submission_id: hastagaras-jamet-8b-l3-mk-ii_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.II
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{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: 2024-06-05T01:50:39+00:00
model_name: jmetmk2
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 8998
num_wins: 4891
celo_rating: 1212.86
safety_score: 0.86
propriety_score: 0.69
propriety_total_count: 300.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: jmetmk2
ineligible_reason: propriety_total_count < 5000
language_model: Hastagaras/Jamet-8B-L3-MK.II
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-04
win_ratio: 0.5435652367192709
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer to finish
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: ║ Chai Research Corp. ║
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hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-mk-ii-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.
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Downloaded to shared memory in 28.388s
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 7%|▋ | 21/291 [00:00<00:01, 200.89it/s] Loading 0: 14%|█▍ | 42/291 [00:00<00:01, 200.31it/s] Loading 0: 23%|██▎ | 66/291 [00:00<00:01, 210.79it/s] Loading 0: 30%|███ | 88/291 [00:00<00:02, 100.73it/s] Loading 0: 38%|███▊ | 111/291 [00:00<00:01, 125.56it/s] Loading 0: 45%|████▍ | 130/291 [00:00<00:01, 139.94it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:00, 151.96it/s] Loading 0: 59%|█████▉ | 171/291 [00:01<00:00, 168.83it/s] Loading 0: 66%|██████▌ | 191/291 [00:01<00:00, 100.19it/s] Loading 0: 71%|███████ | 206/291 [00:01<00:00, 106.70it/s] Loading 0: 76%|███████▌ | 221/291 [00:01<00:00, 114.36it/s] Loading 0: 82%|████████▏ | 239/291 [00:01<00:00, 125.92it/s] Loading 0: 88%|████████▊ | 256/291 [00:01<00:00, 135.64it/s] Loading 0: 94%|█████████▍| 273/291 [00:02<00:00, 140.14it/s] Loading 0: 99%|█████████▉| 289/291 [00:07<00:00, 9.69it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: quantized model in 21.579s
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.II in 51.006s
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v1
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v1/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v1/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v1/config.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v1/tokenizer.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-ii-v1/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-mk-ii-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.
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-ii-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.
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-ii-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.
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-ii-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()
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Saving duration: 0.219s
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.474s
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/config.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/merges.txt
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/vocab.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/tokenizer.json
hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-ii-v1_reward/reward.tensors
Job hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer completed after 73.22s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-mk-ii-v1-mkmlizer
Pipeline stage MKMLizer completed in 78.19s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-mk-ii-v1
Waiting for inference service hastagaras-jamet-8b-l3-mk-ii-v1 to be ready
Inference service hastagaras-jamet-8b-l3-mk-ii-v1 ready after 30.208457708358765s
Pipeline stage ISVCDeployer completed in 37.83s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0546329021453857s
Received healthy response to inference request in 1.368591070175171s
Received healthy response to inference request in 1.3087093830108643s
Received healthy response to inference request in 1.3239524364471436s
Received healthy response to inference request in 1.2531993389129639s
5 requests
0 failed requests
5th percentile: 1.264301347732544
10th percentile: 1.2754033565521241
20th percentile: 1.2976073741912841
30th percentile: 1.31175799369812
40th percentile: 1.317855215072632
50th percentile: 1.3239524364471436
60th percentile: 1.3418078899383545
70th percentile: 1.3596633434295655
80th percentile: 1.505799436569214
90th percentile: 1.7802161693573
95th percentile: 1.9174245357513426
99th percentile: 2.027191228866577
mean time: 1.4618170261383057
Pipeline stage StressChecker completed in 7.96s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
hastagaras-jamet-8b-l3-mk-ii_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-jamet-8b-l3-mk-ii_v1 status is now inactive due to auto deactivation removed underperforming models

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