submission_id: zeuslabs-l3-aethora-15b-v2_v8
developer_uid: end_to_end_test
best_of: 4
celo_rating: 1130.6
display_name: zeuslabs-l3-aethora-15b-v2_v8
family_friendly_score: 0.0
formatter: {'memory_template': 'character: {bot_name} {memory}\n', 'prompt_template': '{prompt}', 'bot_template': '{bot_name}: {message}', 'user_template': '{user_name}: {message}', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.99, 'min_p': 0.1, '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}
ineligible_reason: model is only for e2e test
is_internal_developer: True
language_model: ZeusLabs/L3-Aethora-15B-V2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: ZeusLabs/L3-Aethora-15B-
model_name: zeuslabs-l3-aethora-15b-v2_v8
model_num_parameters: 15009845248.0
model_repo: ZeusLabs/L3-Aethora-15B-V2
model_size: 15B
num_battles: 25299
num_wins: 10967
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}', 'memory_template': 'character: {bot_name} {memory}\n', 'prompt_template': '{prompt}', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}'}
reward_repo: ChaiML/reward_models_100_170000000_cp_498032
status: torndown
submission_type: basic
timestamp: 2024-06-29T00:54:20+00:00
us_pacific_date: 2024-06-28
win_ratio: 0.43349539507490414
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zeuslabs-l3-aethora-15b-v2-v8-mkmlizer
Waiting for job on zeuslabs-l3-aethora-15b-v2-v8-mkmlizer to finish
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ _____ __ __ ║
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zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ /___/ ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ Version: 0.8.14 ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ https://mk1.ai ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ The license key for the current software has been verified as ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ belonging to: ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ Chai Research Corp. ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: warnings.warn(warning_message, FutureWarning)
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Downloaded to shared memory in 36.089s
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: quantizing model to /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Loading 0: 0%| | 0/579 [00:00<?, ?it/s] Loading 0: 2%|▏ | 14/579 [00:00<00:04, 121.25it/s] Loading 0: 5%|▌ | 31/579 [00:00<00:03, 140.31it/s] Loading 0: 8%|▊ | 48/579 [00:00<00:03, 152.01it/s] Loading 0: 11%|█ | 64/579 [00:00<00:03, 153.42it/s] Loading 0: 14%|█▍ | 80/579 [00:00<00:03, 149.64it/s] Loading 0: 17%|█▋ | 96/579 [00:00<00:06, 74.62it/s] Loading 0: 20%|█▉ | 113/579 [00:01<00:05, 90.18it/s] Loading 0: 23%|██▎ | 131/579 [00:01<00:04, 106.37it/s] Loading 0: 26%|██▌ | 148/579 [00:01<00:03, 119.88it/s] Loading 0: 29%|██▊ | 166/579 [00:01<00:03, 129.96it/s] Loading 0: 32%|███▏ | 184/579 [00:01<00:02, 141.35it/s] Loading 0: 35%|███▍ | 200/579 [00:01<00:04, 87.37it/s] Loading 0: 37%|███▋ | 213/579 [00:01<00:03, 94.72it/s] Loading 0: 40%|███▉ | 230/579 [00:02<00:03, 107.22it/s] Loading 0: 43%|████▎ | 248/579 [00:02<00:02, 120.28it/s] Loading 0: 46%|████▌ | 266/579 [00:02<00:02, 130.19it/s] Loading 0: 49%|████▊ | 282/579 [00:02<00:02, 137.12it/s] Loading 0: 51%|█████▏ | 297/579 [00:02<00:03, 88.46it/s] Loading 0: 54%|█████▍ | 312/579 [00:02<00:02, 99.98it/s] Loading 0: 57%|█████▋ | 329/579 [00:02<00:02, 113.36it/s] Loading 0: 60%|█████▉ | 347/579 [00:03<00:01, 125.90it/s] Loading 0: 63%|██████▎ | 365/579 [00:03<00:01, 136.92it/s] Loading 0: 66%|██████▌ | 383/579 [00:03<00:01, 143.85it/s] Loading 0: 69%|██████▉ | 399/579 [00:03<00:01, 93.00it/s] Loading 0: 72%|███████▏ | 417/579 [00:03<00:01, 107.39it/s] Loading 0: 75%|███████▌ | 435/579 [00:03<00:01, 120.34it/s] Loading 0: 78%|███████▊ | 453/579 [00:03<00:00, 131.98it/s] Loading 0: 81%|████████ | 469/579 [00:04<00:00, 138.52it/s] Loading 0: 84%|████████▍ | 485/579 [00:04<00:00, 143.49it/s] Loading 0: 87%|████████▋ | 501/579 [00:04<00:00, 91.61it/s] Loading 0: 89%|████████▉ | 516/579 [00:20<00:00, 91.61it/s] Loading 0: 89%|████████▉ | 517/579 [00:20<00:18, 3.38it/s] Loading 0: 92%|█████████▏| 534/579 [00:20<00:09, 4.84it/s] Loading 0: 95%|█████████▍| 549/579 [00:20<00:04, 6.64it/s] Loading 0: 97%|█████████▋| 563/579 [00:20<00:01, 8.94it/s] Loading 0: 100%|██████████| 579/579 [00:26<00:00, 5.44it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: quantized model in 33.530s
