submission_id: hastagaras-llama3-8b-claoas_v2
developer_uid: Hastagaras
status: torndown
model_repo: Hastagaras/llama3-8b-CLaOaS
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 1.05, '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 vivid and engaging roleplay.\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': 'Message Example:\n{bot_name}: {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: 2024-05-05T11:45:22+00:00
model_name: hastagaras-llama3-8b-claoas_v1
model_eval_status: success
model_group: Hastagaras/llama3-8b-CLa
num_battles: 16993
num_wins: 8307
celo_rating: 1161.41
propriety_score: 0.0
propriety_total_count: 0.0
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
ineligible_reason: propriety_total_count < 800
language_model: Hastagaras/llama3-8b-CLaOaS
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-05
win_ratio: 0.48884834932030835
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-llama3-8b-claoas-v2-mkmlizer
Waiting for job on hastagaras-llama3-8b-claoas-v2-mkmlizer to finish
Stopping job with name hastagaras-llama3-8b-claoas-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name hastagaras-llama3-8b-claoas-v2-mkmlizer
Waiting for job on hastagaras-llama3-8b-claoas-v2-mkmlizer to finish
hastagaras-llama3-8b-claoas-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-llama3-8b-claoas-v2-mkmlizer: ║ /___/ ║
hastagaras-llama3-8b-claoas-v2-mkmlizer: ║ ║
hastagaras-llama3-8b-claoas-v2-mkmlizer: ║ Version: 0.8.10 ║
hastagaras-llama3-8b-claoas-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-llama3-8b-claoas-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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hastagaras-llama3-8b-claoas-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-llama3-8b-claoas-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-llama3-8b-claoas-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-llama3-8b-claoas-v2-mkmlizer: Downloaded to shared memory in 14.841s
hastagaras-llama3-8b-claoas-v2-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-llama3-8b-claoas-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-llama3-8b-claoas-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 66.94it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 72.94it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 27.16it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-llama3-8b-claoas-v2-mkmlizer: quantized model in 20.656s
hastagaras-llama3-8b-claoas-v2-mkmlizer: Processed model Hastagaras/llama3-8b-CLaOaS in 36.786s
hastagaras-llama3-8b-claoas-v2-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-llama3-8b-claoas-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-llama3-8b-claoas-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v2
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v2/config.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v2/special_tokens_map.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v2/tokenizer_config.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v2/tokenizer.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-llama3-8b-claoas-v2/flywheel_model.0.safetensors
hastagaras-llama3-8b-claoas-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-llama3-8b-claoas-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-llama3-8b-claoas-v2-mkmlizer: warnings.warn(
hastagaras-llama3-8b-claoas-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-llama3-8b-claoas-v2-mkmlizer: warnings.warn(
hastagaras-llama3-8b-claoas-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-llama3-8b-claoas-v2-mkmlizer: warnings.warn(
hastagaras-llama3-8b-claoas-v2-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-v2-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-llama3-8b-claoas-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-llama3-8b-claoas-v2-mkmlizer: Saving duration: 0.282s
hastagaras-llama3-8b-claoas-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 19.157s
hastagaras-llama3-8b-claoas-v2-mkmlizer: creating bucket guanaco-reward-models
hastagaras-llama3-8b-claoas-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-llama3-8b-claoas-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/special_tokens_map.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/tokenizer_config.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/merges.txt
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/vocab.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/config.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/tokenizer.json
hastagaras-llama3-8b-claoas-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-llama3-8b-claoas-v2_reward/reward.tensors
Job hastagaras-llama3-8b-claoas-v2-mkmlizer completed after 83.07s with status: succeeded
Stopping job with name hastagaras-llama3-8b-claoas-v2-mkmlizer
Pipeline stage MKMLizer completed in 86.36s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-llama3-8b-claoas-v2
Waiting for inference service hastagaras-llama3-8b-claoas-v2 to be ready
Inference service hastagaras-llama3-8b-claoas-v2 ready after 40.36141061782837s
Pipeline stage ISVCDeployer completed in 47.22s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9575674533843994s
Received healthy response to inference request in 1.2259488105773926s
Received healthy response to inference request in 1.2381939888000488s
Received healthy response to inference request in 1.2388014793395996s
Received healthy response to inference request in 1.3095431327819824s
5 requests
0 failed requests
5th percentile: 1.2283978462219238
10th percentile: 1.230846881866455
20th percentile: 1.2357449531555176
30th percentile: 1.238315486907959
40th percentile: 1.2385584831237793
50th percentile: 1.2388014793395996
60th percentile: 1.2670981407165527
70th percentile: 1.2953948020935058
80th percentile: 1.4391479969024659
90th percentile: 1.6983577251434328
95th percentile: 1.827962589263916
99th percentile: 1.9316464805603026
mean time: 1.3940109729766845
Pipeline stage StressChecker completed in 7.59s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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
hastagaras-llama3-8b-claoas_v2 status is now deployed due to DeploymentManager action
hastagaras-llama3-8b-claoas_v2 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of hastagaras-llama3-8b-claoas_v2
Running pipeline stage ISVCDeleter
Checking if service hastagaras-llama3-8b-claoas-v2 is running
Tearing down inference service hastagaras-llama3-8b-claoas-v2
Toredown service hastagaras-llama3-8b-claoas-v2
Pipeline stage ISVCDeleter completed in 3.64s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key hastagaras-llama3-8b-claoas-v2/config.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-claoas-v2/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-claoas-v2/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-claoas-v2/tokenizer.json from bucket guanaco-mkml-models
Deleting key hastagaras-llama3-8b-claoas-v2/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key hastagaras-llama3-8b-claoas-v2_reward/config.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-claoas-v2_reward/merges.txt from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-claoas-v2_reward/reward.tensors from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-claoas-v2_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key hastagaras-llama3-8b-claoas-v2_reward/tokenizer.json from bucket guanaco-reward-models
admin requested tearing down of hastagaras-llama3-8b-meh_v2
Deleting key hastagaras-llama3-8b-claoas-v2_reward/tokenizer_config.json from bucket guanaco-reward-models
Running pipeline stage ISVCDeleter
Deleting key hastagaras-llama3-8b-claoas-v2_reward/vocab.json from bucket guanaco-reward-models
Checking if service hastagaras-llama3-8b-meh-v2 is running
Pipeline stage MKMLModelDeleter completed in 2.27s
hastagaras-llama3-8b-claoas_v2 status is now torndown due to DeploymentManager action

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