submission_id: hastagaras-jamet-8b-l3-_8630_v11
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': 0.95, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 45, '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': "<|begin_of_text|><|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: 2024-06-16T09:09:35+00:00
model_name: turu
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 13307
num_wins: 7283
celo_rating: 1218.44
propriety_score: 0.6948778565799842
propriety_total_count: 6345.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: turu
ineligible_reason: None
language_model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.5473059292101902
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-8630-v11-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-8630-v11-mkmlizer to finish
Stopping job with name hastagaras-jamet-8b-l3-8630-v11-mkmlizer
%s, retrying in %s seconds...
Starting job with name hastagaras-jamet-8b-l3-8630-v11-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-8630-v11-mkmlizer to finish
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ https://mk1.ai ║
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hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ Chai Research Corp. ║
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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hastagaras-jamet-8b-l3-8630-v11-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-8630-v11-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-l3-8630-v11-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Downloaded to shared memory in 47.927s
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 108.88it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:02, 104.52it/s] Loading 0: 13%|█▎ | 39/291 [00:00<00:02, 125.96it/s] Loading 0: 18%|█▊ | 52/291 [00:00<00:01, 122.00it/s] Loading 0: 23%|██▎ | 66/291 [00:00<00:01, 127.85it/s] Loading 0: 27%|██▋ | 79/291 [00:00<00:01, 123.60it/s] Loading 0: 32%|███▏ | 92/291 [00:01<00:02, 69.44it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:02, 76.15it/s] Loading 0: 40%|████ | 117/291 [00:01<00:01, 89.44it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 96.66it/s] Loading 0: 49%|████▉ | 144/291 [00:01<00:01, 106.09it/s] Loading 0: 54%|█████▍ | 157/291 [00:01<00:01, 108.87it/s] Loading 0: 58%|█████▊ | 170/291 [00:01<00:01, 114.22it/s] Loading 0: 63%|██████▎ | 183/291 [00:01<00:00, 117.74it/s] Loading 0: 67%|██████▋ | 196/291 [00:02<00:01, 70.76it/s] Loading 0: 72%|███████▏ | 210/291 [00:02<00:00, 83.14it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 86.43it/s] Loading 0: 81%|████████▏ | 237/291 [00:02<00:00, 101.44it/s] Loading 0: 86%|████████▌ | 249/291 [00:02<00:00, 102.54it/s] Loading 0: 91%|█████████ | 264/291 [00:02<00:00, 112.44it/s] Loading 0: 95%|█████████▌| 277/291 [00:02<00:00, 112.83it/s] Loading 0: 99%|█████████▉| 289/291 [00:08<00:00, 7.32it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: quantized model in 24.222s
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-Blackroot in 74.741s
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v11
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v11/config.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v11/special_tokens_map.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v11/tokenizer_config.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v11/tokenizer.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v11/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-8630-v11-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-l3-8630-v11-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-8630-v11-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-l3-8630-v11-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-8630-v11-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-l3-8630-v11-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-8630-v11-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-l3-8630-v11-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Saving duration: 0.794s
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 13.643s
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/config.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/merges.txt
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/vocab.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/tokenizer.json
hastagaras-jamet-8b-l3-8630-v11-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v11_reward/reward.tensors
Job hastagaras-jamet-8b-l3-8630-v11-mkmlizer completed after 113.55s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-8630-v11-mkmlizer
Pipeline stage MKMLizer completed in 117.59s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-8630-v11
Waiting for inference service hastagaras-jamet-8b-l3-8630-v11 to be ready
Inference service hastagaras-jamet-8b-l3-8630-v11 ready after 271.5905954837799s
Pipeline stage ISVCDeployer completed in 279.66s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2374918460845947s
Received healthy response to inference request in 1.3609952926635742s
Received healthy response to inference request in 1.3377108573913574s
Received healthy response to inference request in 1.2897064685821533s
Received healthy response to inference request in 1.3570032119750977s
5 requests
0 failed requests
5th percentile: 1.2993073463439941
10th percentile: 1.308908224105835
20th percentile: 1.3281099796295166
30th percentile: 1.3415693283081054
40th percentile: 1.3492862701416015
50th percentile: 1.3570032119750977
60th percentile: 1.3586000442504882
70th percentile: 1.360196876525879
80th percentile: 1.5362946033477785
90th percentile: 1.8868932247161867
95th percentile: 2.0621925354003903
99th percentile: 2.2024319839477537
mean time: 1.5165815353393555
Pipeline stage StressChecker completed in 8.19s
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 0.06s
hastagaras-jamet-8b-l3-_8630_v11 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-_8630_v11 status is now inactive due to auto deactivation removed underperforming models

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