submission_id: cgato-thespice-l3-8b-v0-_3213_v4
developer_uid: c.gato
best_of: 16
celo_rating: 1195.27
display_name: cgato-thespice-l3-8b-v0-_3213_v4
family_friendly_score: 0.0
formatter: {'memory_template': '<|im_start|>system\n{memory}', 'prompt_template': '\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': 1.25, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/TheSpice-L3-8b-v0.3.1-Base
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: cgato/TheSpice-L3-8b-v0.
model_name: cgato-thespice-l3-8b-v0-_3213_v4
model_num_parameters: 8030294016.0
model_repo: cgato/TheSpice-L3-8b-v0.3.1-Base
model_size: 8B
num_battles: 35249
num_wins: 18981
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: 2024-06-18T03:48:31+00:00
us_pacific_date: 2024-06-17
win_ratio: 0.5384833612301059
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-l3-8b-v0-3213-v4-mkmlizer
Waiting for job on cgato-thespice-l3-8b-v0-3213-v4-mkmlizer to finish
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ║ /___/ ║
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ║ ║
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ║ Version: 0.8.14 ║
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ║ https://mk1.ai ║
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cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ║ Chai Research Corp. ║
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cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Downloaded to shared memory in 18.263s
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 126.88it/s] Loading 0: 11%|█ | 32/291 [00:00<00:01, 148.65it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:01, 155.06it/s] Loading 0: 23%|██▎ | 68/291 [00:00<00:01, 158.95it/s] Loading 0: 29%|██▉ | 84/291 [00:00<00:02, 86.94it/s] Loading 0: 34%|███▍ | 100/291 [00:00<00:01, 102.07it/s] Loading 0: 39%|███▉ | 114/291 [00:00<00:01, 108.57it/s] Loading 0: 45%|████▌ | 131/291 [00:01<00:01, 120.09it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:01, 131.35it/s] Loading 0: 57%|█████▋ | 166/291 [00:01<00:00, 140.37it/s] Loading 0: 63%|██████▎ | 184/291 [00:01<00:00, 149.70it/s] Loading 0: 69%|██████▊ | 200/291 [00:01<00:01, 90.12it/s] Loading 0: 73%|███████▎ | 213/291 [00:01<00:00, 96.98it/s] Loading 0: 79%|███████▉ | 230/291 [00:01<00:00, 110.51it/s] Loading 0: 85%|████████▌ | 248/291 [00:02<00:00, 123.82it/s] Loading 0: 91%|█████████▏| 266/291 [00:02<00:00, 134.42it/s] Loading 0: 98%|█████████▊| 284/291 [00:02<00:00, 145.92it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: quantized model in 23.155s
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Processed model cgato/TheSpice-L3-8b-v0.3.1-Base in 44.058s
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v4
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v4/special_tokens_map.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v4/config.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v4/tokenizer_config.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v4/tokenizer.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3213-v4/flywheel_model.0.safetensors
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3213-v4-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-thespice-l3-8b-v0-3213-v4-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3213-v4-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-thespice-l3-8b-v0-3213-v4-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Saving duration: 0.402s
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.278s
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/config.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/merges.txt
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/special_tokens_map.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/tokenizer_config.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/vocab.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/tokenizer.json
cgato-thespice-l3-8b-v0-3213-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3213-v4_reward/reward.tensors
Job cgato-thespice-l3-8b-v0-3213-v4-mkmlizer completed after 73.36s with status: succeeded
Stopping job with name cgato-thespice-l3-8b-v0-3213-v4-mkmlizer
Pipeline stage MKMLizer completed in 77.50s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-l3-8b-v0-3213-v4
Waiting for inference service cgato-thespice-l3-8b-v0-3213-v4 to be ready
Inference service cgato-thespice-l3-8b-v0-3213-v4 ready after 100.69559001922607s
Pipeline stage ISVCDeployer completed in 108.28s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1081056594848633s
Received healthy response to inference request in 1.300252914428711s
Received healthy response to inference request in 1.306548833847046s
Received healthy response to inference request in 1.2959120273590088s
Received healthy response to inference request in 1.3125331401824951s
5 requests
0 failed requests
5th percentile: 1.2967802047729493
10th percentile: 1.2976483821868896
20th percentile: 1.2993847370147704
30th percentile: 1.301512098312378
40th percentile: 1.304030466079712
50th percentile: 1.306548833847046
60th percentile: 1.3089425563812256
70th percentile: 1.3113362789154053
80th percentile: 1.4716476440429689
90th percentile: 1.7898766517639162
95th percentile: 1.9489911556243895
99th percentile: 2.0762827587127686
mean time: 1.464670515060425
Pipeline stage StressChecker completed in 7.96s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cgato-thespice-l3-8b-v0-_3213_v4 status is now deployed due to DeploymentManager action
cgato-thespice-l3-8b-v0-_3213_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-thespice-l3-8b-v0-_3213_v4
Running pipeline stage ISVCDeleter
Checking if service cgato-thespice-l3-8b-v0-3213-v4 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 2.40s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-thespice-l3-8b-v0-3213-v4/config.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-thespice-l3-8b-v0-3213-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.28s
cgato-thespice-l3-8b-v0-_3213_v4 status is now torndown due to DeploymentManager action