submission_id: v000000-l3-8b-poppy-moon_1166_v3
developer_uid: v000000
best_of: 16
display_name: v000000-l3-8b-poppy-moon_1166_v3
family_friendly_score: 0.0
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\nYou are an expert actor that can fully immerse yourself into any role given. You do not break character for any reason, even if someone tries addressing you as an AI or language model. Currently your role is {{bot_name}}, which is described in detail below. As {{bot_name}}, continue the exchange with {{user_name}}.\n{bot_name}'s personlity: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n{message}<|eot_id|>', 'user_template': '\n<|start_header_id|>{user_name}<|end_header_id|>\n{message}<|eot_id|>', 'response_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n', 'truncate_by_message': False}
generation_params: {'temperature': 1.13, 'top_p': 0.95, 'min_p': 0.08, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '<|end_of_text|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
ineligible_reason: model is not deployable
is_internal_developer: False
language_model: v000000/L3-8B-Poppy-Moonfall-C
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: error
model_group: v000000/L3-8B-Poppy-Moon
model_name: v000000-l3-8b-poppy-moon_1166_v3
model_num_parameters: 8030261248.0
model_repo: v000000/L3-8B-Poppy-Moonfall-C
model_size: 8B
num_battles: 31
num_wins: 21
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
status: rejected
submission_type: basic
timestamp: 2024-06-13T02:55:03+00:00
us_pacific_date: 2024-06-12
win_ratio: 0.6774193548387096
Resubmit model
Running pipeline stage MKMLizer
Starting job with name v000000-l3-8b-poppy-moon-1166-v3-mkmlizer
Waiting for job on v000000-l3-8b-poppy-moon-1166-v3-mkmlizer to finish
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ _____ __ __ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ /___/ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ Version: 0.8.14 ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ https://mk1.ai ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ The license key for the current software has been verified as ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ belonging to: ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ Chai Research Corp. ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ║ ║
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
v000000-l3-8b-poppy-moon-1166-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.
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Downloaded to shared memory in 23.634s
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: quantizing model to /dev/shm/model_cache
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<10:54, 2.27s/it] Loading 0: 5%|▌ | 15/291 [00:04<01:02, 4.40it/s] Loading 0: 11%|█▏ | 33/291 [00:04<00:22, 11.71it/s] Loading 0: 18%|█▊ | 51/291 [00:04<00:11, 21.09it/s] Loading 0: 22%|██▏ | 65/291 [00:05<00:08, 25.37it/s] Loading 0: 27%|██▋ | 78/291 [00:05<00:06, 33.93it/s] Loading 0: 33%|███▎ | 96/291 [00:05<00:03, 48.81it/s] Loading 0: 39%|███▉ | 113/291 [00:05<00:02, 64.47it/s] Loading 0: 45%|████▌ | 131/291 [00:05<00:01, 80.91it/s] Loading 0: 51%|█████ | 149/291 [00:05<00:01, 97.09it/s] Loading 0: 57%|█████▋ | 166/291 [00:06<00:01, 73.89it/s] Loading 0: 63%|██████▎ | 184/291 [00:06<00:01, 89.28it/s] Loading 0: 69%|██████▉ | 202/291 [00:06<00:00, 104.22it/s] Loading 0: 75%|███████▍ | 217/291 [00:06<00:00, 113.47it/s] Loading 0: 80%|███████▉ | 232/291 [00:06<00:00, 120.96it/s] Loading 0: 86%|████████▌ | 249/291 [00:06<00:00, 129.96it/s] Loading 0: 91%|█████████▏| 266/291 [00:06<00:00, 86.86it/s] Loading 0: 98%|█████████▊| 284/291 [00:07<00:00, 102.24it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: quantized model in 23.300s
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Processed model v000000/L3-8B-Poppy-Moonfall-C in 49.519s
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: creating bucket guanaco-mkml-models
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/v000000-l3-8b-poppy-moon-1166-v3
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-moon-1166-v3/tokenizer_config.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-moon-1166-v3/config.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-moon-1166-v3/special_tokens_map.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/v000000-l3-8b-poppy-moon-1166-v3/tokenizer.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/v000000-l3-8b-poppy-moon-1166-v3/flywheel_model.0.safetensors
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
v000000-l3-8b-poppy-moon-1166-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.
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: warnings.warn(
v000000-l3-8b-poppy-moon-1166-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.
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: warnings.warn(
v000000-l3-8b-poppy-moon-1166-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.
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: warnings.warn(
v000000-l3-8b-poppy-moon-1166-v3-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()
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: return self.fget.__get__(instance, owner)()
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Saving duration: 0.412s
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.757s
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: creating bucket guanaco-reward-models
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/config.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/tokenizer_config.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/special_tokens_map.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/vocab.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/merges.txt
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/tokenizer.json
v000000-l3-8b-poppy-moon-1166-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/v000000-l3-8b-poppy-moon-1166-v3_reward/reward.tensors
Job v000000-l3-8b-poppy-moon-1166-v3-mkmlizer completed after 86.25s with status: succeeded
Stopping job with name v000000-l3-8b-poppy-moon-1166-v3-mkmlizer
Pipeline stage MKMLizer completed in 89.66s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service v000000-l3-8b-poppy-moon-1166-v3
Waiting for inference service v000000-l3-8b-poppy-moon-1166-v3 to be ready
Inference service v000000-l3-8b-poppy-moon-1166-v3 ready after 30.186488151550293s
Pipeline stage ISVCDeployer completed in 37.14s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2737815380096436s
Received healthy response to inference request in 1.2979483604431152s
Received healthy response to inference request in 1.2781250476837158s
Received healthy response to inference request in 1.360020637512207s
Received healthy response to inference request in 1.3439161777496338s
5 requests
0 failed requests
5th percentile: 1.2820897102355957
10th percentile: 1.2860543727874756
20th percentile: 1.2939836978912354
30th percentile: 1.3071419239044189
40th percentile: 1.3255290508270263
50th percentile: 1.3439161777496338
60th percentile: 1.350357961654663
70th percentile: 1.3567997455596923
80th percentile: 1.5427728176116946
90th percentile: 1.908277177810669
95th percentile: 2.091029357910156
99th percentile: 2.237231101989746
mean time: 1.510758352279663
Pipeline stage StressChecker completed in 8.23s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
v000000-l3-8b-poppy-moon_1166_v3 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
v000000-l3-8b-poppy-moon_1166_v3 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.