submission_id: maldv-badger-kappa-llama-3-8b_v5
developer_uid: maldevide
best_of: 4
celo_rating: 1186.69
display_name: maldv-badger-kappa-l3-8b_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\nMemory: {memory}', 'prompt_template': '{prompt}. *feeling happy*<|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}
generation_params: {'temperature': 0.8, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.01, 'stopping_words': ['\n', '###', '<|eot_id|>', '</s>', '\n\n'], 'max_input_tokens': 1900, 'best_of': 4, 'max_output_tokens': 64}
is_internal_developer: False
language_model: maldv/badger-kappa-llama-3-8b
max_input_tokens: 1900
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: maldv/badger-kappa-llama
model_name: maldv-badger-kappa-l3-8b_v1
model_num_parameters: 8030261248.0
model_repo: maldv/badger-kappa-llama-3-8b
model_size: 8B
num_battles: 19574
num_wins: 10211
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: 2024-06-05T23:31:00+00:00
us_pacific_date: 2024-06-05
win_ratio: 0.5216613875549198
Resubmit model
Running pipeline stage MKMLizer
Starting job with name maldv-badger-kappa-llama-3-8b-v5-mkmlizer
Waiting for job on maldv-badger-kappa-llama-3-8b-v5-mkmlizer to finish
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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maldv-badger-kappa-llama-3-8b-v5-mkmlizer: ║ Version: 0.8.14 ║
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: ║ https://mk1.ai ║
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maldv-badger-kappa-llama-3-8b-v5-mkmlizer: ║ Chai Research Corp. ║
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maldv-badger-kappa-llama-3-8b-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
maldv-badger-kappa-llama-3-8b-v5-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-kappa-llama-3-8b-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Downloaded to shared memory in 64.912s
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: quantizing model to /dev/shm/model_cache
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:00<00:19, 15.13it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:04, 68.19it/s] Loading 0: 11%|█ | 32/291 [00:00<00:03, 82.83it/s] Loading 0: 15%|█▌ | 45/291 [00:00<00:02, 95.88it/s] Loading 0: 21%|██▏ | 62/291 [00:00<00:02, 86.20it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 98.79it/s] Loading 0: 32%|███▏ | 92/291 [00:01<00:02, 90.65it/s] Loading 0: 36%|███▋ | 106/291 [00:01<00:01, 101.49it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:01, 96.25it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:01, 103.75it/s] Loading 0: 52%|█████▏ | 152/291 [00:01<00:01, 95.46it/s] Loading 0: 57%|█████▋ | 166/291 [00:01<00:01, 103.89it/s] Loading 0: 63%|██████▎ | 182/291 [00:01<00:01, 95.91it/s] Loading 0: 67%|██████▋ | 195/291 [00:02<00:00, 103.15it/s] Loading 0: 73%|███████▎ | 212/291 [00:02<00:00, 97.83it/s] Loading 0: 77%|███████▋ | 225/291 [00:02<00:00, 104.47it/s] Loading 0: 82%|████████▏ | 240/291 [00:02<00:00, 114.91it/s] Loading 0: 87%|████████▋ | 253/291 [00:02<00:00, 96.66it/s] Loading 0: 91%|█████████▏| 266/291 [00:02<00:00, 104.08it/s] Loading 0: 96%|█████████▌| 278/291 [00:08<00:01, 7.91it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: quantized model in 23.350s
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Processed model maldv/badger-kappa-llama-3-8b in 90.791s
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: creating bucket guanaco-mkml-models
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v5
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v5/config.json
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v5/special_tokens_map.json
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v5/tokenizer_config.json
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v5/tokenizer.json
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v5/flywheel_model.0.safetensors
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
maldv-badger-kappa-llama-3-8b-v5-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-kappa-llama-3-8b-v5-mkmlizer: warnings.warn(
maldv-badger-kappa-llama-3-8b-v5-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-kappa-llama-3-8b-v5-mkmlizer: warnings.warn(
maldv-badger-kappa-llama-3-8b-v5-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-kappa-llama-3-8b-v5-mkmlizer: warnings.warn(
maldv-badger-kappa-llama-3-8b-v5-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-kappa-llama-3-8b-v5-mkmlizer: return self.fget.__get__(instance, owner)()
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Saving duration: 0.395s
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.249s
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: creating bucket guanaco-reward-models
maldv-badger-kappa-llama-3-8b-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v5_reward/reward.tensors
Job maldv-badger-kappa-llama-3-8b-v5-mkmlizer completed after 123.82s with status: succeeded
Stopping job with name maldv-badger-kappa-llama-3-8b-v5-mkmlizer
Pipeline stage MKMLizer completed in 128.50s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service maldv-badger-kappa-llama-3-8b-v5
Waiting for inference service maldv-badger-kappa-llama-3-8b-v5 to be ready
Inference service maldv-badger-kappa-llama-3-8b-v5 ready after 40.30534887313843s
Pipeline stage ISVCDeployer completed in 48.24s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.955207347869873s
Received healthy response to inference request in 1.1795995235443115s
Received healthy response to inference request in 1.1671383380889893s
Received healthy response to inference request in 1.1612234115600586s
Received healthy response to inference request in 1.1600241661071777s
5 requests
0 failed requests
5th percentile: 1.160264015197754
10th percentile: 1.16050386428833
20th percentile: 1.1609835624694824
30th percentile: 1.1624063968658447
40th percentile: 1.164772367477417
50th percentile: 1.1671383380889893
60th percentile: 1.1721228122711183
70th percentile: 1.177107286453247
80th percentile: 1.334721088409424
90th percentile: 1.6449642181396484
95th percentile: 1.8000857830047605
99th percentile: 1.9241830348968505
mean time: 1.324638557434082
Pipeline stage StressChecker completed in 7.19s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
maldv-badger-kappa-llama-3-8b_v5 status is now deployed due to DeploymentManager action
maldv-badger-kappa-llama-3-8b_v5 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of maldv-badger-kappa-llama-3-8b_v5
Running pipeline stage ISVCDeleter
Checking if service maldv-badger-kappa-llama-3-8b-v5 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.25s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key maldv-badger-kappa-llama-3-8b-v5/config.json from bucket guanaco-mkml-models
Deleting key maldv-badger-kappa-llama-3-8b-v5/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key maldv-badger-kappa-llama-3-8b-v5/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key maldv-badger-kappa-llama-3-8b-v5/tokenizer.json from bucket guanaco-mkml-models
Deleting key maldv-badger-kappa-llama-3-8b-v5/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/config.json from bucket guanaco-reward-models
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/merges.txt from bucket guanaco-reward-models
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/reward.tensors from bucket guanaco-reward-models
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key maldv-badger-kappa-llama-3-8b-v5_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.59s
maldv-badger-kappa-llama-3-8b_v5 status is now torndown due to DeploymentManager action