submission_id: cycy233-l3-ss-e-v2-c2_v1
developer_uid: shiroe40
best_of: 16
celo_rating: 1223.73
display_name: auto
family_friendly_score: 0.0
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}
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|end_header_id|>', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: False
language_model: cycy233/L3-ss-e-v2-c2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cycy233/L3-ss-e-v2-c2
model_name: auto
model_num_parameters: 8030261248.0
model_repo: cycy233/L3-ss-e-v2-c2
model_size: 8B
num_battles: 10955
num_wins: 5588
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: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-14T03:47:26+00:00
us_pacific_date: 2024-08-13
win_ratio: 0.5100867183934277
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-ss-e-v2-c2-v1-mkmlizer
Waiting for job on cycy233-l3-ss-e-v2-c2-v1-mkmlizer to finish
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ ║
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ Version: 0.9.9 ║
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
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cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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cycy233-l3-ss-e-v2-c2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Downloaded to shared memory in 29.753s
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmptjyjxcwi, device:0
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: quantized model in 26.004s
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Processed model cycy233/L3-ss-e-v2-c2 in 55.757s
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c2-v1
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c2-v1/config.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c2-v1/special_tokens_map.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c2-v1/tokenizer_config.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-ss-e-v2-c2-v1/tokenizer.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%|▏ | 4/291 [00:00<00:07, 39.15it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 64.58it/s] Loading 0: 8%|▊ | 22/291 [00:00<00:03, 72.16it/s] Loading 0: 11%|█ | 31/291 [00:00<00:03, 73.82it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:03, 77.58it/s] Loading 0: 17%|█▋ | 49/291 [00:00<00:03, 79.38it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:02, 80.00it/s] Loading 0: 23%|██▎ | 67/291 [00:00<00:02, 80.39it/s] Loading 0: 26%|██▌ | 76/291 [00:00<00:02, 81.72it/s] Loading 0: 29%|██▉ | 85/291 [00:02<00:09, 20.81it/s] Loading 0: 32%|███▏ | 94/291 [00:02<00:07, 27.15it/s] Loading 0: 35%|███▌ | 103/291 [00:02<00:05, 33.58it/s] Loading 0: 38%|███▊ | 112/291 [00:02<00:04, 41.19it/s] Loading 0: 42%|████▏ | 121/291 [00:02<00:03, 48.75it/s] Loading 0: 45%|████▍ | 130/291 [00:02<00:02, 56.53it/s] Loading 0: 48%|████▊ | 139/291 [00:02<00:02, 63.11it/s] Loading 0: 51%|█████ | 148/291 [00:02<00:02, 68.38it/s] Loading 0: 54%|█████▍ | 157/291 [00:02<00:01, 73.13it/s] Loading 0: 57%|█████▋ | 166/291 [00:03<00:01, 77.09it/s] Loading 0: 60%|██████ | 175/291 [00:03<00:01, 76.91it/s] Loading 0: 63%|██████▎ | 184/291 [00:03<00:01, 77.54it/s] Loading 0: 66%|██████▋ | 193/291 [00:04<00:04, 21.59it/s] Loading 0: 69%|██████▉ | 202/291 [00:04<00:03, 27.71it/s] Loading 0: 73%|███████▎ | 211/291 [00:04<00:02, 34.62it/s] Loading 0: 76%|███████▌ | 220/291 [00:04<00:01, 42.34it/s] Loading 0: 79%|███████▊ | 229/291 [00:04<00:01, 49.75it/s] Loading 0: 82%|████████▏ | 238/291 [00:04<00:00, 55.64it/s] Loading 0: 85%|████████▍ | 247/291 [00:05<00:00, 62.04it/s] Loading 0: 88%|████████▊ | 256/291 [00:05<00:00, 65.29it/s] Loading 0: 91%|█████████ | 265/291 [00:05<00:00, 70.46it/s] Loading 0: 94%|█████████▍| 274/291 [00:05<00:00, 74.13it/s] Loading 0: 97%|█████████▋| 283/291 [00:05<00:00, 76.98it/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.
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-e-v2-c2-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.
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-e-v2-c2-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.
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: warnings.warn(
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Saving duration: 1.359s
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 9.827s
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/config.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/special_tokens_map.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/tokenizer_config.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/merges.txt
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/vocab.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/tokenizer.json
cycy233-l3-ss-e-v2-c2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-ss-e-v2-c2-v1_reward/reward.tensors
Job cycy233-l3-ss-e-v2-c2-v1-mkmlizer completed after 104.2s with status: succeeded
Stopping job with name cycy233-l3-ss-e-v2-c2-v1-mkmlizer
Pipeline stage MKMLizer completed in 105.74s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-ss-e-v2-c2-v1
Waiting for inference service cycy233-l3-ss-e-v2-c2-v1 to be ready
Inference service cycy233-l3-ss-e-v2-c2-v1 ready after 301.3888554573059s
Pipeline stage ISVCDeployer completed in 303.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.303985834121704s
Received healthy response to inference request in 1.5556066036224365s
Received healthy response to inference request in 1.4977138042449951s
Received healthy response to inference request in 1.4860765933990479s
Received healthy response to inference request in 1.5354557037353516s
5 requests
0 failed requests
5th percentile: 1.4884040355682373
10th percentile: 1.4907314777374268
20th percentile: 1.4953863620758057
30th percentile: 1.5052621841430665
40th percentile: 1.520358943939209
50th percentile: 1.5354557037353516
60th percentile: 1.5435160636901855
70th percentile: 1.5515764236450196
80th percentile: 1.7052824497222903
90th percentile: 2.004634141921997
95th percentile: 2.1543099880218506
99th percentile: 2.2740506649017336
mean time: 1.675767707824707
Pipeline stage StressChecker completed in 9.25s
cycy233-l3-ss-e-v2-c2_v1 status is now deployed due to DeploymentManager action
cycy233-l3-ss-e-v2-c2_v1 status is now inactive due to auto deactivation removed underperforming models
cycy233-l3-ss-e-v2-c2_v1 status is now torndown due to DeploymentManager action