submission_id: maldv-badger-iota-llama-3-8b_v1
developer_uid: maldevide
best_of: 8
celo_rating: 1163.06
display_name: maldv-badger-iota-llama-3-8b_v1
family_friendly_score: 0.0
formatter: {'memory_template': '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name}, and are meeting {user_name}.\n\nUse *emotes*\n\nMemory: {memory}', 'prompt_template': "{prompt}. Don't say too much.<|eot_id|>", 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.01, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: maldv/badger-iota-llama-3-8b
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: maldv/badger-iota-llama-
model_name: maldv-badger-iota-llama-3-8b_v1
model_num_parameters: 8030261248.0
model_repo: maldv/badger-iota-llama-3-8b
model_size: 8B
num_battles: 21962
num_wins: 10821
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-05-23T19:13:11+00:00
us_pacific_date: 2024-05-23
win_ratio: 0.492714689008287
Resubmit model
Running pipeline stage MKMLizer
Starting job with name maldv-badger-iota-llama-3-8b-v1-mkmlizer
Waiting for job on maldv-badger-iota-llama-3-8b-v1-mkmlizer to finish
maldv-badger-iota-llama-3-8b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ ║
maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ Version: 0.8.14 ║
maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ https://mk1.ai ║
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maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ Chai Research Corp. ║
maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
maldv-badger-iota-llama-3-8b-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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maldv-badger-iota-llama-3-8b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
maldv-badger-iota-llama-3-8b-v1-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.
maldv-badger-iota-llama-3-8b-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:00<00:18, 15.71it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:03, 69.35it/s] Loading 0: 11%|█ | 32/291 [00:00<00:03, 84.24it/s] Loading 0: 15%|█▌ | 44/291 [00:00<00:02, 95.03it/s] Loading 0: 21%|██ | 61/291 [00:00<00:01, 117.41it/s] Loading 0: 25%|██▌ | 74/291 [00:00<00:02, 88.41it/s] Loading 0: 29%|██▉ | 85/291 [00:00<00:02, 87.53it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:02, 74.90it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:01, 96.18it/s] Loading 0: 43%|████▎ | 124/291 [00:01<00:01, 84.81it/s] Loading 0: 48%|████▊ | 139/291 [00:01<00:01, 97.51it/s] Loading 0: 52%|█████▏ | 152/291 [00:01<00:01, 85.98it/s] Loading 0: 56%|█████▌ | 162/291 [00:01<00:01, 84.94it/s] Loading 0: 60%|██████ | 176/291 [00:01<00:01, 94.95it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 84.24it/s] Loading 0: 70%|██████▉ | 203/291 [00:02<00:00, 100.10it/s] Loading 0: 74%|███████▎ | 214/291 [00:02<00:00, 88.49it/s] Loading 0: 79%|███████▊ | 229/291 [00:02<00:00, 101.18it/s] Loading 0: 83%|████████▎ | 242/291 [00:02<00:00, 89.77it/s] Loading 0: 88%|████████▊ | 256/291 [00:02<00:00, 100.97it/s] Loading 0: 93%|█████████▎| 270/291 [00:02<00:00, 110.32it/s] Loading 0: 97%|█████████▋| 282/291 [00:08<00:01, 7.86it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
maldv-badger-iota-llama-3-8b-v1-mkmlizer: quantized model in 23.562s
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Processed model maldv/badger-iota-llama-3-8b in 75.316s
maldv-badger-iota-llama-3-8b-v1-mkmlizer: creating bucket guanaco-mkml-models
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
maldv-badger-iota-llama-3-8b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/maldv-badger-iota-llama-3-8b-v1
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/maldv-badger-iota-llama-3-8b-v1/special_tokens_map.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/maldv-badger-iota-llama-3-8b-v1/config.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/maldv-badger-iota-llama-3-8b-v1/tokenizer_config.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/maldv-badger-iota-llama-3-8b-v1/tokenizer.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
maldv-badger-iota-llama-3-8b-v1-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.
maldv-badger-iota-llama-3-8b-v1-mkmlizer: warnings.warn(
maldv-badger-iota-llama-3-8b-v1-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.
maldv-badger-iota-llama-3-8b-v1-mkmlizer: warnings.warn(
maldv-badger-iota-llama-3-8b-v1-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.
maldv-badger-iota-llama-3-8b-v1-mkmlizer: warnings.warn(
maldv-badger-iota-llama-3-8b-v1-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()
maldv-badger-iota-llama-3-8b-v1-mkmlizer: return self.fget.__get__(instance, owner)()
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Saving duration: 0.398s
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.173s
maldv-badger-iota-llama-3-8b-v1-mkmlizer: creating bucket guanaco-reward-models
maldv-badger-iota-llama-3-8b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
maldv-badger-iota-llama-3-8b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward/special_tokens_map.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward/config.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward/tokenizer_config.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward/merges.txt
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward/vocab.json
maldv-badger-iota-llama-3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/maldv-badger-iota-llama-3-8b-v1_reward/tokenizer.json
Job maldv-badger-iota-llama-3-8b-v1-mkmlizer completed after 110.54s with status: succeeded
Stopping job with name maldv-badger-iota-llama-3-8b-v1-mkmlizer
Pipeline stage MKMLizer completed in 118.43s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service maldv-badger-iota-llama-3-8b-v1
Waiting for inference service maldv-badger-iota-llama-3-8b-v1 to be ready
Inference service maldv-badger-iota-llama-3-8b-v1 ready after 30.19861626625061s
Pipeline stage ISVCDeployer completed in 41.76s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.033691167831421s
Received healthy response to inference request in 1.236128807067871s
Received healthy response to inference request in 1.210188627243042s
Received healthy response to inference request in 1.2348213195800781s
Received healthy response to inference request in 1.2714996337890625s
5 requests
0 failed requests
5th percentile: 1.2151151657104493
10th percentile: 1.2200417041778564
20th percentile: 1.2298947811126708
30th percentile: 1.2350828170776367
40th percentile: 1.235605812072754
50th percentile: 1.236128807067871
60th percentile: 1.2502771377563477
70th percentile: 1.2644254684448242
80th percentile: 1.4239379405975343
90th percentile: 1.7288145542144777
95th percentile: 1.881252861022949
99th percentile: 2.0032035064697267
mean time: 1.397265911102295
Pipeline stage StressChecker completed in 7.62s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.03s
M-Eval Dataset for topic stay_in_character is loaded
maldv-badger-iota-llama-3-8b_v1 status is now deployed due to DeploymentManager action
maldv-badger-iota-llama-3-8b_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of maldv-badger-iota-llama-3-8b_v1
Running pipeline stage ISVCDeleter
Checking if service maldv-badger-iota-llama-3-8b-v1 is running
Tearing down inference service maldv-badger-iota-llama-3-8b-v1
Toredown service maldv-badger-iota-llama-3-8b-v1
Pipeline stage ISVCDeleter completed in 3.56s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key maldv-badger-iota-llama-3-8b-v1/config.json from bucket guanaco-mkml-models
Deleting key maldv-badger-iota-llama-3-8b-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key maldv-badger-iota-llama-3-8b-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key maldv-badger-iota-llama-3-8b-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key maldv-badger-iota-llama-3-8b-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/config.json from bucket guanaco-reward-models
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key maldv-badger-iota-llama-3-8b-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 1.95s
maldv-badger-iota-llama-3-8b_v1 status is now torndown due to DeploymentManager action