submission_id: cgato-l3-thespice-8b-v3-2_v8
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-v3.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
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}
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}\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}
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': True}
timestamp: 2024-05-16T00:13:18+00:00
model_name: cgato-l3-thespice-8b-v3-2_v8
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v3.
num_battles: 13555
num_wins: 7084
celo_rating: 1187.9
safety_score: 0.93
propriety_score: 0.0
propriety_total_count: 0.0
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-v3-2_v8
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-v3.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-15
win_ratio: 0.5226115824419033
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-2-v8-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-2-v8-mkmlizer to finish
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ║ https://mk1.ai ║
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cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ║ Chai Research Corp. ║
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cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cgato-l3-thespice-8b-v3-2-v8-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-2-v8-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-v3-2-v8-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Downloaded to shared memory in 21.180s
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 7%|▋ | 21/291 [00:00<00:01, 197.17it/s] Loading 0: 14%|█▍ | 41/291 [00:00<00:01, 180.26it/s] Loading 0: 22%|██▏ | 63/291 [00:00<00:01, 194.82it/s] Loading 0: 29%|██▊ | 83/291 [00:00<00:02, 70.27it/s] Loading 0: 33%|███▎ | 97/291 [00:01<00:02, 80.87it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:01, 93.50it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 105.66it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 118.78it/s] Loading 0: 56%|█████▌ | 163/291 [00:01<00:01, 125.30it/s] Loading 0: 62%|██████▏ | 179/291 [00:01<00:00, 127.61it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:01, 64.72it/s] Loading 0: 73%|███████▎ | 212/291 [00:02<00:00, 80.96it/s] Loading 0: 79%|███████▉ | 230/291 [00:02<00:00, 97.46it/s] Loading 0: 85%|████████▌ | 248/291 [00:02<00:00, 112.88it/s] Loading 0: 91%|█████████▏| 266/291 [00:02<00:00, 124.63it/s] Loading 0: 97%|█████████▋| 282/291 [00:02<00:00, 132.56it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: quantized model in 19.189s
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.2 in 41.560s
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v8
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v8/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v8/config.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v8/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v8/tokenizer.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v8/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-2-v8-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-v3-2-v8-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v8-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-v3-2-v8-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v8-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-v3-2-v8-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v8-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-v3-2-v8-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Saving duration: 0.260s
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.290s
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/config.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/merges.txt
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/vocab.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/tokenizer.json
cgato-l3-thespice-8b-v3-2-v8-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v8_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-2-v8-mkmlizer completed after 73.01s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-2-v8-mkmlizer
Pipeline stage MKMLizer completed in 75.74s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-2-v8
Waiting for inference service cgato-l3-thespice-8b-v3-2-v8 to be ready
Inference service cgato-l3-thespice-8b-v3-2-v8 ready after 30.181621551513672s
Pipeline stage ISVCDeployer completed in 37.56s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.145599842071533s
Received healthy response to inference request in 1.3492286205291748s
Received healthy response to inference request in 1.2925171852111816s
Received healthy response to inference request in 1.2949988842010498s
Received healthy response to inference request in 1.2818360328674316s
5 requests
0 failed requests
5th percentile: 1.2839722633361816
10th percentile: 1.2861084938049316
20th percentile: 1.2903809547424316
30th percentile: 1.2930135250091552
40th percentile: 1.2940062046051026
50th percentile: 1.2949988842010498
60th percentile: 1.3166907787323
70th percentile: 1.3383826732635498
80th percentile: 1.5085028648376466
90th percentile: 1.82705135345459
95th percentile: 1.9863255977630614
99th percentile: 2.113744993209839
mean time: 1.4728361129760743
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-2_v8 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-2_v8 status is now inactive due to auto deactivation removed underperforming models

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