chaiml-sao10k-l3-rp-v3-3

developer_uid: robert_irvine

submission_id: chaiml-sao10k-l3-rp-v3-3_v75

model_name: chaiml-sao10k-l3-rp-v3-3_v75

model_group: ChaiML/sao10k-l3-rp-v3-3

status: torndown

timestamp: 2024-08-01T19:09:48+00:00

num_battles: 22490

num_wins: 11144

celo_rating: 1221.29

family_friendly_score: 0.0

submission_type: basic

model_repo: ChaiML/sao10k-l3-rp-v3-3

model_architecture: LlamaForCausalLM

reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

display_name: chaiml-sao10k-l3-rp-v3-3_v75

is_internal_developer: True

language_model: ChaiML/sao10k-l3-rp-v3-3

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-01

win_ratio: 0.49550911516229434

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, '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: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}

Resubmit model

Running pipeline stage MKMLizer
Starting job with name chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer
Waiting for job on chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer to finish
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║     _____            __           __                                ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║       /___/                                                         ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║                                                                     ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  Version: 0.9.7                                                     ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  https://mk1.ai                                                     ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║                                                                     ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  The license key for the current software has been verified as      ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  belonging to:                                                      ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║                                                                     ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  Chai Research Corp.                                                ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ║                                                                     ║
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Downloaded to shared memory in 22.467s
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp_9b8iz05, device:0
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission blend_sugom_2024-08-01: 'BlendChatApi' object has no attribute 'tags'
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: quantized model in 26.011s
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Processed model ChaiML/sao10k-l3-rp-v3-3 in 48.478s
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: creating bucket guanaco-mkml-models
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v75
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v75/config.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v75/special_tokens_map.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v75/tokenizer_config.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v75/tokenizer.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/chaiml-sao10k-l3-rp-v3-3-v75/flywheel_model.0.safetensors
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: 
Loading 0:   0%|          | 0/291 [00:00<?, ?it/s]
Loading 0:   1%|          | 2/291 [00:04<11:27,  2.38s/it]
Loading 0:   2%|▏         | 6/291 [00:04<03:02,  1.56it/s]
Loading 0:   4%|▍         | 13/291 [00:04<01:05,  4.26it/s]
Loading 0:   7%|▋         | 19/291 [00:05<00:37,  7.21it/s]
Loading 0:   8%|▊         | 24/291 [00:05<00:27,  9.78it/s]
Loading 0:  11%|█         | 32/291 [00:05<00:16, 15.90it/s]
Loading 0:  13%|█▎        | 38/291 [00:05<00:12, 19.73it/s]
Loading 0:  15%|█▍        | 43/291 [00:05<00:10, 23.29it/s]
Loading 0:  17%|█▋        | 50/291 [00:05<00:07, 30.22it/s]
Loading 0:  19%|█▉        | 56/291 [00:05<00:07, 32.64it/s]
Loading 0:  21%|██        | 61/291 [00:06<00:09, 24.71it/s]
Loading 0:  23%|██▎       | 68/291 [00:06<00:07, 31.03it/s]
Loading 0:  25%|██▌       | 74/291 [00:06<00:06, 33.45it/s]
Loading 0:  27%|██▋       | 79/291 [00:06<00:05, 36.00it/s]
Loading 0:  30%|██▉       | 86/291 [00:06<00:04, 42.68it/s]
Loading 0:  32%|███▏      | 92/291 [00:06<00:04, 41.15it/s]
Loading 0:  33%|███▎      | 97/291 [00:06<00:04, 42.19it/s]
Loading 0:  36%|███▌      | 104/291 [00:07<00:03, 48.21it/s]
Loading 0:  38%|███▊      | 110/291 [00:07<00:03, 46.33it/s]
Loading 0:  40%|███▉      | 115/291 [00:07<00:03, 45.05it/s]
Loading 0:  42%|████▏     | 122/291 [00:07<00:03, 50.22it/s]
Loading 0:  44%|████▍     | 128/291 [00:07<00:03, 47.23it/s]
Loading 0:  46%|████▌     | 133/291 [00:07<00:03, 47.06it/s]
Loading 0:  48%|████▊     | 140/291 [00:07<00:02, 52.35it/s]
Loading 0:  50%|█████     | 146/291 [00:07<00:03, 48.01it/s]
Loading 0:  52%|█████▏    | 151/291 [00:08<00:02, 47.50it/s]
Loading 0:  54%|█████▍    | 158/291 [00:08<00:02, 52.03it/s]
Loading 0:  56%|█████▋    | 164/291 [00:08<00:02, 48.66it/s]
Loading 0:  58%|█████▊    | 169/291 [00:08<00:03, 32.81it/s]
Loading 0:  60%|██████    | 176/291 [00:08<00:02, 39.78it/s]
Loading 0:  63%|██████▎   | 182/291 [00:08<00:02, 40.43it/s]
Loading 0:  64%|██████▍   | 187/291 [00:08<00:02, 41.89it/s]
Loading 0:  67%|██████▋   | 194/291 [00:09<00:02, 47.28it/s]
Loading 0:  69%|██████▊   | 200/291 [00:09<00:01, 45.84it/s]
Loading 0:  70%|███████   | 205/291 [00:09<00:01, 46.24it/s]
Loading 0:  73%|███████▎  | 211/291 [00:09<00:01, 49.01it/s]
Loading 0:  75%|███████▍  | 217/291 [00:09<00:01, 50.73it/s]
Loading 0:  77%|███████▋  | 223/291 [00:09<00:01, 45.32it/s]
Loading 0:  79%|███████▉  | 230/291 [00:09<00:01, 50.32it/s]
Loading 0:  81%|████████  | 236/291 [00:09<00:01, 47.35it/s]
Loading 0:  83%|████████▎ | 241/291 [00:10<00:01, 46.54it/s]
Loading 0:  85%|████████▌ | 248/291 [00:10<00:00, 51.73it/s]
Loading 0:  87%|████████▋ | 254/291 [00:10<00:00, 47.76it/s]
Loading 0:  89%|████████▉ | 259/291 [00:10<00:00, 46.98it/s]
Loading 0:  91%|█████████▏| 266/291 [00:10<00:00, 36.03it/s]
Loading 0:  93%|█████████▎| 272/291 [00:10<00:00, 37.04it/s]
Loading 0:  95%|█████████▌| 277/291 [00:10<00:00, 39.22it/s]
Loading 0:  98%|█████████▊| 284/291 [00:11<00:00, 45.65it/s]
Loading 0: 100%|█████████▉| 290/291 [00:11<00:00, 44.33it/s]
                                                            
