submission_id: cgato-thesalt-rp-l3-8b-d_3430_v2
developer_uid: c.gato
best_of: 16
celo_rating: 1206.38
display_name: cgato-thesalt-rp-l3-8b-d_3430_v2
family_friendly_score: 0.0
formatter: {'memory_template': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '\\r', '\\r\n', '\n\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.7.2
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cgato/TheSalt-RP-L3-8b-D
model_name: cgato-thesalt-rp-l3-8b-d_3430_v2
model_num_parameters: 8030294016.0
model_repo: cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.7.2
model_size: 8B
num_battles: 20230
num_wins: 10795
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': True, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-07-04T15:19:23+00:00
us_pacific_date: 2024-07-04
win_ratio: 0.5336134453781513
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer
Waiting for job on cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer to finish
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ _____ __ __ ║
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cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ /___/ ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ Version: 0.8.14 ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ https://mk1.ai ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ belonging to: ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Downloaded to shared memory in 43.750s
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 105.20it/s] Loading 0: 8%|▊ | 23/291 [00:00<00:03, 88.27it/s] Loading 0: 12%|█▏ | 35/291 [00:00<00:02, 100.69it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:02, 102.72it/s] Loading 0: 20%|██ | 59/291 [00:00<00:02, 93.57it/s] Loading 0: 25%|██▍ | 72/291 [00:00<00:02, 102.41it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:04, 51.76it/s] Loading 0: 32%|███▏ | 93/291 [00:01<00:03, 58.33it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:02, 64.70it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:02, 69.67it/s] Loading 0: 42%|████▏ | 122/291 [00:01<00:02, 70.59it/s] Loading 0: 46%|████▌ | 133/291 [00:01<00:01, 79.67it/s] Loading 0: 49%|████▉ | 144/291 [00:01<00:01, 86.36it/s] Loading 0: 54%|█████▎ | 156/291 [00:01<00:01, 91.31it/s] Loading 0: 57%|█████▋ | 166/291 [00:02<00:01, 90.00it/s] Loading 0: 62%|██████▏ | 179/291 [00:02<00:01, 98.67it/s] Loading 0: 65%|██████▌ | 190/291 [00:02<00:01, 56.10it/s] Loading 0: 69%|██████▉ | 201/291 [00:02<00:01, 64.28it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:01, 69.57it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 74.15it/s] Loading 0: 80%|████████ | 233/291 [00:03<00:00, 84.74it/s] Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 90.94it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 90.13it/s] Loading 0: 91%|█████████▏| 266/291 [00:03<00:00, 91.82it/s] Loading 0: 97%|█████████▋| 281/291 [00:03<00:00, 103.88it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: quantized model in 25.021s
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Processed model cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.7.2 in 68.772s
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-3430-v2
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-3430-v2/config.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-3430-v2/special_tokens_map.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-3430-v2/tokenizer_config.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-3430-v2/tokenizer.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-thesalt-rp-l3-8b-d-3430-v2/flywheel_model.0.safetensors
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-3430-v2-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.
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-3430-v2-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.
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: warnings.warn(
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Saving duration: 0.725s
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.815s
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/tokenizer_config.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/config.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/special_tokens_map.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/merges.txt
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/vocab.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/tokenizer.json
cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thesalt-rp-l3-8b-d-3430-v2_reward/reward.tensors
Job cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer completed after 104.42s with status: succeeded
Stopping job with name cgato-thesalt-rp-l3-8b-d-3430-v2-mkmlizer
Pipeline stage MKMLizer completed in 105.46s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thesalt-rp-l3-8b-d-3430-v2
Waiting for inference service cgato-thesalt-rp-l3-8b-d-3430-v2 to be ready
Inference service cgato-thesalt-rp-l3-8b-d-3430-v2 ready after 40.186298847198486s
Pipeline stage ISVCDeployer completed in 47.17s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9837167263031006s
Received healthy response to inference request in 1.2903358936309814s
Received healthy response to inference request in 1.2670559883117676s
Received healthy response to inference request in 1.2681713104248047s
Received healthy response to inference request in 1.2384839057922363s
5 requests
0 failed requests
5th percentile: 1.2441983222961426
10th percentile: 1.2499127388000488
20th percentile: 1.2613415718078613
30th percentile: 1.267279052734375
40th percentile: 1.2677251815795898
50th percentile: 1.2681713104248047
60th percentile: 1.2770371437072754
70th percentile: 1.285902976989746
80th percentile: 1.4290120601654053
90th percentile: 1.706364393234253
95th percentile: 1.8450405597686768
99th percentile: 1.9559814929962158
mean time: 1.409552764892578
Pipeline stage StressChecker completed in 7.87s
cgato-thesalt-rp-l3-8b-d_3430_v2 status is now deployed due to DeploymentManager action
cgato-thesalt-rp-l3-8b-d_3430_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thesalt-rp-l3-8b-d_3430_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-thesalt-rp-l3-8b-d-3430-v2 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 5.84s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thesalt-rp-l3-8b-d-3430-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.28s
cgato-thesalt-rp-l3-8b-d_3430_v2 status is now torndown due to DeploymentManager action