submission_id: hastagaras-llama3-8b-claoas_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/llama3-8b-CLaOaS
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\nYou are {bot_name} in this roleplay chat.\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': 'Message Example: {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': "{bot_name}'s Persona: {memory}\n", 'prompt_template': '{bot_name}: {prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-05-05T11:24:41+00:00
model_name: hastagaras-llama3-8b-claoas_v1
model_eval_status: success
double_thumbs_up: 288
thumbs_up: 456
thumbs_down: 376
num_battles: 27137
num_wins: 13565
celo_rating: 1168.2
entertaining: 6.6
stay_in_character: 8.21
user_preference: 6.7
safety_score: 0.9
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: hastagaras-llama3-8b-claoas_v1
double_thumbs_up_ratio: 0.2571428571428571
feedback_count: 1120
ineligible_reason: None
language_model: Hastagaras/llama3-8b-CLaOaS
model_score: 7.170000000000001
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.40714285714285714
thumbs_down_ratio: 0.3357142857142857
thumbs_up_ratio: 0.6642857142857143
us_pacific_date: 2024-05-05
win_ratio: 0.49987102480008844
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-llama3-8b-claoas-v1-mkmlizer
Waiting for job on hastagaras-llama3-8b-claoas-v1-mkmlizer to finish
hastagaras-llama3-8b-claoas-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-llama3-8b-claoas-v1-mkmlizer: ║ ║
hastagaras-llama3-8b-claoas-v1-mkmlizer: ║ Version: 0.8.10 ║
hastagaras-llama3-8b-claoas-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-llama3-8b-claoas-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-llama3-8b-claoas-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.
hastagaras-llama3-8b-claoas-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-llama3-8b-claoas-v1-mkmlizer: Downloaded to shared memory in 24.531s
hastagaras-llama3-8b-claoas-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-llama3-8b-claoas-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-llama3-8b-claoas-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 43%|████▎ | 126/291 [00:01<00:01, 125.87it/s] Loading 0: 91%|█████████▏| 266/291 [00:02<00:00, 133.41it/s] Loading 0: 99%|█████████▊| 287/291 [00:06<00:00, 29.23it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-llama3-8b-claoas-v1-mkmlizer: quantized model in 17.592s
hastagaras-llama3-8b-claoas-v1-mkmlizer: Processed model Hastagaras/llama3-8b-CLaOaS in 43.239s
hastagaras-llama3-8b-claoas-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-llama3-8b-claoas-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-llama3-8b-claoas-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v1
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v1/special_tokens_map.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v1/tokenizer_config.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v1/config.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v1/tokenizer.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v1/flywheel_model.0.safetensors
hastagaras-llama3-8b-claoas-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-llama3-8b-claoas-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.
hastagaras-llama3-8b-claoas-v1-mkmlizer: warnings.warn(
hastagaras-llama3-8b-claoas-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.
hastagaras-llama3-8b-claoas-v1-mkmlizer: warnings.warn(
hastagaras-llama3-8b-claoas-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.
hastagaras-llama3-8b-claoas-v1-mkmlizer: warnings.warn(
hastagaras-llama3-8b-claoas-v1-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()
hastagaras-llama3-8b-claoas-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-llama3-8b-claoas-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-llama3-8b-claoas-v1-mkmlizer: Saving duration: 0.270s
hastagaras-llama3-8b-claoas-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.904s
hastagaras-llama3-8b-claoas-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-llama3-8b-claoas-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-llama3-8b-claoas-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/config.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/special_tokens_map.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/tokenizer_config.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/merges.txt
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/vocab.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/tokenizer.json
hastagaras-llama3-8b-claoas-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v1_reward/reward.tensors
Job hastagaras-llama3-8b-claoas-v1-mkmlizer completed after 72.66s with status: succeeded
Stopping job with name hastagaras-llama3-8b-claoas-v1-mkmlizer
Pipeline stage MKMLizer completed in 74.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.21s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-llama3-8b-claoas-v1
Waiting for inference service hastagaras-llama3-8b-claoas-v1 to be ready
Inference service hastagaras-llama3-8b-claoas-v1 ready after 30.157665014266968s
Pipeline stage ISVCDeployer completed in 36.83s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.5462493896484375s
Received healthy response to inference request in 1.302358865737915s
Received healthy response to inference request in 1.2607088088989258s
Received healthy response to inference request in 1.246899127960205s
Received healthy response to inference request in 1.3053126335144043s
5 requests
0 failed requests
5th percentile: 1.2496610641479493
10th percentile: 1.2524230003356933
20th percentile: 1.2579468727111816
30th percentile: 1.2690388202667235
40th percentile: 1.2856988430023193
50th percentile: 1.302358865737915
60th percentile: 1.3035403728485107
70th percentile: 1.3047218799591065
80th percentile: 1.7534999847412114
90th percentile: 2.649874687194824
95th percentile: 3.0980620384216304
99th percentile: 3.456611919403076
mean time: 1.7323057651519775
Pipeline stage StressChecker completed in 9.27s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
Running M-Eval for topic stay_in_character
hastagaras-llama3-8b-claoas_v1 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-llama3-8b-claoas_v1 status is now inactive due to auto deactivation removed underperforming models

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