submission_id: hastagaras-jamet-8b-l3-mk-iv_v2
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.IV
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, '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: 2024-06-06T00:30:16+00:00
model_name: mark-iv-2
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 14044
num_wins: 7585
celo_rating: 1208.9
propriety_score: 0.6622418879056047
propriety_total_count: 678.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: mark-iv-2
ineligible_reason: propriety_total_count < 5000
language_model: Hastagaras/Jamet-8B-L3-MK.IV
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-05
win_ratio: 0.5400882939333523
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer to finish
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ║ Chai Research Corp. ║
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-mk-iv-v2-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-iv-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Downloaded to shared memory in 18.196s
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 112.25it/s] Loading 0: 10%|█ | 30/291 [00:00<00:01, 133.30it/s] Loading 0: 15%|█▌ | 44/291 [00:00<00:01, 130.00it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:01, 128.92it/s] Loading 0: 25%|██▌ | 73/291 [00:00<00:01, 135.65it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:03, 59.20it/s] Loading 0: 33%|███▎ | 97/291 [00:01<00:02, 65.16it/s] Loading 0: 37%|███▋ | 107/291 [00:01<00:02, 69.94it/s] Loading 0: 40%|████ | 117/291 [00:01<00:02, 74.09it/s] Loading 0: 44%|████▎ | 127/291 [00:01<00:02, 78.68it/s] Loading 0: 47%|████▋ | 137/291 [00:01<00:01, 82.66it/s] Loading 0: 51%|█████ | 147/291 [00:01<00:01, 80.30it/s] Loading 0: 54%|█████▎ | 156/291 [00:01<00:01, 81.62it/s] Loading 0: 57%|█████▋ | 165/291 [00:01<00:01, 82.89it/s] Loading 0: 60%|█████▉ | 174/291 [00:02<00:01, 82.78it/s] Loading 0: 63%|██████▎ | 183/291 [00:02<00:01, 83.00it/s] Loading 0: 66%|██████▌ | 192/291 [00:02<00:02, 44.73it/s] Loading 0: 69%|██████▉ | 201/291 [00:02<00:01, 51.97it/s] Loading 0: 72%|███████▏ | 210/291 [00:02<00:01, 58.59it/s] Loading 0: 75%|███████▌ | 219/291 [00:02<00:01, 64.78it/s] Loading 0: 78%|███████▊ | 228/291 [00:03<00:00, 69.95it/s] Loading 0: 81%|████████▏ | 237/291 [00:03<00:00, 73.70it/s] Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 76.84it/s] Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 82.37it/s] Loading 0: 93%|█████████▎| 270/291 [00:03<00:00, 93.91it/s] Loading 0: 96%|█████████▌| 280/291 [00:03<00:00, 93.85it/s] Loading 0: 100%|█████████▉| 290/291 [00:09<00:00, 5.79it/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-iv-v2-mkmlizer: quantized model in 23.457s
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.IV in 42.777s
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-iv-v2
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-iv-v2/config.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-iv-v2/tokenizer.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-iv-v2/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-iv-v2/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-iv-v2/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-mk-iv-v2-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-iv-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-iv-v2-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-iv-v2-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-iv-v2-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-iv-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Saving duration: 0.285s
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.837s
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/config.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/merges.txt
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/vocab.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/tokenizer.json
hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-iv-v2_reward/reward.tensors
Job hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer completed after 62.9s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-mk-iv-v2-mkmlizer
Pipeline stage MKMLizer completed in 66.70s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-mk-iv-v2
Waiting for inference service hastagaras-jamet-8b-l3-mk-iv-v2 to be ready
Inference service hastagaras-jamet-8b-l3-mk-iv-v2 ready after 40.24547863006592s
Pipeline stage ISVCDeployer completed in 47.49s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1567256450653076s
Received healthy response to inference request in 1.3647239208221436s
Received healthy response to inference request in 1.3207266330718994s
Received healthy response to inference request in 1.2727546691894531s
Received healthy response to inference request in 1.21018648147583s
5 requests
0 failed requests
5th percentile: 1.2227001190185547
10th percentile: 1.2352137565612793
20th percentile: 1.2602410316467285
30th percentile: 1.2823490619659423
40th percentile: 1.301537847518921
50th percentile: 1.3207266330718994
60th percentile: 1.3383255481719971
70th percentile: 1.3559244632720948
80th percentile: 1.5231242656707764
90th percentile: 1.8399249553680421
95th percentile: 1.9983253002166748
99th percentile: 2.125045576095581
mean time: 1.4650234699249267
Pipeline stage StressChecker completed in 7.96s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-jamet-8b-l3-mk-iv_v2 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-mk-iv_v2 status is now inactive due to auto deactivation removed underperforming models

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