/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.
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer:   warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v75-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.
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer:   warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v75-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.
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer:   warnings.warn(
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: 
Downloading shards:   0%|          | 0/2 [00:00<?, ?it/s]
Downloading shards:  50%|█████     | 1/2 [00:05<00:05,  5.54s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.00s/it]
Downloading shards: 100%|██████████| 2/2 [00:08<00:00,  4.23s/it]
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: 
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
Loading checkpoint shards:  50%|█████     | 1/2 [00:00<00:00,  2.40it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.98it/s]
Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00,  3.62it/s]
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Saving duration: 1.334s
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.466s
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: creating bucket guanaco-reward-models
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: Bucket 's3://guanaco-reward-models/' created
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/config.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/special_tokens_map.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/tokenizer_config.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/merges.txt
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/vocab.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/tokenizer.json
chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/chaiml-sao10k-l3-rp-v3-3-v75_reward/reward.tensors
Job chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer completed after 95.13s with status: succeeded
Stopping job with name chaiml-sao10k-l3-rp-v3-3-v75-mkmlizer
Pipeline stage MKMLizer completed in 96.15s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.37s
Running pipeline stage ISVCDeployer
Creating inference service chaiml-sao10k-l3-rp-v3-3-v75
Waiting for inference service chaiml-sao10k-l3-rp-v3-3-v75 to be ready
Failed to get response for submission blend_sugom_2024-08-01: 'BlendChatApi' object has no attribute 'tags'
Inference service chaiml-sao10k-l3-rp-v3-3-v75 ready after 131.18604946136475s
Pipeline stage ISVCDeployer completed in 132.81s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.984663486480713s
Received healthy response to inference request in 1.244001865386963s
Received healthy response to inference request in 1.2368693351745605s
Received healthy response to inference request in 1.2715046405792236s
Received healthy response to inference request in 1.2075343132019043s
5 requests
0 failed requests
5th percentile: 1.2134013175964355
10th percentile: 1.2192683219909668
20th percentile: 1.2310023307800293
30th percentile: 1.238295841217041
40th percentile: 1.2411488533020019
50th percentile: 1.244001865386963
60th percentile: 1.2550029754638672
70th percentile: 1.2660040855407715
80th percentile: 1.4141364097595217
90th percentile: 1.6993999481201172
95th percentile: 1.8420317173004148
99th percentile: 1.9561371326446533
mean time: 1.3889147281646728
Pipeline stage StressChecker completed in 7.70s
chaiml-sao10k-l3-rp-v3-3_v75 status is now deployed due to DeploymentManager action
chaiml-sao10k-l3-rp-v3-3_v75 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of chaiml-sao10k-l3-rp-v3-3_v75
Running pipeline stage ISVCDeleter
Checking if service chaiml-sao10k-l3-rp-v3-3-v75 is running
Tearing down inference service chaiml-sao10k-l3-rp-v3-3-v75
Service chaiml-sao10k-l3-rp-v3-3-v75 has been torndown
Pipeline stage ISVCDeleter completed in 4.70s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key chaiml-sao10k-l3-rp-v3-3-v75/config.json from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75/tokenizer.json from bucket guanaco-mkml-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/config.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/merges.txt from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/reward.tensors from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key chaiml-sao10k-l3-rp-v3-3-v75_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.53s
chaiml-sao10k-l3-rp-v3-3_v75 status is now torndown due to DeploymentManager action