developer_uid: Hastagaras
submission_id: hastagaras-llama-3-8b-o128_v3
model_name: eMoJi
model_group: Hastagaras/llama-3-8b-o1
status: torndown
timestamp: 2024-05-15T01:45:17+00:00
num_battles: 15769
num_wins: 8578
celo_rating: 1197.14
family_friendly_score: 0.0
submission_type: basic
model_repo: Hastagaras/llama-3-8b-o128
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: eMoJi
is_internal_developer: False
language_model: Hastagaras/llama-3-8b-o128
model_size: 8B
ranking_group: single
us_pacific_date: 2024-05-14
win_ratio: 0.5439786923711079
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 1.05, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou're {bot_name} in this roleplay chat between {user_name} and {bot_name}. Always write your response as {bot_name} based on the following description.\n\nDescription: {memory}\n", 'prompt_template': 'Previously: {prompt}.\n\nNotes: Use emojis to express your emotions or feelings.<|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: {'bot_template': 'Bot: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{prompt}\n', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
model_eval_status: success
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-llama-3-8b-o128-v3-mkmlizer
Waiting for job on hastagaras-llama-3-8b-o128-v3-mkmlizer to finish
hastagaras-llama-3-8b-o128-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║     _____            __           __                                ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║       /___/                                                         ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  Version: 0.8.14                                                    ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  https://mk1.ai                                                     ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  belonging to:                                                      ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ║                                                                     ║
hastagaras-llama-3-8b-o128-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-llama-3-8b-o128-v3-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.
hastagaras-llama-3-8b-o128-v3-mkmlizer:   warnings.warn(warning_message, FutureWarning)
hastagaras-llama-3-8b-o128-v3-mkmlizer: Downloaded to shared memory in 14.748s
hastagaras-llama-3-8b-o128-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-llama-3-8b-o128-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-llama-3-8b-o128-v3-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-llama-3-8b-o128-v3-mkmlizer: quantized model in 20.137s
hastagaras-llama-3-8b-o128-v3-mkmlizer: Processed model Hastagaras/llama-3-8b-o128 in 35.830s
hastagaras-llama-3-8b-o128-v3-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-llama-3-8b-o128-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-llama-3-8b-o128-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-llama-3-8b-o128-v3
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-o128-v3/config.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-o128-v3/special_tokens_map.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-o128-v3/tokenizer_config.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-llama-3-8b-o128-v3/tokenizer.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-llama-3-8b-o128-v3/flywheel_model.0.safetensors
hastagaras-llama-3-8b-o128-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-llama-3-8b-o128-v3-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.
hastagaras-llama-3-8b-o128-v3-mkmlizer:   warnings.warn(
hastagaras-llama-3-8b-o128-v3-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.
hastagaras-llama-3-8b-o128-v3-mkmlizer:   warnings.warn(
hastagaras-llama-3-8b-o128-v3-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.
hastagaras-llama-3-8b-o128-v3-mkmlizer:   warnings.warn(
hastagaras-llama-3-8b-o128-v3-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()
hastagaras-llama-3-8b-o128-v3-mkmlizer:   return self.fget.__get__(instance, owner)()
hastagaras-llama-3-8b-o128-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-llama-3-8b-o128-v3-mkmlizer: Saving duration: 0.242s
hastagaras-llama-3-8b-o128-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.436s
hastagaras-llama-3-8b-o128-v3-mkmlizer: creating bucket guanaco-reward-models
hastagaras-llama-3-8b-o128-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-llama-3-8b-o128-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/config.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/tokenizer_config.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/special_tokens_map.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/vocab.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/merges.txt
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/tokenizer.json
hastagaras-llama-3-8b-o128-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-llama-3-8b-o128-v3_reward/reward.tensors
Job hastagaras-llama-3-8b-o128-v3-mkmlizer completed after 104.44s with status: succeeded
Stopping job with name hastagaras-llama-3-8b-o128-v3-mkmlizer
Pipeline stage MKMLizer completed in 108.30s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-llama-3-8b-o128-v3
Waiting for inference service hastagaras-llama-3-8b-o128-v3 to be ready
Inference service hastagaras-llama-3-8b-o128-v3 ready after 30.254626989364624s
Pipeline stage ISVCDeployer completed in 37.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.304851531982422s
Received healthy response to inference request in 1.299074411392212s
Received healthy response to inference request in 1.3380622863769531s
Received healthy response to inference request in 1.4595777988433838s
Received healthy response to inference request in 1.3159761428833008s
5 requests
0 failed requests
5th percentile: 1.3024547576904297
10th percentile: 1.3058351039886475
20th percentile: 1.312595796585083
30th percentile: 1.3203933715820313
40th percentile: 1.329227828979492
50th percentile: 1.3380622863769531
60th percentile: 1.3866684913635254
70th percentile: 1.4352746963500977
80th percentile: 1.6286325454711916
90th percentile: 1.9667420387268066
95th percentile: 2.1357967853546143
99th percentile: 2.2710405826568603
mean time: 1.5435084342956542
Pipeline stage StressChecker completed in 9.99s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.07s
hastagaras-llama-3-8b-o128_v3 status is now deployed due to DeploymentManager action
hastagaras-llama-3-8b-o128_v3 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hastagaras-llama-3-8b-o128_v3
Running pipeline stage ISVCDeleter
Checking if service hastagaras-llama-3-8b-o128-v3 is running
Tearing down inference service hastagaras-llama-3-8b-o128-v3
Tearing down inference service hastagaras-llama-3-8b-o128-v2
Toredown service hastagaras-llama-3-8b-o128-v3
Toredown service hastagaras-llama-3-8b-o128-v2
Pipeline stage ISVCDeleter completed in 5.38s
Running pipeline stage MKMLModelDeleter
Pipeline stage ISVCDeleter completed in 5.99s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
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Cleaning model data from model cache
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Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
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Cleaning model data from model cache
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Deleting key hastagaras-llama-3-8b-o128-v3_reward/special_tokens_map.json from bucket guanaco-reward-models
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Pipeline stage MKMLModelDeleter completed in 3.00s
Pipeline stage MKMLModelDeleter completed in 2.94s
hastagaras-llama-3-8b-o128_v3 status is now torndown due to DeploymentManager action