submission_id: alsebay-smaid-v0-1_v6
developer_uid: robert_irvine
alignment_samples: 0
best_of: 4
celo_rating: 1191.94
display_name: alsebay-smaid-v0-1_v6
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}
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: Alsebay/SMaid-v0.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Alsebay/SMaid-v0.1
model_name: alsebay-smaid-v0-1_v6
model_num_parameters: 8030261248.0
model_repo: Alsebay/SMaid-v0.1
model_size: 8B
num_battles: 162394
num_wins: 78614
propriety_score: 0.7193384754360365
propriety_total_count: 14391.0
ranking_group: single
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-05T01:35:19+00:00
us_pacific_date: 2024-08-04
win_ratio: 0.48409423993497297
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name alsebay-smaid-v0-1-v6-mkmlizer
Waiting for job on alsebay-smaid-v0-1-v6-mkmlizer to finish
alsebay-smaid-v0-1-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
alsebay-smaid-v0-1-v6-mkmlizer: ║ _____ __ __ ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ /___/ ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ Version: 0.9.9 ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ https://mk1.ai ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ The license key for the current software has been verified as ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ belonging to: ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ Chai Research Corp. ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
alsebay-smaid-v0-1-v6-mkmlizer: ║ ║
alsebay-smaid-v0-1-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
alsebay-smaid-v0-1-v6-mkmlizer: Downloaded to shared memory in 70.003s
alsebay-smaid-v0-1-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp7ahzktlf, device:0
alsebay-smaid-v0-1-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
alsebay-smaid-v0-1-v6-mkmlizer: quantized model in 25.841s
alsebay-smaid-v0-1-v6-mkmlizer: Processed model Alsebay/SMaid-v0.1 in 95.844s
alsebay-smaid-v0-1-v6-mkmlizer: creating bucket guanaco-mkml-models
alsebay-smaid-v0-1-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
alsebay-smaid-v0-1-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/alsebay-smaid-v0-1-v6
alsebay-smaid-v0-1-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/alsebay-smaid-v0-1-v6/config.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/alsebay-smaid-v0-1-v6/special_tokens_map.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/alsebay-smaid-v0-1-v6/tokenizer_config.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/alsebay-smaid-v0-1-v6/tokenizer.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/alsebay-smaid-v0-1-v6/flywheel_model.0.safetensors
alsebay-smaid-v0-1-v6-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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alsebay-smaid-v0-1-v6-mkmlizer: warnings.warn(
alsebay-smaid-v0-1-v6-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.
alsebay-smaid-v0-1-v6-mkmlizer: warnings.warn(
alsebay-smaid-v0-1-v6-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.
alsebay-smaid-v0-1-v6-mkmlizer: warnings.warn(
alsebay-smaid-v0-1-v6-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:06<00:06, 6.72s/it] Downloading shards: 100%|██████████| 2/2 [00:13<00:00, 6.82s/it] Downloading shards: 100%|██████████| 2/2 [00:13<00:00, 6.81s/it]
alsebay-smaid-v0-1-v6-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.41it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.92it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.58it/s]
alsebay-smaid-v0-1-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
alsebay-smaid-v0-1-v6-mkmlizer: Saving duration: 1.352s
alsebay-smaid-v0-1-v6-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 18.608s
alsebay-smaid-v0-1-v6-mkmlizer: creating bucket guanaco-reward-models
alsebay-smaid-v0-1-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
alsebay-smaid-v0-1-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/config.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/special_tokens_map.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/tokenizer_config.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/merges.txt
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/vocab.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/tokenizer.json
alsebay-smaid-v0-1-v6-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/alsebay-smaid-v0-1-v6_reward/reward.tensors
Job alsebay-smaid-v0-1-v6-mkmlizer completed after 148.67s with status: succeeded
Stopping job with name alsebay-smaid-v0-1-v6-mkmlizer
Pipeline stage MKMLizer completed in 149.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service alsebay-smaid-v0-1-v6
Waiting for inference service alsebay-smaid-v0-1-v6 to be ready
Inference service alsebay-smaid-v0-1-v6 ready after 161.09170532226562s
Pipeline stage ISVCDeployer completed in 162.98s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0427019596099854s
Received healthy response to inference request in 1.1346559524536133s
Received healthy response to inference request in 1.1150753498077393s
Received healthy response to inference request in 1.1059443950653076s
Received healthy response to inference request in 1.0879225730895996s
5 requests
0 failed requests
5th percentile: 1.0915269374847412
10th percentile: 1.0951313018798827
20th percentile: 1.102340030670166
30th percentile: 1.1077705860137939
40th percentile: 1.1114229679107666
50th percentile: 1.1150753498077393
60th percentile: 1.1229075908660888
70th percentile: 1.1307398319244384
80th percentile: 1.316265153884888
90th percentile: 1.6794835567474367
95th percentile: 1.8610927581787107
99th percentile: 2.0063801193237305
mean time: 1.297260046005249
Pipeline stage StressChecker completed in 7.22s
alsebay-smaid-v0-1_v6 status is now deployed due to DeploymentManager action
alsebay-smaid-v0-1_v6 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of alsebay-smaid-v0-1_v6
Running pipeline stage ISVCDeleter
Checking if service alsebay-smaid-v0-1-v6 is running
Tearing down inference service alsebay-smaid-v0-1-v6
Service alsebay-smaid-v0-1-v6 has been torndown
Pipeline stage ISVCDeleter completed in 6.12s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key alsebay-smaid-v0-1-v6/config.json from bucket guanaco-mkml-models
Deleting key alsebay-smaid-v0-1-v6/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key alsebay-smaid-v0-1-v6/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key alsebay-smaid-v0-1-v6/tokenizer.json from bucket guanaco-mkml-models
Deleting key alsebay-smaid-v0-1-v6/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key alsebay-smaid-v0-1-v6_reward/config.json from bucket guanaco-reward-models
Deleting key alsebay-smaid-v0-1-v6_reward/merges.txt from bucket guanaco-reward-models
Deleting key alsebay-smaid-v0-1-v6_reward/reward.tensors from bucket guanaco-reward-models
Deleting key alsebay-smaid-v0-1-v6_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key alsebay-smaid-v0-1-v6_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key alsebay-smaid-v0-1-v6_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key alsebay-smaid-v0-1-v6_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 6.25s
alsebay-smaid-v0-1_v6 status is now torndown due to DeploymentManager action

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