submission_id: cgato-l3-thespice-8b-sto_5210_v4
developer_uid: c.gato
best_of: 16
celo_rating: 1188.05
display_name: cgato-l3-thespice-8b-sto_5210_v4
family_friendly_score: 0.0
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{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': 0.1, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-Stoic-Silence-4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-Sto
model_name: cgato-l3-thespice-8b-sto_5210_v4
model_num_parameters: 8030277632.0
model_repo: cgato/L3-TheSpice-8b-Stoic-Silence-4
model_size: 8B
num_battles: 18055
num_wins: 9265
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: 2024-05-18T13:36:00+00:00
us_pacific_date: 2024-05-18
win_ratio: 0.5131542509000276
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-sto-5210-v4-mkmlizer
Waiting for job on cgato-l3-thespice-8b-sto-5210-v4-mkmlizer to finish
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-sto-5210-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-l3-thespice-8b-sto-5210-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Downloaded to shared memory in 17.496s
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:00<00:02, 88.23it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:00, 104.12it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 149.82it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: quantized model in 17.783s
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Processed model cgato/L3-TheSpice-8b-Stoic-Silence-4 in 36.419s
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-sto-5210-v4
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-sto-5210-v4/config.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-sto-5210-v4/tokenizer_config.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-sto-5210-v4/special_tokens_map.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-sto-5210-v4/tokenizer.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-sto-5210-v4/flywheel_model.0.safetensors
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-sto-5210-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-l3-thespice-8b-sto-5210-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-sto-5210-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-l3-thespice-8b-sto-5210-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-sto-5210-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-l3-thespice-8b-sto-5210-v4-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-sto-5210-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-l3-thespice-8b-sto-5210-v4-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Saving duration: 0.254s
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.219s
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/config.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/tokenizer_config.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/special_tokens_map.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/vocab.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/merges.txt
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/tokenizer.json
cgato-l3-thespice-8b-sto-5210-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-sto-5210-v4_reward/reward.tensors
Job cgato-l3-thespice-8b-sto-5210-v4-mkmlizer completed after 62.8s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-sto-5210-v4-mkmlizer
Pipeline stage MKMLizer completed in 65.69s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-sto-5210-v4
Waiting for inference service cgato-l3-thespice-8b-sto-5210-v4 to be ready
Inference service cgato-l3-thespice-8b-sto-5210-v4 ready after 30.2007954120636s
Pipeline stage ISVCDeployer completed in 37.11s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.135673761367798s
Received healthy response to inference request in 1.3274316787719727s
Received healthy response to inference request in 1.315840721130371s
Received healthy response to inference request in 1.314741849899292s
Received healthy response to inference request in 1.306800127029419s
5 requests
0 failed requests
5th percentile: 1.3083884716033936
10th percentile: 1.3099768161773682
20th percentile: 1.3131535053253174
30th percentile: 1.3149616241455078
40th percentile: 1.3154011726379395
50th percentile: 1.315840721130371
60th percentile: 1.3204771041870118
70th percentile: 1.3251134872436523
80th percentile: 1.4890800952911378
90th percentile: 1.812376928329468
95th percentile: 1.9740253448486327
99th percentile: 2.103344078063965
mean time: 1.4800976276397706
Pipeline stage StressChecker completed in 8.03s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-sto_5210_v4 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-sto_5210_v4 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-sto_5210_v4
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-sto-5210-v4 is running
Tearing down inference service cgato-l3-thespice-8b-sto-5210-v4
Toredown service cgato-l3-thespice-8b-sto-5210-v4
Pipeline stage ISVCDeleter completed in 5.01s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-sto-5210-v4/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-sto-5210-v4_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.68s
cgato-l3-thespice-8b-sto_5210_v4 status is now torndown due to DeploymentManager action