submission_id: zeuslabs-l3-aethora-15b-v2_v14
developer_uid: elinas
status: inactive
model_repo: ZeusLabs/L3-Aethora-15B-V2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.5, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\\\\{bot_name}'s Persona: {memory}\\\\", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\\\\{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: 2024-06-29T03:18:50+00:00
model_name: l3-aethora-15b-v2-eot
model_group: ZeusLabs/L3-Aethora-15B-
num_battles: 19273
num_wins: 8351
celo_rating: 1126.43
propriety_score: 0.7060803474484256
propriety_total_count: 9210.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 15009845248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: l3-aethora-15b-v2-eot
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: 2024-06-28
win_ratio: 0.4333004721631298
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zeuslabs-l3-aethora-15b-v2-v14-mkmlizer
Waiting for job on zeuslabs-l3-aethora-15b-v2-v14-mkmlizer to finish
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: ║ Version: 0.8.14 ║
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: ║ https://mk1.ai ║
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zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zeuslabs-l3-aethora-15b-v2-v14-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-v14-mkmlizer: warnings.warn(warning_message, FutureWarning)
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Downloaded to shared memory in 33.087s
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: quantizing model to /dev/shm/model_cache
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: quantized model in 41.175s
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Processed model ZeusLabs/L3-Aethora-15B-V2 in 79.977s
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: creating bucket guanaco-mkml-models
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v14
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v14/config.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v14/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v14/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v14/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/zeuslabs-l3-aethora-15b-v2-v14/flywheel_model.1.safetensors
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
zeuslabs-l3-aethora-15b-v2-v14-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-v14-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v14-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-v14-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v14-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-v14-mkmlizer: warnings.warn(
zeuslabs-l3-aethora-15b-v2-v14-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-v14-mkmlizer: return self.fget.__get__(instance, owner)()
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Saving duration: 0.427s
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.346s
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: creating bucket guanaco-reward-models
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/config.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/special_tokens_map.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/tokenizer_config.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/merges.txt
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/vocab.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/tokenizer.json
zeuslabs-l3-aethora-15b-v2-v14-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zeuslabs-l3-aethora-15b-v2-v14_reward/reward.tensors
Job zeuslabs-l3-aethora-15b-v2-v14-mkmlizer completed after 115.17s with status: succeeded
Stopping job with name zeuslabs-l3-aethora-15b-v2-v14-mkmlizer
Pipeline stage MKMLizer completed in 116.43s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service zeuslabs-l3-aethora-15b-v2-v14
Waiting for inference service zeuslabs-l3-aethora-15b-v2-v14 to be ready
Failed to get response for submission mistralai-mixtral-8x7b-_3473_v33: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:35912->127.0.0.1:8080: read: connection reset by peer\n')
Inference service zeuslabs-l3-aethora-15b-v2-v14 ready after 100.4611644744873s
Pipeline stage ISVCDeployer completed in 107.73s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9013051986694336s
Received healthy response to inference request in 1.9641292095184326s
Received healthy response to inference request in 1.511218786239624s
Received healthy response to inference request in 1.621170997619629s
Received healthy response to inference request in 1.7963948249816895s
5 requests
0 failed requests
5th percentile: 1.533209228515625
10th percentile: 1.555199670791626
20th percentile: 1.599180555343628
30th percentile: 1.656215763092041
40th percentile: 1.7263052940368653
50th percentile: 1.7963948249816895
60th percentile: 1.8634885787963866
70th percentile: 1.930582332611084
80th percentile: 2.151564407348633
90th percentile: 2.526434803009033
95th percentile: 2.713870000839233
99th percentile: 2.8638181591033933
mean time: 1.9588438034057618
Pipeline stage StressChecker completed in 10.66s
zeuslabs-l3-aethora-15b-v2_v14 status is now deployed due to DeploymentManager action
zeuslabs-l3-aethora-15b-v2_v14 status is now inactive due to auto deactivation removed underperforming models

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