submission_id: sao10k-l3-rp-v5-3_v2
developer_uid: sao10k
status: inactive
model_repo: Sao10K/L3-RP-v5.3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.4, 'top_p': 1.0, 'min_p': 0.15, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, '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: 2024-07-10T06:55:00+00:00
model_name: rp-5-3-expr2
model_group: Sao10K/L3-RP-v5.3
num_battles: 34853
num_wins: 18950
celo_rating: 1219.56
alignment_score: None
alignment_samples: 0
propriety_score: 0.7133479212253829
propriety_total_count: 5941.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: rp-5-3-expr2
ineligible_reason: None
language_model: Sao10K/L3-RP-v5.3
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-09
win_ratio: 0.5437121625111181
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-l3-rp-v5-3-v2-mkmlizer
Waiting for job on sao10k-l3-rp-v5-3-v2-mkmlizer to finish
sao10k-l3-rp-v5-3-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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sao10k-l3-rp-v5-3-v2-mkmlizer: ║ /___/ ║
sao10k-l3-rp-v5-3-v2-mkmlizer: ║ ║
sao10k-l3-rp-v5-3-v2-mkmlizer: ║ Version: 0.8.14 ║
sao10k-l3-rp-v5-3-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-rp-v5-3-v2-mkmlizer: ║ https://mk1.ai ║
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sao10k-l3-rp-v5-3-v2-mkmlizer: ║ belonging to: ║
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sao10k-l3-rp-v5-3-v2-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-rp-v5-3-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-rp-v5-3-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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sao10k-l3-rp-v5-3-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-rp-v5-3-v2-mkmlizer: Downloaded to shared memory in 28.314s
sao10k-l3-rp-v5-3-v2-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-l3-rp-v5-3-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-rp-v5-3-v2-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-rp-v5-3-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-rp-v5-3-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-rp-v5-3-v2
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-3-v2/special_tokens_map.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-3-v2/tokenizer_config.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-3-v2/config.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-rp-v5-3-v2/tokenizer.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-rp-v5-3-v2/flywheel_model.0.safetensors
sao10k-l3-rp-v5-3-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
sao10k-l3-rp-v5-3-v2-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.
sao10k-l3-rp-v5-3-v2-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-3-v2-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`.
sao10k-l3-rp-v5-3-v2-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-3-v2-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.
sao10k-l3-rp-v5-3-v2-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-3-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.
sao10k-l3-rp-v5-3-v2-mkmlizer: warnings.warn(
sao10k-l3-rp-v5-3-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()
sao10k-l3-rp-v5-3-v2-mkmlizer: return self.fget.__get__(instance, owner)()
sao10k-l3-rp-v5-3-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-l3-rp-v5-3-v2-mkmlizer: Saving duration: 0.497s
sao10k-l3-rp-v5-3-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.604s
sao10k-l3-rp-v5-3-v2-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-rp-v5-3-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-rp-v5-3-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/config.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/tokenizer_config.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/special_tokens_map.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/vocab.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/merges.txt
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/tokenizer.json
sao10k-l3-rp-v5-3-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-rp-v5-3-v2_reward/reward.tensors
Job sao10k-l3-rp-v5-3-v2-mkmlizer completed after 84.01s with status: succeeded
Stopping job with name sao10k-l3-rp-v5-3-v2-mkmlizer
Pipeline stage MKMLizer completed in 85.08s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-rp-v5-3-v2
Waiting for inference service sao10k-l3-rp-v5-3-v2 to be ready
Inference service sao10k-l3-rp-v5-3-v2 ready after 50.22777581214905s
Pipeline stage ISVCDeployer completed in 57.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1307547092437744s
Received healthy response to inference request in 1.2080307006835938s
Received healthy response to inference request in 1.2429046630859375s
Received healthy response to inference request in 1.2512989044189453s
Received healthy response to inference request in 1.2430205345153809s
5 requests
0 failed requests
5th percentile: 1.2150054931640626
10th percentile: 1.2219802856445312
20th percentile: 1.2359298706054687
30th percentile: 1.2429278373718262
40th percentile: 1.2429741859436034
50th percentile: 1.2430205345153809
60th percentile: 1.2463318824768066
70th percentile: 1.2496432304382323
80th percentile: 1.4271900653839114
90th percentile: 1.7789723873138428
95th percentile: 1.9548635482788084
99th percentile: 2.0955764770507814
mean time: 1.4152019023895264
Pipeline stage StressChecker completed in 7.98s
sao10k-l3-rp-v5-3_v2 status is now deployed due to DeploymentManager action
sao10k-l3-rp-v5-3_v2 status is now inactive due to auto deactivation removed underperforming models

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