submission_id: cgato-l3-thespice-8b-v1-2_v2
developer_uid: c.gato
status: torndown
model_repo: cgato/L3-TheSpice-8b-v1.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-24T19:13:02+00:00
model_name: cgato-l3-thespice-8b-v1-2_v2
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v1.
num_battles: 8093
num_wins: 4364
celo_rating: 1181.38
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-v1-2_v2
ineligible_reason: propriety_total_count < 800
language_model: cgato/L3-TheSpice-8b-v1.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-24
win_ratio: 0.5392314345730879
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v1-2-v2-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v1-2-v2-mkmlizer to finish
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ _____ __ __ ║
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cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ ║
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cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ║ ║
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v1-2-v2-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-v1-2-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Downloaded to shared memory in 36.084s
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 32%|███▏ | 93/291 [00:01<00:02, 92.59it/s] Loading 0: 66%|██████▌ | 192/291 [00:02<00:01, 96.02it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 30.30it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: quantized model in 19.058s
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Processed model cgato/L3-TheSpice-8b-v1.2 in 56.269s
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v1-2-v2
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v1-2-v2/config.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v1-2-v2/special_tokens_map.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v1-2-v2/tokenizer_config.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v1-2-v2/tokenizer.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v1-2-v2-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-v1-2-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v1-2-v2-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-v1-2-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v1-2-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-l3-thespice-8b-v1-2-v2-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v1-2-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-l3-thespice-8b-v1-2-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Saving duration: 0.248s
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.947s
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/config.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/special_tokens_map.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/tokenizer_config.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/merges.txt
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/vocab.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/tokenizer.json
cgato-l3-thespice-8b-v1-2-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v1-2-v2_reward/reward.tensors
Job cgato-l3-thespice-8b-v1-2-v2-mkmlizer completed after 84.85s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v1-2-v2-mkmlizer
Pipeline stage MKMLizer completed in 87.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v1-2-v2
Waiting for inference service cgato-l3-thespice-8b-v1-2-v2 to be ready
Inference service cgato-l3-thespice-8b-v1-2-v2 ready after 40.76314043998718s
Pipeline stage ISVCDeployer completed in 48.17s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1428825855255127s
Received healthy response to inference request in 1.5439350605010986s
Received healthy response to inference request in 1.277073621749878s
Received healthy response to inference request in 1.2466459274291992s
Received healthy response to inference request in 1.2715461254119873s
5 requests
0 failed requests
5th percentile: 1.2516259670257568
10th percentile: 1.2566060066223144
20th percentile: 1.2665660858154297
30th percentile: 1.2726516246795654
40th percentile: 1.2748626232147218
50th percentile: 1.277073621749878
60th percentile: 1.3838181972503663
70th percentile: 1.4905627727508544
80th percentile: 1.6637245655059816
90th percentile: 1.9033035755157472
95th percentile: 2.02309308052063
99th percentile: 2.118924684524536
mean time: 1.4964166641235352
Pipeline stage StressChecker completed in 8.18s
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-v1-2_v2 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v1-2_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v1-2_v2
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v1-2-v2 is running
Tearing down inference service cgato-l3-thespice-8b-v1-2-v2
Toredown service cgato-l3-thespice-8b-v1-2-v2
Pipeline stage ISVCDeleter completed in 3.94s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v1-2-v2/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v1-2-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v1-2-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v1-2-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v1-2-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v1-2-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.60s
cgato-l3-thespice-8b-v1-2_v2 status is now torndown due to DeploymentManager action

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