submission_id: hastagaras-anjir-8b-l3-m_6262_v2
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Anjir-8B-L3-MK.V-BlackJammer
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, '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: 2024-06-11T01:00:59+00:00
model_name: blackjammer
model_eval_status: success
model_group: Hastagaras/Anjir-8B-L3-M
num_battles: 19911
num_wins: 10970
celo_rating: 1217.14
safety_score: 0.9
propriety_score: 0.658749248346362
propriety_total_count: 6652.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: blackjammer
ineligible_reason: None
language_model: Hastagaras/Anjir-8B-L3-MK.V-BlackJammer
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-10
win_ratio: 0.5509517352217367
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer
Waiting for job on hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer to finish
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ _____ __ __ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ /___/ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ https://mk1.ai ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ The license key for the current software has been verified as ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ belonging to: ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ Chai Research Corp. ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ║ ║
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-anjir-8b-l3-m-6262-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-anjir-8b-l3-m-6262-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Downloaded to shared memory in 20.749s
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 127.70it/s] Loading 0: 11%|█ | 31/291 [00:00<00:01, 153.69it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:01, 161.33it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:01, 160.48it/s] Loading 0: 29%|██▉ | 84/291 [00:00<00:02, 85.98it/s] Loading 0: 35%|███▌ | 102/291 [00:00<00:01, 102.71it/s] Loading 0: 41%|████ | 120/291 [00:01<00:01, 117.55it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 130.57it/s] Loading 0: 54%|█████▎ | 156/291 [00:01<00:00, 140.36it/s] Loading 0: 59%|█████▉ | 173/291 [00:01<00:00, 146.24it/s] Loading 0: 65%|██████▍ | 189/291 [00:01<00:01, 91.56it/s] Loading 0: 70%|███████ | 205/291 [00:01<00:00, 104.52it/s] Loading 0: 76%|███████▌ | 221/291 [00:01<00:00, 111.99it/s] Loading 0: 81%|████████▏ | 237/291 [00:02<00:00, 118.07it/s] Loading 0: 86%|████████▋ | 251/291 [00:02<00:00, 121.43it/s] Loading 0: 91%|█████████ | 265/291 [00:02<00:00, 124.02it/s] Loading 0: 97%|█████████▋| 282/291 [00:02<00:00, 131.22it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: quantized model in 25.129s
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Processed model Hastagaras/Anjir-8B-L3-MK.V-BlackJammer in 48.405s
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-m-6262-v2
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-m-6262-v2/tokenizer_config.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-m-6262-v2/special_tokens_map.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-m-6262-v2/config.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-m-6262-v2/tokenizer.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-m-6262-v2/flywheel_model.0.safetensors
hastagaras-anjir-8b-l3-m-6262-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-anjir-8b-l3-m-6262-v2-mkmlizer: warnings.warn(
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-anjir-8b-l3-m-6262-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-anjir-8b-l3-m-6262-v2-mkmlizer: warnings.warn(
hastagaras-anjir-8b-l3-m-6262-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-anjir-8b-l3-m-6262-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Saving duration: 0.405s
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.553s
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/tokenizer_config.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/config.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/special_tokens_map.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/merges.txt
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/vocab.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/tokenizer.json
hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-anjir-8b-l3-m-6262-v2_reward/reward.tensors
Job hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer completed after 83.02s with status: succeeded
Stopping job with name hastagaras-anjir-8b-l3-m-6262-v2-mkmlizer
Pipeline stage MKMLizer completed in 87.00s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-anjir-8b-l3-m-6262-v2
Waiting for inference service hastagaras-anjir-8b-l3-m-6262-v2 to be ready
Inference service hastagaras-anjir-8b-l3-m-6262-v2 ready after 90.4892930984497s
Pipeline stage ISVCDeployer completed in 97.97s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.162205457687378s
Received healthy response to inference request in 1.3285157680511475s
Received healthy response to inference request in 1.2974770069122314s
Received healthy response to inference request in 1.29154634475708s
Received healthy response to inference request in 1.3491747379302979s
5 requests
0 failed requests
5th percentile: 1.2927324771881104
10th percentile: 1.2939186096191406
20th percentile: 1.2962908744812012
30th percentile: 1.3036847591400147
40th percentile: 1.316100263595581
50th percentile: 1.3285157680511475
60th percentile: 1.3367793560028076
70th percentile: 1.3450429439544678
80th percentile: 1.511780881881714
90th percentile: 1.836993169784546
95th percentile: 1.9995993137359618
99th percentile: 2.1296842288970947
mean time: 1.485783863067627
Pipeline stage StressChecker completed in 8.05s
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-anjir-8b-l3-m_6262_v2 status is now deployed due to DeploymentManager action
hastagaras-anjir-8b-l3-m_6262_v2 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics