developer_uid: sao10k
submission_id: sao10k-l3-niitama-3-1_v1
model_name: Niitama3test1
model_group: Sao10K/L3-Niitama-3.1
status: torndown
timestamp: 2024-08-03T08:20:34+00:00
num_battles: 13454
num_wins: 6601
celo_rating: 1215.98
family_friendly_score: 0.0
submission_type: basic
model_repo: Sao10K/L3-Niitama-3.1
model_architecture: LlamaForCausalLM
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: Niitama3test1
is_internal_developer: False
language_model: Sao10K/L3-Niitama-3.1
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-03
win_ratio: 0.4906347554630593
generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}', 'You:', '\n\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
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: {'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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-l3-niitama-3-1-v1-mkmlizer
Waiting for job on sao10k-l3-niitama-3-1-v1-mkmlizer to finish
sao10k-l3-niitama-3-1-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ _____ __ __ ║
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sao10k-l3-niitama-3-1-v1-mkmlizer: ║ /___/ ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ Version: 0.9.9 ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ https://mk1.ai ║
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sao10k-l3-niitama-3-1-v1-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ║ ║
sao10k-l3-niitama-3-1-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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
sao10k-l3-niitama-3-1-v1-mkmlizer: Downloaded to shared memory in 28.039s
sao10k-l3-niitama-3-1-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp0wq5jg63, device:0
sao10k-l3-niitama-3-1-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_dalem_2024-08-02: ('http://neversleep-noromaid-v0-8068-v142-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:53216->127.0.0.1:8080: read: connection reset by peer\n')
sao10k-l3-niitama-3-1-v1-mkmlizer: quantized model in 26.842s
sao10k-l3-niitama-3-1-v1-mkmlizer: Processed model Sao10K/L3-Niitama-3.1 in 54.881s
sao10k-l3-niitama-3-1-v1-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-niitama-3-1-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-niitama-3-1-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-niitama-3-1-v1
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-niitama-3-1-v1/special_tokens_map.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-niitama-3-1-v1/config.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-niitama-3-1-v1/tokenizer_config.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-niitama-3-1-v1/tokenizer.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-niitama-3-1-v1/flywheel_model.0.safetensors
sao10k-l3-niitama-3-1-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-l3-niitama-3-1-v1-mkmlizer: warnings.warn(
sao10k-l3-niitama-3-1-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-l3-niitama-3-1-v1-mkmlizer: warnings.warn(
sao10k-l3-niitama-3-1-v1-mkmlizer: Saving duration: 1.412s
sao10k-l3-niitama-3-1-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.570s
sao10k-l3-niitama-3-1-v1-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-niitama-3-1-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-niitama-3-1-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/config.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/special_tokens_map.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/tokenizer_config.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/merges.txt
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/vocab.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/tokenizer.json
sao10k-l3-niitama-3-1-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-niitama-3-1-v1_reward/reward.tensors
Job sao10k-l3-niitama-3-1-v1-mkmlizer completed after 105.44s with status: succeeded
Stopping job with name sao10k-l3-niitama-3-1-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.72s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-niitama-3-1-v1
Waiting for inference service sao10k-l3-niitama-3-1-v1 to be ready
Inference service sao10k-l3-niitama-3-1-v1 ready after 151.20951795578003s
Pipeline stage ISVCDeployer completed in 153.15s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.42697811126709s
Received healthy response to inference request in 1.468459129333496s
Received healthy response to inference request in 1.4350323677062988s
Received healthy response to inference request in 1.4222850799560547s
Received healthy response to inference request in 1.478926420211792s
5 requests
0 failed requests
5th percentile: 1.4248345375061036
10th percentile: 1.4273839950561524
20th percentile: 1.43248291015625
30th percentile: 1.4417177200317384
40th percentile: 1.4550884246826172
50th percentile: 1.468459129333496
60th percentile: 1.4726460456848145
70th percentile: 1.476832962036133
80th percentile: 1.6685367584228517
90th percentile: 2.047757434844971
95th percentile: 2.23736777305603
99th percentile: 2.389056043624878
mean time: 1.6463362216949462
Pipeline stage StressChecker completed in 8.84s
sao10k-l3-niitama-3-1_v1 status is now deployed due to DeploymentManager action
sao10k-l3-niitama-3-1_v1 status is now inactive due to auto deactivation removed underperforming models
sao10k-l3-niitama-3-1_v1 status is now torndown due to DeploymentManager action