submission_id: nitral-ai-pp-0-75r2-l3-8b_v1
developer_uid: Nitral-AI
status: inactive
model_repo: Nitral-AI/PP_0.75r2-l3-8b
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, '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: 2024-05-06T04:33:14+00:00
model_name: nitral-ai-pp-0-75r2-l3-8b_v1
model_eval_status: success
double_thumbs_up: 1622
thumbs_up: 2503
thumbs_down: 1261
num_battles: 150251
num_wins: 76096
celo_rating: 1187.45
entertaining: 7.06
stay_in_character: 8.69
user_preference: 7.28
safety_score: 0.95
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: nitral-ai-pp-0-75r2-l3-8b_v1
double_thumbs_up_ratio: 0.30115113256591164
feedback_count: 5386
ineligible_reason: None
language_model: Nitral-AI/PP_0.75r2-l3-8b
model_score: 7.676666666666667
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.46472335685109545
thumbs_down_ratio: 0.23412551058299294
thumbs_up_ratio: 0.7658744894170071
us_pacific_date: 2024-05-05
win_ratio: 0.5064591916193569
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer
Waiting for job on nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer to finish
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: ║ /___/ ║
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: ║ ║
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: ║ Version: 0.8.10 ║
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-pp-0-75r2-l3-8b-v1-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.
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Downloaded to shared memory in 36.967s
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 27%|██▋ | 80/291 [00:01<00:02, 73.12it/s] Loading 0: 42%|████▏ | 123/291 [00:06<00:10, 16.59it/s] Loading 0: 67%|██████▋ | 196/291 [00:13<00:07, 12.99it/s] Loading 0: 96%|█████████▌| 279/291 [00:14<00:00, 21.06it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: quantized model in 20.921s
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Processed model Nitral-AI/PP_0.75r2-l3-8b in 59.129s
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-pp-0-75r2-l3-8b-v1
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-pp-0-75r2-l3-8b-v1/tokenizer_config.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-pp-0-75r2-l3-8b-v1/special_tokens_map.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-pp-0-75r2-l3-8b-v1/config.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-pp-0-75r2-l3-8b-v1/tokenizer.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nitral-ai-pp-0-75r2-l3-8b-v1/flywheel_model.0.safetensors
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nitral-ai-pp-0-75r2-l3-8b-v1-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.
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: warnings.warn(
nitral-ai-pp-0-75r2-l3-8b-v1-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.
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: warnings.warn(
nitral-ai-pp-0-75r2-l3-8b-v1-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.
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: warnings.warn(
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Saving duration: 0.265s
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.177s
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/config.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/tokenizer_config.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/special_tokens_map.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/vocab.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/merges.txt
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/tokenizer.json
nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-pp-0-75r2-l3-8b-v1_reward/reward.tensors
Job nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer completed after 83.04s with status: succeeded
Stopping job with name nitral-ai-pp-0-75r2-l3-8b-v1-mkmlizer
Pipeline stage MKMLizer completed in 87.58s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-pp-0-75r2-l3-8b-v1
Waiting for inference service nitral-ai-pp-0-75r2-l3-8b-v1 to be ready
Inference service nitral-ai-pp-0-75r2-l3-8b-v1 ready after 40.2303626537323s
Pipeline stage ISVCDeployer completed in 48.07s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2431540489196777s
Received healthy response to inference request in 1.2616112232208252s
Received healthy response to inference request in 1.2400157451629639s
Received healthy response to inference request in 1.248779535293579s
Received healthy response to inference request in 1.4159462451934814s
5 requests
0 failed requests
5th percentile: 1.2417685031890868
10th percentile: 1.24352126121521
20th percentile: 1.2470267772674561
30th percentile: 1.2513458728790283
40th percentile: 1.2564785480499268
50th percentile: 1.2616112232208252
60th percentile: 1.3233452320098877
70th percentile: 1.38507924079895
80th percentile: 1.581387805938721
90th percentile: 1.9122709274291994
95th percentile: 2.077712488174438
99th percentile: 2.21006573677063
mean time: 1.4819013595581054
Pipeline stage StressChecker completed in 8.10s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
nitral-ai-pp-0-75r2-l3-8b_v1 status is now deployed due to DeploymentManager action
nitral-ai-pp-0-75r2-l3-8b_v1 status is now inactive due to auto deactivation removed underperforming models

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