submission_id: hastagaras-jamet-8b-l3-_8630_v12
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': 0.08, 'top_k': 45, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], '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: 2024-06-16T09:36:43+00:00
model_name: eot
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 12553
num_wins: 6933
celo_rating: 1221.21
propriety_score: 0.6986529186762016
propriety_total_count: 6013.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: eot
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: 0.5522982553971162
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-8630-v12-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-8630-v12-mkmlizer to finish
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-8630-v12-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-jamet-8b-l3-8630-v12-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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hastagaras-jamet-8b-l3-8630-v12-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-8630-v12-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-v12-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Downloaded to shared memory in 54.346s
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 2%|▏ | 5/291 [00:00<00:05, 49.63it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:04, 66.98it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:03, 76.28it/s] Loading 0: 11%|█ | 32/291 [00:00<00:03, 73.14it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:03, 71.29it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:03, 70.41it/s] Loading 0: 20%|██ | 59/291 [00:00<00:03, 69.85it/s] Loading 0: 23%|██▎ | 68/291 [00:00<00:03, 69.07it/s] Loading 0: 27%|██▋ | 79/291 [00:01<00:02, 79.58it/s] Loading 0: 30%|███ | 88/291 [00:01<00:04, 44.90it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:04, 47.49it/s] Loading 0: 36%|███▌ | 104/291 [00:01<00:03, 53.36it/s] Loading 0: 40%|████ | 117/291 [00:01<00:02, 69.35it/s] Loading 0: 44%|████▍ | 129/291 [00:01<00:02, 77.51it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:01, 79.89it/s] Loading 0: 51%|█████ | 149/291 [00:02<00:01, 83.82it/s] Loading 0: 55%|█████▌ | 161/291 [00:02<00:01, 92.89it/s] Loading 0: 59%|█████▉ | 173/291 [00:02<00:01, 96.38it/s] Loading 0: 64%|██████▎ | 185/291 [00:02<00:01, 101.84it/s] Loading 0: 67%|██████▋ | 196/291 [00:02<00:01, 53.28it/s] Loading 0: 70%|███████ | 205/291 [00:03<00:01, 57.62it/s] Loading 0: 73%|███████▎ | 213/291 [00:03<00:01, 60.14it/s] Loading 0: 76%|███████▌ | 221/291 [00:03<00:01, 61.02it/s] Loading 0: 80%|████████ | 233/291 [00:03<00:00, 73.37it/s] Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 81.73it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 85.66it/s] Loading 0: 91%|█████████▏| 266/291 [00:03<00:00, 78.97it/s] Loading 0: 95%|█████████▍| 275/291 [00:03<00:00, 76.51it/s] Loading 0: 98%|█████████▊| 284/291 [00:04<00:00, 77.90it/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-v12-mkmlizer: quantized model in 25.948s
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-Blackroot in 83.099s
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v12
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v12/config.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v12/special_tokens_map.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v12/tokenizer_config.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v12/tokenizer.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-8630-v12/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-8630-v12-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-v12-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-8630-v12-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-v12-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-8630-v12-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-v12-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-8630-v12-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-v12-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Saving duration: 0.457s
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 22.679s
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/config.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/merges.txt
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/vocab.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/tokenizer.json
hastagaras-jamet-8b-l3-8630-v12-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-8630-v12_reward/reward.tensors
Job hastagaras-jamet-8b-l3-8630-v12-mkmlizer completed after 124.14s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-8630-v12-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 hastagaras-jamet-8b-l3-8630-v12
Waiting for inference service hastagaras-jamet-8b-l3-8630-v12 to be ready
Inference service hastagaras-jamet-8b-l3-8630-v12 ready after 40.3488986492157s
Pipeline stage ISVCDeployer completed in 47.90s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1875338554382324s
Received healthy response to inference request in 1.3543941974639893s
Received healthy response to inference request in 1.321181297302246s
Received healthy response to inference request in 1.3007175922393799s
Received healthy response to inference request in 1.3584833145141602s
5 requests
0 failed requests
5th percentile: 1.3048103332519532
10th percentile: 1.3089030742645265
20th percentile: 1.3170885562896728
30th percentile: 1.3278238773345947
40th percentile: 1.341109037399292
50th percentile: 1.3543941974639893
60th percentile: 1.3560298442840577
70th percentile: 1.357665491104126
80th percentile: 1.5242934226989748
90th percentile: 1.8559136390686035
95th percentile: 2.021723747253418
99th percentile: 2.1543718338012696
mean time: 1.5044620513916016
Pipeline stage StressChecker completed in 8.20s
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 0.08s
hastagaras-jamet-8b-l3-_8630_v12 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-_8630_v12 status is now inactive due to auto deactivation removed underperforming models

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