submission_id: sao10k-l3-rp-v3-3_v9
developer_uid: dzhao1
status: inactive
model_repo: Sao10K/L3-RP-v3.3
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
generation_params: {'temperature': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}'], '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': '', 'prompt_template': '', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-07-01T23:16:44+00:00
model_name: sao10k-l3-rp-v3-3_v9
model_group: Sao10K/L3-RP-v3.3
num_battles: 10311
num_wins: 6026
celo_rating: 1227.27
propriety_score: 0.7192704203013481
propriety_total_count: 5044.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: sao10k-l3-rp-v3-3_v9
ineligible_reason: None
language_model: Sao10K/L3-RP-v3.3
model_size: 8B
reward_model: ChaiML/gpt2_xl_pairwise_89m_step_347634
us_pacific_date: 2024-07-01
win_ratio: 0.5844244011250121
Resubmit model
Running pipeline stage MKMLizer
Starting job with name sao10k-l3-rp-v3-3-v9-mkmlizer
Waiting for job on sao10k-l3-rp-v3-3-v9-mkmlizer to finish
sao10k-l3-rp-v3-3-v9-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ _____ __ __ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ /___/ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ Version: 0.8.14 ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ https://mk1.ai ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ The license key for the current software has been verified as ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ belonging to: ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ Chai Research Corp. ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ║ ║
sao10k-l3-rp-v3-3-v9-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
sao10k-l3-rp-v3-3-v9-mkmlizer: Downloaded to shared memory in 37.336s
sao10k-l3-rp-v3-3-v9-mkmlizer: quantizing model to /dev/shm/model_cache
sao10k-l3-rp-v3-3-v9-mkmlizer: Saving flywheel model at /dev/shm/model_cache
sao10k-l3-rp-v3-3-v9-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:44, 2.44s/it] Loading 0: 4%|▍ | 13/291 [00:04<01:19, 3.52it/s] Loading 0: 8%|▊ | 23/291 [00:05<00:36, 7.25it/s] Loading 0: 11%|█▏ | 33/291 [00:05<00:21, 12.09it/s] Loading 0: 17%|█▋ | 49/291 [00:05<00:10, 22.15it/s] Loading 0: 21%|██ | 60/291 [00:05<00:10, 22.63it/s] Loading 0: 25%|██▌ | 74/291 [00:05<00:06, 32.91it/s] Loading 0: 29%|██▉ | 85/291 [00:05<00:04, 41.32it/s] Loading 0: 33%|███▎ | 95/291 [00:06<00:03, 49.29it/s] Loading 0: 36%|███▌ | 105/291 [00:06<00:03, 57.12it/s] Loading 0: 42%|████▏ | 121/291 [00:06<00:02, 73.77it/s] Loading 0: 45%|████▌ | 132/291 [00:06<00:02, 76.96it/s] Loading 0: 51%|█████ | 148/291 [00:06<00:01, 91.77it/s] Loading 0: 55%|█████▍ | 160/291 [00:06<00:01, 93.45it/s] Loading 0: 59%|█████▉ | 171/291 [00:07<00:02, 56.92it/s] Loading 0: 63%|██████▎ | 184/291 [00:07<00:01, 67.95it/s] Loading 0: 67%|██████▋ | 194/291 [00:07<00:01, 71.67it/s] Loading 0: 70%|███████ | 204/291 [00:07<00:01, 76.45it/s] Loading 0: 74%|███████▍ | 216/291 [00:07<00:00, 85.82it/s] Loading 0: 78%|███████▊ | 227/291 [00:07<00:00, 91.33it/s] Loading 0: 82%|████████▏ | 238/291 [00:07<00:00, 94.79it/s] Loading 0: 86%|████████▌ | 249/291 [00:07<00:00, 90.33it/s] Loading 0: 89%|████████▉ | 260/291 [00:07<00:00, 95.07it/s] Loading 0: 93%|█████████▎| 271/291 [00:08<00:00, 55.04it/s] Loading 0: 97%|█████████▋| 283/291 [00:08<00:00, 66.06it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
sao10k-l3-rp-v3-3-v9-mkmlizer: quantized model in 25.065s
sao10k-l3-rp-v3-3-v9-mkmlizer: Processed model Sao10K/L3-RP-v3.3 in 62.401s
sao10k-l3-rp-v3-3-v9-mkmlizer: creating bucket guanaco-mkml-models
sao10k-l3-rp-v3-3-v9-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
sao10k-l3-rp-v3-3-v9-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v9
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v9/config.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v9/tokenizer_config.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v9/special_tokens_map.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v9/tokenizer.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/sao10k-l3-rp-v3-3-v9/flywheel_model.0.safetensors
sao10k-l3-rp-v3-3-v9-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-v3-3-v9-mkmlizer: warnings.warn(
sao10k-l3-rp-v3-3-v9-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-v3-3-v9-mkmlizer: warnings.warn(
sao10k-l3-rp-v3-3-v9-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.52it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.61it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.35it/s]
sao10k-l3-rp-v3-3-v9-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
sao10k-l3-rp-v3-3-v9-mkmlizer: Saving duration: 1.713s
sao10k-l3-rp-v3-3-v9-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.198s
sao10k-l3-rp-v3-3-v9-mkmlizer: creating bucket guanaco-reward-models
sao10k-l3-rp-v3-3-v9-mkmlizer: Bucket 's3://guanaco-reward-models/' created
sao10k-l3-rp-v3-3-v9-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/special_tokens_map.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/config.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/tokenizer_config.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/merges.txt
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/tokenizer.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/vocab.json
sao10k-l3-rp-v3-3-v9-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/sao10k-l3-rp-v3-3-v9_reward/reward.tensors
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Job sao10k-l3-rp-v3-3-v9-mkmlizer completed after 117.38s with status: succeeded
Stopping job with name sao10k-l3-rp-v3-3-v9-mkmlizer
Pipeline stage MKMLizer completed in 118.28s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service sao10k-l3-rp-v3-3-v9
Waiting for inference service sao10k-l3-rp-v3-3-v9 to be ready
Inference service sao10k-l3-rp-v3-3-v9 ready after 40.37385129928589s
Pipeline stage ISVCDeployer completed in 47.58s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2043230533599854s
Received healthy response to inference request in 1.3301365375518799s
Received healthy response to inference request in 1.3741798400878906s
Received healthy response to inference request in 1.369837999343872s
Received healthy response to inference request in 1.5752878189086914s
5 requests
0 failed requests
5th percentile: 1.3380768299102783
10th percentile: 1.3460171222686768
20th percentile: 1.3618977069854736
30th percentile: 1.3707063674926758
40th percentile: 1.3724431037902831
50th percentile: 1.3741798400878906
60th percentile: 1.454623031616211
70th percentile: 1.5350662231445311
80th percentile: 1.7010948657989502
90th percentile: 1.9527089595794678
95th percentile: 2.0785160064697266
99th percentile: 2.1791616439819337
mean time: 1.5707530498504638
Pipeline stage StressChecker completed in 8.65s
sao10k-l3-rp-v3-3_v9 status is now deployed due to DeploymentManager action
sao10k-l3-rp-v3-3_v9 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics