submission_id: hastagaras-jakal-001_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jakal.001
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.5, 'top_p': 0.9, 'min_p': 0.0, '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: 2024-07-04T02:13:00+00:00
model_name: hehe
model_group: Hastagaras/Jakal.001
num_battles: 14704
num_wins: 7666
celo_rating: 1202.44
propriety_score: 0.7030919102075391
propriety_total_count: 7083.0
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/Jakal.001
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-03
win_ratio: 0.5213547334058759
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jakal-001-v1-mkmlizer
Waiting for job on hastagaras-jakal-001-v1-mkmlizer to finish
Stopping job with name hastagaras-jakal-001-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name hastagaras-jakal-001-v1-mkmlizer
Waiting for job on hastagaras-jakal-001-v1-mkmlizer to finish
hastagaras-jakal-001-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jakal-001-v1-mkmlizer: ║ ║
hastagaras-jakal-001-v1-mkmlizer: ║ Version: 0.8.14 ║
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hastagaras-jakal-001-v1-mkmlizer: ║ https://mk1.ai ║
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hastagaras-jakal-001-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-jakal-001-v1-mkmlizer: ║ ║
hastagaras-jakal-001-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jakal-001-v1-mkmlizer: Downloaded to shared memory in 50.331s
hastagaras-jakal-001-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jakal-001-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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hastagaras-jakal-001-v1-mkmlizer: quantized model in 24.702s
hastagaras-jakal-001-v1-mkmlizer: Processed model Hastagaras/Jakal.001 in 75.033s
hastagaras-jakal-001-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jakal-001-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jakal-001-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jakal-001-v1
hastagaras-jakal-001-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jakal-001-v1/config.json
hastagaras-jakal-001-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jakal-001-v1/tokenizer_config.json
hastagaras-jakal-001-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jakal-001-v1/special_tokens_map.json
hastagaras-jakal-001-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jakal-001-v1/tokenizer.json
hastagaras-jakal-001-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jakal-001-v1/flywheel_model.0.safetensors
hastagaras-jakal-001-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jakal-001-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-jakal-001-v1-mkmlizer: warnings.warn(
hastagaras-jakal-001-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-jakal-001-v1-mkmlizer: warnings.warn(
hastagaras-jakal-001-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-jakal-001-v1-mkmlizer: warnings.warn(
hastagaras-jakal-001-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-jakal-001-v1-mkmlizer: warnings.warn(
hastagaras-jakal-001-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-jakal-001-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jakal-001-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jakal-001-v1-mkmlizer: Saving duration: 0.398s
hastagaras-jakal-001-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.970s
hastagaras-jakal-001-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jakal-001-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jakal-001-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/tokenizer_config.json
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/merges.txt
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/config.json
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/special_tokens_map.json
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/tokenizer.json
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/vocab.json
hastagaras-jakal-001-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jakal-001-v1_reward/reward.tensors
Job hastagaras-jakal-001-v1-mkmlizer completed after 115.11s with status: succeeded
Stopping job with name hastagaras-jakal-001-v1-mkmlizer
Pipeline stage MKMLizer completed in 116.65s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jakal-001-v1
Waiting for inference service hastagaras-jakal-001-v1 to be ready
Inference service hastagaras-jakal-001-v1 ready after 50.23478364944458s
Pipeline stage ISVCDeployer completed in 57.40s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0065555572509766s
Received healthy response to inference request in 1.3291385173797607s
Received healthy response to inference request in 1.297935962677002s
Received healthy response to inference request in 1.2733683586120605s
Received healthy response to inference request in 1.331268072128296s
5 requests
0 failed requests
5th percentile: 1.2782818794250488
10th percentile: 1.283195400238037
20th percentile: 1.2930224418640137
30th percentile: 1.3041764736175536
40th percentile: 1.3166574954986572
50th percentile: 1.3291385173797607
60th percentile: 1.3299903392791748
70th percentile: 1.3308421611785888
80th percentile: 1.466325569152832
90th percentile: 1.7364405632019044
95th percentile: 1.8714980602264404
99th percentile: 1.9795440578460692
mean time: 1.4476532936096191
Pipeline stage StressChecker completed in 7.94s
hastagaras-jakal-001_v1 status is now deployed due to DeploymentManager action
hastagaras-jakal-001_v1 status is now inactive due to auto deactivation removed underperforming models

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