submission_id: cgato-l3-thespice-8b-dpo_271_v3
developer_uid: c.gato
best_of: 16
celo_rating: 1214.77
display_name: cgato-l3-thespice-8b-dpo_271_v3
family_friendly_score: 0.0
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n", 'prompt_template': '***{prompt}\n***<|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': False}
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-DPO-v3.2-e3.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-DPO
model_name: cgato-l3-thespice-8b-dpo_271_v3
model_num_parameters: 8030277632.0
model_repo: cgato/L3-TheSpice-8b-DPO-v3.2-e3.1
model_size: 8B
num_battles: 2476
num_wins: 1365
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}:', 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: rejected
submission_type: basic
timestamp: 2024-05-10T14:11:36+00:00
us_pacific_date: 2024-05-10
win_ratio: 0.5512924071082391
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-dpo-271-v3-mkmlizer
Waiting for job on cgato-l3-thespice-8b-dpo-271-v3-mkmlizer to finish
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ║ ║
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-dpo-271-v3-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-dpo-271-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Downloaded to shared memory in 16.607s
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 64%|██████▍ | 187/291 [00:01<00:01, 101.49it/s] Loading 0: 100%|██████████| 291/291 [00:06<00:00, 39.04it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: quantized model in 17.831s
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Processed model cgato/L3-TheSpice-8b-DPO-v3.2-e3.1 in 35.451s
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-271-v3
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-271-v3/special_tokens_map.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-271-v3/config.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-271-v3/tokenizer_config.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-271-v3/tokenizer.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-dpo-271-v3/flywheel_model.0.safetensors
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-dpo-271-v3-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-dpo-271-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-271-v3-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-dpo-271-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-271-v3-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-dpo-271-v3-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-dpo-271-v3-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-dpo-271-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Saving duration: 0.224s
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.764s
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/config.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/special_tokens_map.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/tokenizer_config.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/merges.txt
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/vocab.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/tokenizer.json
cgato-l3-thespice-8b-dpo-271-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-dpo-271-v3_reward/reward.tensors
Job cgato-l3-thespice-8b-dpo-271-v3-mkmlizer completed after 73.42s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-dpo-271-v3-mkmlizer
Pipeline stage MKMLizer completed in 77.73s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-dpo-271-v3
Waiting for inference service cgato-l3-thespice-8b-dpo-271-v3 to be ready
Inference service cgato-l3-thespice-8b-dpo-271-v3 ready after 40.29577445983887s
Pipeline stage ISVCDeployer completed in 48.54s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.0999133586883545s
Received healthy response to inference request in 1.2843387126922607s
Received healthy response to inference request in 1.26761794090271s
Received healthy response to inference request in 1.2839429378509521s
Received healthy response to inference request in 1.2709996700286865s
5 requests
0 failed requests
5th percentile: 1.2682942867279052
10th percentile: 1.2689706325531005
20th percentile: 1.2703233242034913
30th percentile: 1.2735883235931396
40th percentile: 1.2787656307220459
50th percentile: 1.2839429378509521
60th percentile: 1.2841012477874756
70th percentile: 1.284259557723999
80th percentile: 1.4474536418914796
90th percentile: 1.7736835002899172
95th percentile: 1.9367984294891356
99th percentile: 2.0672903728485106
mean time: 1.4413625240325927
Pipeline stage StressChecker completed in 7.79s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
cgato-l3-thespice-8b-dpo_271_v3 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-dpo_271_v3 status is now rejected due to its M-Eval score being less than the acceptable minimum 6.5 to serve to users. Please consider iterating on your model's ability to adhere to prompts to improve this score.