋ | 532M/1.44G [00:02<00:06, 150MB/s] pytorch_model.bin: 39%|███▉ | 564M/1.44G [00:02<00:05, 164MB/s] pytorch_model.bin: 44%|████▍ | 637M/1.44G [00:02<00:03, 241MB/s] pytorch_model.bin: 56%|█████▋ | 815M/1.44G [00:02<00:01, 492MB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:03<00:00, 468MB/s]
steelskull-aethora-7b-v1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
steelskull-aethora-7b-v1-v1-mkmlizer: Saving duration: 0.210s
steelskull-aethora-7b-v1-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.135s
steelskull-aethora-7b-v1-v1-mkmlizer: creating bucket guanaco-reward-models
steelskull-aethora-7b-v1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
steelskull-aethora-7b-v1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/config.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/special_tokens_map.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/merges.txt
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/tokenizer_config.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/vocab.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/tokenizer.json
steelskull-aethora-7b-v1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/steelskull-aethora-7b-v1-v1_reward/reward.tensors
Job steelskull-aethora-7b-v1-v1-mkmlizer completed after 85.26s with status: succeeded
Stopping job with name steelskull-aethora-7b-v1-v1-mkmlizer
Pipeline stage MKMLizer completed in 88.78s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service steelskull-aethora-7b-v1-v1
Waiting for inference service steelskull-aethora-7b-v1-v1 to be ready
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
Inference service steelskull-aethora-7b-v1-v1 ready after 100.70575594902039s
Pipeline stage ISVCDeployer completed in 107.78s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.2728610038757324s
Received healthy response to inference request in 0.86962890625s
Received healthy response to inference request in 0.6740036010742188s
Received healthy response to inference request in 1.0305869579315186s
Received healthy response to inference request in 1.1352794170379639s
5 requests
0 failed requests
5th percentile: 0.713128662109375
10th percentile: 0.7522537231445312
20th percentile: 0.8305038452148438
30th percentile: 0.9018205165863037
40th percentile: 0.9662037372589112
50th percentile: 1.0305869579315186
60th percentile: 1.0724639415740966
70th percentile: 1.1143409252166747
80th percentile: 1.1627957344055175
90th percentile: 1.217828369140625
95th percentile: 1.2453446865081788
99th percentile: 1.2673577404022216
mean time: 0.9964719772338867
Pipeline stage StressChecker completed in 5.80s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
steelskull-aethora-7b-v1_v1 status is now deployed due to DeploymentManager action
steelskull-aethora-7b-v1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of steelskull-aethora-7b-v1_v1
Running pipeline stage ISVCDeleter
Checking if service steelskull-aethora-7b-v1-v1 is running
Tearing down inference service steelskull-aethora-7b-v1-v1
Toredown service steelskull-aethora-7b-v1-v1
Pipeline stage ISVCDeleter completed in 3.80s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key steelskull-aethora-7b-v1-v1/config.json from bucket guanaco-mkml-models
Deleting key steelskull-aethora-7b-v1-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key steelskull-aethora-7b-v1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key steelskull-aethora-7b-v1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key steelskull-aethora-7b-v1-v1/tokenizer.model from bucket guanaco-mkml-models
Deleting key steelskull-aethora-7b-v1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key steelskull-aethora-7b-v1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key steelskull-aethora-7b-v1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key steelskull-aethora-7b-v1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key steelskull-aethora-7b-v1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key steelskull-aethora-7b-v1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key steelskull-aethora-7b-v1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key steelskull-aethora-7b-v1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.17s
steelskull-aethora-7b-v1_v1 status is now torndown due to DeploymentManager action

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