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Processed model ZeusLabs/L3-Aethora-15B-V2 in 74.549s
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: creating bucket guanaco-mkml-models
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8/config.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8/flywheel_model.1.safetensors
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v8/flywheel_model.0.safetensors
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: loading reward model from ChaiML/reward_models_100_170000000_cp_498032
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: return self.fget.__get__(instance, owner)()
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Saving duration: 0.155s
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Processed model ChaiML/reward_models_100_170000000_cp_498032 in 4.929s
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: creating bucket guanaco-reward-models
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/config.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/merges.txt
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/vocab.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v8-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v8_reward/reward.tensors
Job zeuslabs-l3-aethora-15b-v2-v8-mkmlizer completed after 106.39s with status: succeeded
Stopping job with name zeuslabs-l3-aethora-15b-v2-v8-mkmlizer
Pipeline stage MKMLizer completed in 107.96s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.47s
Running pipeline stage ISVCDeployer
Creating inference service zeuslabs-l3-aethora-15b-v2-v8
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v8 to be ready
Inference service zeuslabs-l3-aethora-15b-v2-v8 ready after 40.56815552711487s
Pipeline stage ISVCDeployer completed in 47.98s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.012845516204834s
Received healthy response to inference request in 2.2689027786254883s
Received healthy response to inference request in 2.268754720687866s
Received healthy response to inference request in 2.2875263690948486s
Received healthy response to inference request in 2.271890878677368s
5 requests
0 failed requests
5th percentile: 2.2687843322753904
10th percentile: 2.268813943862915
20th percentile: 2.268873167037964
30th percentile: 2.269500398635864
40th percentile: 2.2706956386566164
50th percentile: 2.271890878677368
60th percentile: 2.2781450748443604
70th percentile: 2.2843992710113525
80th percentile: 2.432590198516846
90th percentile: 2.72271785736084
95th percentile: 2.8677816867828367
99th percentile: 2.9838327503204347
mean time: 2.421984052658081
Pipeline stage StressChecker completed in 16.65s
zeuslabs-l3-aethora-15b-v2_v8 status is now deployed due to DeploymentManager action
zeuslabs-l3-aethora-15b-v2_v8 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of zeuslabs-l3-aethora-15b-v2_v8
Running pipeline stage ISVCDeleter
Checking if service zeuslabs-l3-aethora-15b-v2-v8 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.62s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key zeuslabs-l3-aethora-15b-v2-v8/config.json from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8/tokenizer.json from bucket guanaco-mkml-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/config.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/merges.txt from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/reward.tensors from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key zeuslabs-l3-aethora-15b-v2-v8_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.54s
zeuslabs-l3-aethora-15b-v2_v8 status is now torndown due to DeploymentManager action