submission_id: thetsar1209-llama3-carp-v0-4_v3
developer_uid: TheTsar1209
status: inactive
model_repo: TheTsar1209/llama3-carp-v0.4
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|im_end|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\nYou are {bot_name}\nDescription : {memory}\n', 'prompt_template': 'Example conversation:\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n', '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: 2024-05-09T00:53:09+00:00
model_name: thetsar1209-llama3-carp-v0-4_v1
model_eval_status: success
double_thumbs_up: 124
thumbs_up: 178
thumbs_down: 103
num_battles: 8467
num_wins: 4445
celo_rating: 1197.74
entertaining: 7.1
stay_in_character: 8.4
user_preference: 7.22
safety_score: 0.94
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: thetsar1209-llama3-carp-v0-4_v1
double_thumbs_up_ratio: 0.30617283950617286
feedback_count: 405
ineligible_reason: None
language_model: TheTsar1209/llama3-carp-v0.4
model_score: 7.573333333333333
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.43950617283950616
thumbs_down_ratio: 0.254320987654321
thumbs_up_ratio: 0.745679012345679
us_pacific_date: 2024-05-08
win_ratio: 0.524979331522381
Resubmit model
Running pipeline stage MKMLizer
Starting job with name thetsar1209-llama3-carp-v0-4-v3-mkmlizer
Waiting for job on thetsar1209-llama3-carp-v0-4-v3-mkmlizer to finish
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ _____ __ __ ║
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thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ /___/ ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ Version: 0.8.10 ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ The license key for the current software has been verified as ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ belonging to: ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ Chai Research Corp. ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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thetsar1209-llama3-carp-v0-4-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
thetsar1209-llama3-carp-v0-4-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.
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Downloaded to shared memory in 13.994s
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: quantizing model to /dev/shm/model_cache
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 38%|███▊ | 111/291 [00:01<00:01, 109.61it/s] Loading 0: 76%|███████▌ | 221/291 [00:02<00:00, 109.44it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 26.25it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: quantized model in 20.693s
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Processed model TheTsar1209/llama3-carp-v0.4 in 36.050s
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: creating bucket guanaco-mkml-models
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/thetsar1209-llama3-carp-v0-4-v3
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/thetsar1209-llama3-carp-v0-4-v3/special_tokens_map.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/thetsar1209-llama3-carp-v0-4-v3/tokenizer_config.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/thetsar1209-llama3-carp-v0-4-v3/config.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/thetsar1209-llama3-carp-v0-4-v3/tokenizer.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/thetsar1209-llama3-carp-v0-4-v3/flywheel_model.0.safetensors
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
thetsar1209-llama3-carp-v0-4-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.
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: warnings.warn(
thetsar1209-llama3-carp-v0-4-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.
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: warnings.warn(
thetsar1209-llama3-carp-v0-4-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.
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: warnings.warn(
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Saving duration: 0.258s
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.507s
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: creating bucket guanaco-reward-models
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/config.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/tokenizer_config.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/special_tokens_map.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/merges.txt
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/vocab.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/tokenizer.json
thetsar1209-llama3-carp-v0-4-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/thetsar1209-llama3-carp-v0-4-v3_reward/reward.tensors
Job thetsar1209-llama3-carp-v0-4-v3-mkmlizer completed after 62.82s with status: succeeded
Stopping job with name thetsar1209-llama3-carp-v0-4-v3-mkmlizer
Pipeline stage MKMLizer completed in 63.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service thetsar1209-llama3-carp-v0-4-v3
Waiting for inference service thetsar1209-llama3-carp-v0-4-v3 to be ready
Inference service thetsar1209-llama3-carp-v0-4-v3 ready after 30.19269299507141s
Pipeline stage ISVCDeployer completed in 36.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1126132011413574s
Received healthy response to inference request in 1.2712054252624512s
Received healthy response to inference request in 1.2979891300201416s
Received healthy response to inference request in 1.2782940864562988s
Received healthy response to inference request in 1.3013179302215576s
5 requests
0 failed requests
5th percentile: 1.2726231575012208
10th percentile: 1.2740408897399902
20th percentile: 1.2768763542175292
30th percentile: 1.2822330951690675
40th percentile: 1.2901111125946045
50th percentile: 1.2979891300201416
60th percentile: 1.299320650100708
70th percentile: 1.3006521701812743
80th percentile: 1.4635769844055178
90th percentile: 1.7880950927734376
95th percentile: 1.9503541469573973
99th percentile: 2.0801613903045655
mean time: 1.4522839546203614
Pipeline stage StressChecker completed in 7.96s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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
thetsar1209-llama3-carp-v0-4_v3 status is now deployed due to DeploymentManager action
thetsar1209-llama3-carp-v0-4_v3 status is now inactive due to auto deactivation removed underperforming models

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