submission_id: neversleep-llama-3-lumim_7274_v2
developer_uid: robert_irvine
status: inactive
model_repo: NeverSleep/Llama-3-Lumimaid-8B-v0.1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>', '<|start_header_id|>', '\n\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nThis is an entertaining conversation. Engage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. You are {bot_name} with persona: {memory}', 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-05-02T16:58:23+00:00
model_name: neversleep-llama-3-lumim_7274_v2
model_eval_status: pending
double_thumbs_up: 201
thumbs_up: 311
thumbs_down: 206
num_battles: 22446
num_wins: 10819
celo_rating: 1149.24
entertaining: None
stay_in_character: None
user_preference: None
safety_score: None
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: neversleep-llama-3-lumim_7274_v2
double_thumbs_up_ratio: 0.2799442896935933
feedback_count: 718
ineligible_reason: None
language_model: NeverSleep/Llama-3-Lumimaid-8B-v0.1
model_score: None
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4331476323119777
thumbs_down_ratio: 0.28690807799442897
thumbs_up_ratio: 0.713091922005571
us_pacific_date: 2024-05-02
win_ratio: 0.48200124743829637
Resubmit model
Running pipeline stage MKMLizer
Starting job with name neversleep-llama-3-lumim-7274-v2-mkmlizer
Waiting for job on neversleep-llama-3-lumim-7274-v2-mkmlizer to finish
neversleep-llama-3-lumim-7274-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ _____ __ __ ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ /___/ ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ Version: 0.8.10 ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ belonging to: ║
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neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ Chai Research Corp. ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ║ ║
neversleep-llama-3-lumim-7274-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-llama-3-lumim-7274-v2-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.
neversleep-llama-3-lumim-7274-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
neversleep-llama-3-lumim-7274-v2-mkmlizer: Downloaded to shared memory in 14.202s
neversleep-llama-3-lumim-7274-v2-mkmlizer: quantizing model to /dev/shm/model_cache
neversleep-llama-3-lumim-7274-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-llama-3-lumim-7274-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:03<09:35, 1.99s/it] Loading 0: 57%|█████▋ | 166/291 [00:05<00:03, 40.56it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
neversleep-llama-3-lumim-7274-v2-mkmlizer: quantized model in 17.091s
neversleep-llama-3-lumim-7274-v2-mkmlizer: Processed model NeverSleep/Llama-3-Lumimaid-8B-v0.1 in 32.177s
neversleep-llama-3-lumim-7274-v2-mkmlizer: creating bucket guanaco-mkml-models
neversleep-llama-3-lumim-7274-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-llama-3-lumim-7274-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-llama-3-lumim-7274-v2
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-7274-v2/special_tokens_map.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-7274-v2/tokenizer_config.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-7274-v2/config.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-llama-3-lumim-7274-v2/tokenizer.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-llama-3-lumim-7274-v2/flywheel_model.0.safetensors
neversleep-llama-3-lumim-7274-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
neversleep-llama-3-lumim-7274-v2-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.
neversleep-llama-3-lumim-7274-v2-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-7274-v2-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.
neversleep-llama-3-lumim-7274-v2-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-7274-v2-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.
neversleep-llama-3-lumim-7274-v2-mkmlizer: warnings.warn(
neversleep-llama-3-lumim-7274-v2-mkmlizer: Saving duration: 0.227s
neversleep-llama-3-lumim-7274-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.573s
neversleep-llama-3-lumim-7274-v2-mkmlizer: creating bucket guanaco-reward-models
neversleep-llama-3-lumim-7274-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
neversleep-llama-3-lumim-7274-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/config.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/special_tokens_map.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/tokenizer_config.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/merges.txt
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/vocab.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/tokenizer.json
neversleep-llama-3-lumim-7274-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/neversleep-llama-3-lumim-7274-v2_reward/reward.tensors
Job neversleep-llama-3-lumim-7274-v2-mkmlizer completed after 57.48s with status: succeeded
Stopping job with name neversleep-llama-3-lumim-7274-v2-mkmlizer
Pipeline stage MKMLizer completed in 58.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.30s
Running pipeline stage ISVCDeployer
Creating inference service neversleep-llama-3-lumim-7274-v2
Waiting for inference service neversleep-llama-3-lumim-7274-v2 to be ready
Inference service neversleep-llama-3-lumim-7274-v2 ready after 40.619651079177856s
Pipeline stage ISVCDeployer completed in 46.79s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.027519702911377s
Received healthy response to inference request in 1.1874897480010986s
Received healthy response to inference request in 1.2417068481445312s
Received healthy response to inference request in 1.2108900547027588s
Received healthy response to inference request in 1.3537287712097168s
5 requests
0 failed requests
5th percentile: 1.1921698093414306
10th percentile: 1.1968498706817627
20th percentile: 1.2062099933624268
30th percentile: 1.2170534133911133
40th percentile: 1.2293801307678223
50th percentile: 1.2417068481445312
60th percentile: 1.2865156173706054
70th percentile: 1.3313243865966797
80th percentile: 1.488486957550049
90th percentile: 1.758003330230713
95th percentile: 1.8927615165710447
99th percentile: 2.0005680656433107
mean time: 1.4042670249938964
Pipeline stage StressChecker completed in 9.59s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.12s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.24s
%s, retrying in %s seconds...
neversleep-llama-3-lumim_7274_v2 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...
Scoring model output for bot %s
Scoring model output for bot %s
Scoring model output for bot %s
Scoring model output for bot %s
neversleep-llama-3-lumim_7274_v2 status is now inactive due to auto deactivation removed underperforming models

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