submission_id: zeuslabs-l3-aethora-15b-v2_v15
developer_uid: Steelskull
status: inactive
model_repo: ZeusLabs/L3-Aethora-15B-V2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, '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': '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{memory}<|eot_id|>', 'prompt_template': '<|start_header_id|>system<|end_header_id|>\n\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{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: 2024-06-29T22:17:17+00:00
model_name: zeuslabs-l3-aethora-15b-v2_v15
model_group: ZeusLabs/L3-Aethora-15B-
num_battles: 29315
num_wins: 13372
celo_rating: 1151.95
propriety_score: 0.7276947628028435
propriety_total_count: 13786.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 15009845248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: zeuslabs-l3-aethora-15b-v2_v15
ineligible_reason: None
language_model: ZeusLabs/L3-Aethora-15B-V2
model_size: 15B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-29
win_ratio: 0.45614872931946104
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zeuslabs-l3-aethora-15b-v2-v15-mkmlizer
Waiting for job on zeuslabs-l3-aethora-15b-v2-v15-mkmlizer to finish
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ _____ __ __ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ /___/ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ Version: 0.8.14 ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ https://mk1.ai ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ The license key for the current software has been verified as ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ belonging to: ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ Chai Research Corp. ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ║ ║
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zeuslabs-l3-aethora-15b-v2-v15-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-v15-mkmlizer: warnings.warn(warning_message, FutureWarning)
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Downloaded to shared memory in 33.560s
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: quantizing model to /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Loading 0: 0%| | 0/579 [00:00<?, ?it/s] Loading 0: 2%|▏ | 14/579 [00:00<00:04, 128.40it/s] Loading 0: 6%|▌ | 32/579 [00:00<00:03, 145.07it/s] Loading 0: 8%|▊ | 49/579 [00:00<00:03, 154.55it/s] Loading 0: 11%|█▏ | 66/579 [00:00<00:03, 160.23it/s] Loading 0: 14%|█▍ | 83/579 [00:00<00:06, 81.10it/s] Loading 0: 16%|█▋ | 95/579 [00:00<00:05, 87.16it/s] Loading 0: 19%|█▉ | 112/579 [00:01<00:04, 104.99it/s] Loading 0: 22%|██▏ | 126/579 [00:01<00:04, 106.76it/s] Loading 0: 24%|██▍ | 139/579 [00:01<00:04, 103.40it/s] Loading 0: 27%|██▋ | 156/579 [00:01<00:03, 116.87it/s] Loading 0: 29%|██▉ | 170/579 [00:01<00:03, 122.60it/s] Loading 0: 32%|███▏ | 187/579 [00:01<00:04, 78.42it/s] Loading 0: 35%|███▍ | 201/579 [00:01<00:04, 87.87it/s] Loading 0: 37%|███▋ | 216/579 [00:02<00:03, 100.16it/s] Loading 0: 40%|███▉ | 230/579 [00:02<00:03, 107.69it/s] Loading 0: 43%|████▎ | 248/579 [00:02<00:02, 121.75it/s] Loading 0: 46%|████▌ | 265/579 [00:02<00:02, 133.17it/s] Loading 0: 49%|████▊ | 282/579 [00:02<00:02, 138.60it/s] Loading 0: 51%|█████▏ | 297/579 [00:02<00:03, 84.72it/s] Loading 0: 53%|█████▎ | 309/579 [00:02<00:02, 90.76it/s] Loading 0: 56%|█████▋ | 327/579 [00:03<00:02, 106.44it/s] Loading 0: 59%|█████▉ | 342/579 [00:03<00:02, 115.59it/s] Loading 0: 61%|██████▏ | 356/579 [00:03<00:01, 120.84it/s] Loading 0: 64%|██████▍ | 373/579 [00:03<00:01, 133.11it/s] Loading 0: 68%|██████▊ | 393/579 [00:03<00:02, 90.65it/s] Loading 0: 70%|██████▉ | 405/579 [00:03<00:01, 95.22it/s] Loading 0: 72%|███████▏ | 419/579 [00:03<00:01, 103.90it/s] Loading 0: 75%|███████▌ | 437/579 [00:04<00:01, 118.10it/s] Loading 0: 79%|███████▊ | 455/579 [00:04<00:00, 129.19it/s] Loading 0: 82%|████████▏ | 473/579 [00:04<00:00, 136.90it/s] Loading 0: 85%|████████▌ | 493/579 [00:04<00:00, 94.14it/s] Loading 0: 88%|████████▊ | 507/579 [00:04<00:00, 101.34it/s] Loading 0: 89%|████████▉ | 516/579 [00:20<00:00, 101.34it/s] Loading 0: 89%|████████▉ | 517/579 [00:20<00:20, 3.04it/s] Loading 0: 92%|█████████▏| 534/579 [00:20<00:09, 4.51it/s] Loading 0: 95%|█████████▍| 550/579 [00:20<00:04, 6.44it/s] Loading 0: 98%|█████████▊| 565/579 [00:20<00:01, 8.93it/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-v15-mkmlizer: quantized model in 34.078s
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Processed model ZeusLabs/L3-Aethora-15B-V2 in 72.605s
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: creating bucket guanaco-mkml-models
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v15
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v15/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v15/config.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v15/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v15/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v15/flywheel_model.0.safetensors
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
zeuslabs-l3-aethora-15b-v2-v15-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-v15-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v15-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-v15-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v15-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-v15-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v15-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-v15-mkmlizer: return self.fget.__get__(instance, owner)()
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Saving duration: 0.405s
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.645s
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: creating bucket guanaco-reward-models
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/config.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/merges.txt
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/vocab.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v15-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v15_reward/reward.tensors
Job zeuslabs-l3-aethora-15b-v2-v15-mkmlizer completed after 104.16s with status: succeeded
Stopping job with name zeuslabs-l3-aethora-15b-v2-v15-mkmlizer
Pipeline stage MKMLizer completed in 105.17s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service zeuslabs-l3-aethora-15b-v2-v15
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v15 to be ready
Inference service zeuslabs-l3-aethora-15b-v2-v15 ready after 50.23781943321228s
Pipeline stage ISVCDeployer completed in 57.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2125163078308105s
Received healthy response to inference request in 1.863025426864624s
Received healthy response to inference request in 1.6620986461639404s
Received healthy response to inference request in 1.5931150913238525s
Received healthy response to inference request in 1.5538520812988281s
5 requests
0 failed requests
5th percentile: 1.561704683303833
10th percentile: 1.569557285308838
20th percentile: 1.5852624893188476
30th percentile: 1.60691180229187
40th percentile: 1.6345052242279052
50th percentile: 1.6620986461639404
60th percentile: 1.742469358444214
70th percentile: 1.8228400707244872
80th percentile: 1.9329236030578614
90th percentile: 2.072719955444336
95th percentile: 2.142618131637573
99th percentile: 2.198536672592163
mean time: 1.7769215106964111
Pipeline stage StressChecker completed in 10.39s
zeuslabs-l3-aethora-15b-v2_v15 status is now deployed due to DeploymentManager action
zeuslabs-l3-aethora-15b-v2_v15 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics