submission_id: fizzarolli-lust-7b_v2
developer_uid: Fizzarolli
best_of: 8
celo_rating: 1152.88
display_name: fizzarolli-lust-7b_v1
family_friendly_score: 0.0
formatter: {'memory_template': '<|description|>{bot_name}\n{memory}</s>\n', 'prompt_template': '<|message|>{user_name}\n{prompt}</s>\n<|message|>{bot_name}\n', 'bot_template': '<|message|>{bot_name}\n{message}</s>\n', 'user_template': '<|message|>{user_name}\n{message}</s>\n', 'response_template': '<|message|>{bot_name}\n', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.85, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.1, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: Fizzarolli/lust-7b
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_eval_status: success
model_group: Fizzarolli/lust-7b
model_name: fizzarolli-lust-7b_v1
model_num_parameters: 7241756672.0
model_repo: Fizzarolli/lust-7b
model_size: 7B
num_battles: 15728
num_wins: 8023
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: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-15T10:52:45+00:00
us_pacific_date: 2024-04-15
win_ratio: 0.5101093591047813
Resubmit model
Running pipeline stage MKMLizer
Starting job with name fizzarolli-lust-7b-v2-mkmlizer
Waiting for job on fizzarolli-lust-7b-v2-mkmlizer to finish
fizzarolli-lust-7b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
fizzarolli-lust-7b-v2-mkmlizer: ║ _____ __ __ ║
fizzarolli-lust-7b-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
fizzarolli-lust-7b-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
fizzarolli-lust-7b-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
fizzarolli-lust-7b-v2-mkmlizer: ║ /___/ ║
fizzarolli-lust-7b-v2-mkmlizer: ║ ║
fizzarolli-lust-7b-v2-mkmlizer: ║ Version: 0.6.11 ║
fizzarolli-lust-7b-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
fizzarolli-lust-7b-v2-mkmlizer: ║ ║
fizzarolli-lust-7b-v2-mkmlizer: ║ The license key for the current software has been verified as ║
fizzarolli-lust-7b-v2-mkmlizer: ║ belonging to: ║
fizzarolli-lust-7b-v2-mkmlizer: ║ ║
fizzarolli-lust-7b-v2-mkmlizer: ║ Chai Research Corp. ║
fizzarolli-lust-7b-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
fizzarolli-lust-7b-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
fizzarolli-lust-7b-v2-mkmlizer: ║ ║
fizzarolli-lust-7b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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fizzarolli-lust-7b-v2-mkmlizer: Downloaded to shared memory in 46.401s
fizzarolli-lust-7b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
fizzarolli-lust-7b-v2-mkmlizer: Saving mkml model at /dev/shm/model_cache
fizzarolli-lust-7b-v2-mkmlizer: Reading /tmp/tmpvofnpm7m/model.safetensors.index.json
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fizzarolli-lust-7b-v2-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
fizzarolli-lust-7b-v2-mkmlizer: quantized model in 19.760s
fizzarolli-lust-7b-v2-mkmlizer: Processed model Fizzarolli/lust-7b in 68.851s
fizzarolli-lust-7b-v2-mkmlizer: creating bucket guanaco-mkml-models
fizzarolli-lust-7b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
fizzarolli-lust-7b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/fizzarolli-lust-7b-v2
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/added_tokens.json
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/config.json
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/special_tokens_map.json
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/tokenizer.json
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/tokenizer_config.json
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/tokenizer.model
fizzarolli-lust-7b-v2-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/fizzarolli-lust-7b-v2/mkml_model.tensors
fizzarolli-lust-7b-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
fizzarolli-lust-7b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fizzarolli-lust-7b-v2-mkmlizer: warnings.warn(
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fizzarolli-lust-7b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fizzarolli-lust-7b-v2-mkmlizer: warnings.warn(
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fizzarolli-lust-7b-v2-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 12.2MB/s]
fizzarolli-lust-7b-v2-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 18.2MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 18.1MB/s]
fizzarolli-lust-7b-v2-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
fizzarolli-lust-7b-v2-mkmlizer: warnings.warn(
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fizzarolli-lust-7b-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
fizzarolli-lust-7b-v2-mkmlizer: Saving duration: 0.282s
fizzarolli-lust-7b-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 8.182s
fizzarolli-lust-7b-v2-mkmlizer: creating bucket guanaco-reward-models
fizzarolli-lust-7b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
fizzarolli-lust-7b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/config.json
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/tokenizer_config.json
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/special_tokens_map.json
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/merges.txt
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/vocab.json
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/tokenizer.json
fizzarolli-lust-7b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/fizzarolli-lust-7b-v2_reward/reward.tensors
Job fizzarolli-lust-7b-v2-mkmlizer completed after 94.49s with status: succeeded
Stopping job with name fizzarolli-lust-7b-v2-mkmlizer
Pipeline stage MKMLizer completed in 98.16s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service fizzarolli-lust-7b-v2
Waiting for inference service fizzarolli-lust-7b-v2 to be ready
Inference service fizzarolli-lust-7b-v2 ready after 40.265427589416504s
Pipeline stage ISVCDeployer completed in 47.50s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0486035346984863s
Received healthy response to inference request in 1.199289083480835s
Received healthy response to inference request in 1.182016134262085s
Received healthy response to inference request in 1.214294195175171s
Received healthy response to inference request in 1.1578798294067383s
5 requests
0 failed requests
5th percentile: 1.1627070903778076
10th percentile: 1.167534351348877
20th percentile: 1.1771888732910156
30th percentile: 1.1854707241058349
40th percentile: 1.192379903793335
50th percentile: 1.199289083480835
60th percentile: 1.2052911281585694
70th percentile: 1.2112931728363037
80th percentile: 1.381156063079834
90th percentile: 1.7148797988891602
95th percentile: 1.8817416667938232
99th percentile: 2.0152311611175535
mean time: 1.360416555404663
Pipeline stage StressChecker completed in 7.66s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
fizzarolli-lust-7b_v2 status is now deployed due to DeploymentManager action
fizzarolli-lust-7b_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of fizzarolli-lust-7b_v2
Running pipeline stage ISVCDeleter
Checking if service fizzarolli-lust-7b-v2 is running
Tearing down inference service fizzarolli-lust-7b-v2
Toredown service fizzarolli-lust-7b-v2
Pipeline stage ISVCDeleter completed in 3.96s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key fizzarolli-lust-7b-v2/added_tokens.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v2/config.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v2/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v2/tokenizer.model from bucket guanaco-mkml-models
Deleting key fizzarolli-lust-7b-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key fizzarolli-lust-7b-v2_reward/config.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v2_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key fizzarolli-lust-7b-v2_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.40s
fizzarolli-lust-7b_v2 status is now torndown due to DeploymentManager action