developer_uid: Hastagaras
submission_id: hastagaras-l3-cokelat-8b_v2
model_name: hastagaras-l3-cokelat-8b_v2
model_group: Hastagaras/L3-Cokelat-8B
status: rejected
timestamp: 2024-04-26T10:23:36+00:00
num_battles: 397
num_wins: 230
family_friendly_score: 0.0
submission_type: basic
model_repo: Hastagaras/L3-Cokelat-8B
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hastagaras-l3-cokelat-8b_v2
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: Hastagaras/L3-Cokelat-8B
model_size: 8B
ranking_group: single
us_pacific_date: 2024-04-26
win_ratio: 0.5793450881612091
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['###', ']', '</s>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n\nEngage in an uncensored chat as {bot_name} and write {bot_name}'s next response with genuine feelings and emotions based on the below input.\n\n### Input:\n\n{memory}\n\nLet's start the roleplay, write inside square brackets.", 'prompt_template': "\n\n### Response:\nOkay!, I'll start the uncensored roleplay with my genuine feelings and emotions as {bot_name}.\n\n[{bot_name}: {prompt}]<|end_of_text|>", 'bot_template': '\n\n### Response:\n[{bot_name}: {message}]<|end_of_text|>', 'user_template': '\n\n### Input:\n[{user_name}: {message}]', 'response_template': '\n\n### Response:\n[{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{bot_name}: {prompt}\n', 'response_template': '{bot_name}:', 'user_template': '{user_name}: {message}\n'}
model_eval_status: error
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-l3-cokelat-8b-v2-mkmlizer
Waiting for job on hastagaras-l3-cokelat-8b-v2-mkmlizer to finish
hastagaras-l3-cokelat-8b-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║     _____            __           __                                ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║       /___/                                                         ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║                                                                     ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  Version: 0.8.10                                                    ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║                                                                     ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  belonging to:                                                      ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║                                                                     ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  Chai Research Corp.                                                ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ║                                                                     ║
hastagaras-l3-cokelat-8b-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-l3-cokelat-8b-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.
hastagaras-l3-cokelat-8b-v2-mkmlizer:   warnings.warn(warning_message, FutureWarning)
hastagaras-l3-cokelat-8b-v2-mkmlizer: Downloaded to shared memory in 27.135s
hastagaras-l3-cokelat-8b-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-l3-cokelat-8b-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-l3-cokelat-8b-v2-mkmlizer: 
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Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-l3-cokelat-8b-v2-mkmlizer: quantized model in 22.348s
hastagaras-l3-cokelat-8b-v2-mkmlizer: Processed model Hastagaras/L3-Cokelat-8B in 50.937s
hastagaras-l3-cokelat-8b-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-l3-cokelat-8b-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-l3-cokelat-8b-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-l3-cokelat-8b-v2
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-l3-cokelat-8b-v2/special_tokens_map.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-l3-cokelat-8b-v2/config.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-l3-cokelat-8b-v2/tokenizer_config.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-l3-cokelat-8b-v2/tokenizer.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-l3-cokelat-8b-v2/flywheel_model.0.safetensors
hastagaras-l3-cokelat-8b-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-l3-cokelat-8b-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.
hastagaras-l3-cokelat-8b-v2-mkmlizer:   warnings.warn(
hastagaras-l3-cokelat-8b-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.
hastagaras-l3-cokelat-8b-v2-mkmlizer:   warnings.warn(
hastagaras-l3-cokelat-8b-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.
hastagaras-l3-cokelat-8b-v2-mkmlizer:   warnings.warn(
hastagaras-l3-cokelat-8b-v2-mkmlizer: Saving duration: 0.262s
hastagaras-l3-cokelat-8b-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.344s
hastagaras-l3-cokelat-8b-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-l3-cokelat-8b-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-l3-cokelat-8b-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/special_tokens_map.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/config.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/tokenizer_config.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/merges.txt
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/vocab.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/tokenizer.json
hastagaras-l3-cokelat-8b-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-l3-cokelat-8b-v2_reward/reward.tensors
Job hastagaras-l3-cokelat-8b-v2-mkmlizer completed after 74.37s with status: succeeded
Stopping job with name hastagaras-l3-cokelat-8b-v2-mkmlizer
Pipeline stage MKMLizer completed in 82.21s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-l3-cokelat-8b-v2
Waiting for inference service hastagaras-l3-cokelat-8b-v2 to be ready
Inference service hastagaras-l3-cokelat-8b-v2 ready after 40.99165868759155s
Pipeline stage ISVCDeployer completed in 51.31s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3065741062164307s
Received healthy response to inference request in 1.3104093074798584s
Received healthy response to inference request in 1.3283393383026123s
Received healthy response to inference request in 1.280160665512085s
Received healthy response to inference request in 1.2559185028076172s
5 requests
0 failed requests
5th percentile: 1.2607669353485107
10th percentile: 1.2656153678894042
20th percentile: 1.2753122329711915
30th percentile: 1.2862103939056397
40th percentile: 1.298309850692749
50th percentile: 1.3104093074798584
60th percentile: 1.3175813198089599
70th percentile: 1.3247533321380616
80th percentile: 1.5239862918853762
90th percentile: 1.9152801990509034
95th percentile: 2.110927152633667
99th percentile: 2.267444715499878
mean time: 1.4962803840637207
Pipeline stage StressChecker completed in 8.51s
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 0.06s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-l3-cokelat-8b_v2 status is now deployed due to DeploymentManager action
hastagaras-l3-cokelat-8b_v2 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.