submission_id: cgato-l3-thespice-8b-v3-3_v5
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-v3.3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}<|im_end|>\n", 'prompt_template': '<|im_start|>system\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': 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: 2024-05-07T15:33:42+00:00
model_name: cgato-l3-thespice-8b-v3-3_v3
model_eval_status: success
double_thumbs_up: 154
thumbs_up: 252
thumbs_down: 112
num_battles: 17525
num_wins: 9044
celo_rating: 1182.25
entertaining: 6.8
stay_in_character: 8.17
user_preference: 7.28
safety_score: 0.92
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030277632.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-v3-3_v3
double_thumbs_up_ratio: 0.2972972972972973
feedback_count: 518
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v3.3
model_score: 7.416666666666667
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4864864864864865
thumbs_down_ratio: 0.21621621621621623
thumbs_up_ratio: 0.7837837837837838
us_pacific_date: 2024-05-07
win_ratio: 0.5160627674750357
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-3-v5-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-3-v5-mkmlizer to finish
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v3-3-v5-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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cgato-l3-thespice-8b-v3-3-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-3-v5-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-v3-3-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Downloaded to shared memory in 20.249s
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 46%|████▌ | 134/291 [00:01<00:01, 133.88it/s] Loading 0: 92%|█████████▏| 268/291 [00:02<00:00, 133.94it/s] Loading 0: 99%|█████████▊| 287/291 [00:06<00:00, 29.47it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: quantized model in 17.398s
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.3 in 38.719s
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v5
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v5/config.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v5/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v5/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v5/tokenizer.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-3-v5/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-3-v5-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-v3-3-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v5-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-v3-3-v5-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-3-v5-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-v3-3-v5-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Saving duration: 0.222s
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.198s
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/config.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/vocab.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/merges.txt
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/tokenizer.json
cgato-l3-thespice-8b-v3-3-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-3-v5_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-3-v5-mkmlizer completed after 63.33s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-3-v5-mkmlizer
Pipeline stage MKMLizer completed in 68.48s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-3-v5
Waiting for inference service cgato-l3-thespice-8b-v3-3-v5 to be ready
Inference service cgato-l3-thespice-8b-v3-3-v5 ready after 30.356057167053223s
Pipeline stage ISVCDeployer completed in 38.03s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.230010747909546s
Received healthy response to inference request in 1.2575900554656982s
Received healthy response to inference request in 1.2897186279296875s
Received healthy response to inference request in 1.32041597366333s
Received healthy response to inference request in 1.287567138671875s
5 requests
0 failed requests
5th percentile: 1.2635854721069335
10th percentile: 1.269580888748169
20th percentile: 1.2815717220306397
30th percentile: 1.2879974365234375
40th percentile: 1.2888580322265626
50th percentile: 1.2897186279296875
60th percentile: 1.3019975662231444
70th percentile: 1.3142765045166016
80th percentile: 1.5023349285125733
90th percentile: 1.8661728382110596
95th percentile: 2.0480917930603026
99th percentile: 2.1936269569396973
mean time: 1.4770605087280273
Pipeline stage StressChecker completed in 8.02s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-3_v5 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-3_v5 status is now inactive due to auto deactivation removed underperforming models

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