submission_id: hastagaras-kaliurang-8b-l3_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Kaliurang-8B-L3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.98, 'top_p': 0.98, 'min_p': 0.08, 'top_k': 88, '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: 2024-07-03T09:20:19+00:00
model_name: hehe
model_group: Hastagaras/Kaliurang-8B-
num_battles: 12289
num_wins: 6777
celo_rating: 1217.94
propriety_score: 0.6987212276214834
propriety_total_count: 5865.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hehe
ineligible_reason: None
language_model: Hastagaras/Kaliurang-8B-L3
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-03
win_ratio: 0.5514687932297176
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-kaliurang-8b-l3-v1-mkmlizer
Waiting for job on hastagaras-kaliurang-8b-l3-v1-mkmlizer to finish
hastagaras-kaliurang-8b-l3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-kaliurang-8b-l3-v1-mkmlizer: ║ ║
hastagaras-kaliurang-8b-l3-v1-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-kaliurang-8b-l3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-kaliurang-8b-l3-v1-mkmlizer: ║ https://mk1.ai ║
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hastagaras-kaliurang-8b-l3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Downloaded to shared memory in 34.119s
hastagaras-kaliurang-8b-l3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 3%|▎ | 10/291 [00:00<00:02, 98.56it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:02, 106.29it/s] Loading 0: 12%|█▏ | 36/291 [00:00<00:02, 119.81it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:02, 120.20it/s] Loading 0: 22%|██▏ | 63/291 [00:00<00:01, 126.59it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:01, 124.22it/s] Loading 0: 31%|███ | 89/291 [00:01<00:03, 57.60it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:02, 69.79it/s] Loading 0: 41%|████ | 118/291 [00:01<00:02, 84.92it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 88.59it/s] Loading 0: 49%|████▉ | 142/291 [00:01<00:01, 94.68it/s] Loading 0: 54%|█████▎ | 156/291 [00:01<00:01, 105.16it/s] Loading 0: 58%|█████▊ | 168/291 [00:01<00:01, 107.04it/s] Loading 0: 62%|██████▏ | 181/291 [00:01<00:00, 112.87it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:01, 59.08it/s] Loading 0: 72%|███████▏ | 210/291 [00:02<00:01, 75.32it/s] Loading 0: 76%|███████▋ | 222/291 [00:02<00:00, 82.34it/s] Loading 0: 81%|████████▏ | 237/291 [00:02<00:00, 96.16it/s] Loading 0: 86%|████████▌ | 250/291 [00:02<00:00, 102.35it/s] Loading 0: 91%|█████████ | 264/291 [00:02<00:00, 111.46it/s] Loading 0: 95%|█████████▌| 277/291 [00:02<00:00, 114.15it/s] Loading 0: 100%|█████████▉| 290/291 [00:09<00:00, 6.38it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-kaliurang-8b-l3-v1-mkmlizer: quantized model in 28.557s
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Processed model Hastagaras/Kaliurang-8B-L3 in 62.677s
hastagaras-kaliurang-8b-l3-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-kaliurang-8b-l3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-kaliurang-8b-l3-v1
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-kaliurang-8b-l3-v1/special_tokens_map.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-kaliurang-8b-l3-v1/tokenizer_config.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-kaliurang-8b-l3-v1/config.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-kaliurang-8b-l3-v1/tokenizer.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-kaliurang-8b-l3-v1/flywheel_model.0.safetensors
hastagaras-kaliurang-8b-l3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-kaliurang-8b-l3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-kaliurang-8b-l3-v1-mkmlizer: warnings.warn(
hastagaras-kaliurang-8b-l3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
hastagaras-kaliurang-8b-l3-v1-mkmlizer: warnings.warn(
hastagaras-kaliurang-8b-l3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
hastagaras-kaliurang-8b-l3-v1-mkmlizer: warnings.warn(
hastagaras-kaliurang-8b-l3-v1-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-kaliurang-8b-l3-v1-mkmlizer: warnings.warn(
hastagaras-kaliurang-8b-l3-v1-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-kaliurang-8b-l3-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Saving duration: 0.524s
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.029s
hastagaras-kaliurang-8b-l3-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-kaliurang-8b-l3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-kaliurang-8b-l3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/config.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/tokenizer_config.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/special_tokens_map.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/merges.txt
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/vocab.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/tokenizer.json
hastagaras-kaliurang-8b-l3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-kaliurang-8b-l3-v1_reward/reward.tensors
Job hastagaras-kaliurang-8b-l3-v1-mkmlizer completed after 94.02s with status: succeeded
Stopping job with name hastagaras-kaliurang-8b-l3-v1-mkmlizer
Pipeline stage MKMLizer completed in 94.89s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.14s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-kaliurang-8b-l3-v1
Waiting for inference service hastagaras-kaliurang-8b-l3-v1 to be ready
Inference service hastagaras-kaliurang-8b-l3-v1 ready after 40.17306160926819s
Pipeline stage ISVCDeployer completed in 47.20s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3048648834228516s
Received healthy response to inference request in 1.3379583358764648s
Received healthy response to inference request in 1.2864196300506592s
Received healthy response to inference request in 1.248013973236084s
Received healthy response to inference request in 1.3296973705291748s
5 requests
0 failed requests
5th percentile: 1.255695104598999
10th percentile: 1.263376235961914
20th percentile: 1.2787384986877441
30th percentile: 1.2950751781463623
40th percentile: 1.3123862743377686
50th percentile: 1.3296973705291748
60th percentile: 1.3330017566680907
70th percentile: 1.3363061428070069
80th percentile: 1.5313396453857424
90th percentile: 1.9181022644042969
95th percentile: 2.111483573913574
99th percentile: 2.266188621520996
mean time: 1.5013908386230468
Pipeline stage StressChecker completed in 8.28s
hastagaras-kaliurang-8b-l3_v1 status is now deployed due to DeploymentManager action
hastagaras-kaliurang-8b-l3_v1 status is now inactive due to auto deactivation removed underperforming models

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