sao10k-hydrochoerus-12b-v1-s1

submission_id: sao10k-hydrochoerus-12b-v1-s1_v1
developer_uid: sao10k
best_of: 4
celo_rating: 1191.3
display_name: v1test1
family_friendly_score: 0.0
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.65, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\n\n', '\nYou:', '<|im_end|>', '</s>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 1024}
is_internal_developer: False
language_model: Sao10K/Hydrochoerus-12B-v1-s1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: Sao10K/Hydrochoerus-12B-
model_name: v1test1
model_num_parameters: 12772070400.0
model_repo: Sao10K/Hydrochoerus-12B-v1-s1
model_size: 13B
num_battles: 12417
num_wins: 5981
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-07-28T15:07:27+00:00
us_pacific_date: 2024-07-28
win_ratio: 0.4816783442055247
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer
Waiting for job on sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer to finish
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║     _____            __           __                                ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║       /___/                                                         ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║                                                                     ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  Version: 0.9.7                                                     ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  https://mk1.ai                                                     ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║                                                                     ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  belonging to:                                                      ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║                                                                     ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  Chai Research Corp.                                                ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ║                                                                     ║
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Downloaded to shared memory in 45.109s
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpjs7d4rri, device:0
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: quantized model in 35.584s
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Processed model Sao10K/Hydrochoerus-12B-v1-s1 in 80.694s
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-hydrochoerus-12b-v1-s1-v1
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-hydrochoerus-12b-v1-s1-v1/special_tokens_map.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-hydrochoerus-12b-v1-s1-v1/config.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-hydrochoerus-12b-v1-s1-v1/tokenizer_config.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-hydrochoerus-12b-v1-s1-v1/tokenizer.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-hydrochoerus-12b-v1-s1-v1/flywheel_model.0.safetensors
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer:   warnings.warn(
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer:   warnings.warn(
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer:   warnings.warn(
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: 
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sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: 
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sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Saving duration: 1.337s
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.304s
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: creating bucket guanaco-reward-models
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/config.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/special_tokens_map.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/tokenizer_config.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/merges.txt
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/vocab.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/tokenizer.json
sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-hydrochoerus-12b-v1-s1-v1_reward/reward.tensors
Job sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer completed after 125.83s with status: succeeded
Stopping job with name sao10k-hydrochoerus-12b-v1-s1-v1-mkmlizer
Pipeline stage MKMLizer completed in 127.47s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-hydrochoerus-12b-v1-s1-v1
Waiting for inference service sao10k-hydrochoerus-12b-v1-s1-v1 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
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Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service sao10k-hydrochoerus-12b-v1-s1-v1 ready after 111.2434573173523s
Pipeline stage ISVCDeployer completed in 112.87s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.458681583404541s
Received healthy response to inference request in 1.4257140159606934s
Received healthy response to inference request in 1.298452615737915s
Received healthy response to inference request in 1.523526668548584s
Received healthy response to inference request in 1.3834612369537354s
5 requests
0 failed requests
5th percentile: 1.3154543399810792
10th percentile: 1.3324560642242431
20th percentile: 1.3664595127105712
30th percentile: 1.391911792755127
40th percentile: 1.40881290435791
50th percentile: 1.4257140159606934
60th percentile: 1.4648390769958497
70th percentile: 1.5039641380310058
80th percentile: 1.7105576515197756
90th percentile: 2.0846196174621583
95th percentile: 2.2716506004333494
99th percentile: 2.4212753868103025
mean time: 1.6179672241210938
Pipeline stage StressChecker completed in 8.78s
sao10k-hydrochoerus-12b-v1-s1_v1 status is now deployed due to DeploymentManager action
sao10k-hydrochoerus-12b-v1-s1_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of sao10k-hydrochoerus-12b-v1-s1_v1
Running pipeline stage ISVCDeleter
Checking if service sao10k-hydrochoerus-12b-v1-s1-v1 is running
Tearing down inference service sao10k-hydrochoerus-12b-v1-s1-v1
Service sao10k-hydrochoerus-12b-v1-s1-v1 has been torndown
Pipeline stage ISVCDeleter completed in 5.05s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1/config.json from bucket guanaco-mkml-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/config.json from bucket guanaco-reward-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key sao10k-hydrochoerus-12b-v1-s1-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.14s
sao10k-hydrochoerus-12b-v1-s1_v1 status is now torndown due to DeploymentManager action