submission_id: hastagaras-jamet-8b-l3-m_8630_v4
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 1900, 'best_of': 4, '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: 2024-06-09T04:21:07+00:00
model_name: 4
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 10257
num_wins: 5521
celo_rating: 1206.0
propriety_score: 0.664968152866242
propriety_total_count: 785.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 1900
max_output_tokens: 64
display_name: 4
ineligible_reason: propriety_total_count < 5000
language_model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-08
win_ratio: 0.5382665496733938
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer to finish
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: ║ Chai Research Corp. ║
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hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-m-8630-v4-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-m-8630-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Downloaded to shared memory in 30.150s
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 124.86it/s] Loading 0: 11%|█ | 31/291 [00:00<00:01, 150.90it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:01, 158.73it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:01, 161.84it/s] Loading 0: 29%|██▉ | 84/291 [00:00<00:02, 85.79it/s] Loading 0: 35%|███▌ | 102/291 [00:00<00:01, 103.40it/s] Loading 0: 41%|████ | 120/291 [00:01<00:01, 118.35it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 130.66it/s] Loading 0: 54%|█████▎ | 156/291 [00:01<00:00, 139.84it/s] Loading 0: 59%|█████▉ | 173/291 [00:01<00:00, 144.94it/s] Loading 0: 65%|██████▍ | 189/291 [00:01<00:01, 90.26it/s] Loading 0: 70%|███████ | 205/291 [00:01<00:00, 103.31it/s] Loading 0: 76%|███████▌ | 221/291 [00:01<00:00, 113.47it/s] Loading 0: 82%|████████▏ | 239/291 [00:01<00:00, 126.98it/s] Loading 0: 88%|████████▊ | 257/291 [00:02<00:00, 137.56it/s] Loading 0: 95%|█████████▍| 275/291 [00:02<00:00, 146.49it/s] Loading 0: 100%|██████████| 291/291 [00:07<00:00, 9.96it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: quantized model in 22.806s
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-Blackroot in 55.549s
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v4
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v4/tokenizer_config.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v4/special_tokens_map.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v4/config.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v4/tokenizer.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-8630-v4/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-m-8630-v4-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-m-8630-v4-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-8630-v4-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-m-8630-v4-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-8630-v4-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-m-8630-v4-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-8630-v4-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-m-8630-v4-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Saving duration: 0.396s
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.405s
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/config.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/merges.txt
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/vocab.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/tokenizer.json
hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-8630-v4_reward/reward.tensors
Job hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer completed after 83.27s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-m-8630-v4-mkmlizer
Pipeline stage MKMLizer completed in 87.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-m-8630-v4
Waiting for inference service hastagaras-jamet-8b-l3-m-8630-v4 to be ready
Inference service hastagaras-jamet-8b-l3-m-8630-v4 ready after 412.05812406539917s
Pipeline stage ISVCDeployer completed in 419.48s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1006925106048584s
Received healthy response to inference request in 1.1997458934783936s
Received healthy response to inference request in 1.224771499633789s
Received healthy response to inference request in 1.2299585342407227s
Received healthy response to inference request in 1.1525492668151855s
5 requests
0 failed requests
5th percentile: 1.1619885921478272
10th percentile: 1.1714279174804687
20th percentile: 1.1903065681457519
30th percentile: 1.2047510147094727
40th percentile: 1.2147612571716309
50th percentile: 1.224771499633789
60th percentile: 1.2268463134765626
70th percentile: 1.228921127319336
80th percentile: 1.40410532951355
90th percentile: 1.7523989200592043
95th percentile: 1.9265457153320311
99th percentile: 2.065863151550293
mean time: 1.3815435409545898
Pipeline stage StressChecker completed in 7.49s
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
hastagaras-jamet-8b-l3-m_8630_v4 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-m_8630_v4 status is now inactive due to auto deactivation removed underperforming models

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