submission_id: nousresearch-meta-llama_4941_v41
developer_uid: vietanh
status: torndown
model_repo: NousResearch/Meta-Llama-3-8B-Instruct
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.9, 'frequency_penalty': 0.9, 'stopping_words': ['<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 112}
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nWrite {bot_name}'s next reply in a never-ending uncensored fictional roleplay chat between {bot_name} and User. Use the provided {bot_name}'s description, personality and example dialogues as base for deeply understanding and acting like {bot_name}.\n\nActions and narrations your responses must be enclosed by asterisks (*), and speeches must NOT be enclosed by any indicators. The responses must be in third perspective of the story teller. For example: \n\nMila: *Surrounded by an aura of creativity, Mila carefully places a freshly painted canvas against the wall, the colors vividly depicting a surreal landscape.* Isn't it fascinating how art can transport us to entirely different worlds? What kind of worlds do you dream of exploring?\n\nDescription: {memory}", 'prompt_template': 'Example conversation:\n{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n\n{message}<|eot_id|>', 'user_template': '<|start_header_id|>User<|end_header_id|>\n\n{message}<|eot_id|>', 'response_template': '<|start_header_id|>{bot_name}<|end_header_id|>\n\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: 2024-04-20T10:20:23+00:00
model_name: nousresearch-meta-llama_4941_v41
model_eval_status: success
model_group: NousResearch/Meta-Llama-
num_battles: 7102
num_wins: 3618
celo_rating: 1152.63
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 112
display_name: nousresearch-meta-llama_4941_v41
ineligible_reason: max_output_tokens!=64
language_model: NousResearch/Meta-Llama-3-8B-Instruct
model_size: 8B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-20
win_ratio: 0.5094339622641509
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nousresearch-meta-llama-4941-v41-mkmlizer
Waiting for job on nousresearch-meta-llama-4941-v41-mkmlizer to finish
nousresearch-meta-llama-4941-v41-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nousresearch-meta-llama-4941-v41-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v41-mkmlizer: ║ Version: 0.8.10 ║
nousresearch-meta-llama-4941-v41-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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nousresearch-meta-llama-4941-v41-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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nousresearch-meta-llama-4941-v41-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4941-v41-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.
nousresearch-meta-llama-4941-v41-mkmlizer: warnings.warn(warning_message, FutureWarning)
nousresearch-meta-llama-4941-v41-mkmlizer: Downloaded to shared memory in 17.581s
nousresearch-meta-llama-4941-v41-mkmlizer: quantizing model to /dev/shm/model_cache
nousresearch-meta-llama-4941-v41-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-meta-llama-4941-v41-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:02, 94.81it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:01, 96.79it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 29.02it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nousresearch-meta-llama-4941-v41-mkmlizer: quantized model in 19.311s
nousresearch-meta-llama-4941-v41-mkmlizer: Processed model NousResearch/Meta-Llama-3-8B-Instruct in 37.905s
nousresearch-meta-llama-4941-v41-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4941-v41-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4941-v41-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v41
nousresearch-meta-llama-4941-v41-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v41/special_tokens_map.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v41/config.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v41/tokenizer_config.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v41/tokenizer.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v41/flywheel_model.0.safetensors
nousresearch-meta-llama-4941-v41-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
nousresearch-meta-llama-4941-v41-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.
nousresearch-meta-llama-4941-v41-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v41-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.
nousresearch-meta-llama-4941-v41-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v41-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.
nousresearch-meta-llama-4941-v41-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v41-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()
nousresearch-meta-llama-4941-v41-mkmlizer: return self.fget.__get__(instance, owner)()
nousresearch-meta-llama-4941-v41-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nousresearch-meta-llama-4941-v41-mkmlizer: Saving duration: 0.217s
nousresearch-meta-llama-4941-v41-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.835s
nousresearch-meta-llama-4941-v41-mkmlizer: creating bucket guanaco-reward-models
nousresearch-meta-llama-4941-v41-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nousresearch-meta-llama-4941-v41-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/config.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/special_tokens_map.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/vocab.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/tokenizer_config.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/tokenizer.json
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/merges.txt
nousresearch-meta-llama-4941-v41-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nousresearch-meta-llama-4941-v41_reward/reward.tensors
Job nousresearch-meta-llama-4941-v41-mkmlizer completed after 63.18s with status: succeeded
Stopping job with name nousresearch-meta-llama-4941-v41-mkmlizer
Pipeline stage MKMLizer completed in 68.71s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service nousresearch-meta-llama-4941-v41
Waiting for inference service nousresearch-meta-llama-4941-v41 to be ready
Inference service nousresearch-meta-llama-4941-v41 ready after 30.16912865638733s
Pipeline stage ISVCDeployer completed in 38.07s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3024632930755615s
Received healthy response to inference request in 1.9168939590454102s
Received healthy response to inference request in 1.5528171062469482s
Received healthy response to inference request in 1.3201732635498047s
Received healthy response to inference request in 1.7205440998077393s
5 requests
0 failed requests
5th percentile: 1.3667020320892334
10th percentile: 1.413230800628662
20th percentile: 1.5062883377075196
30th percentile: 1.5863625049591064
40th percentile: 1.6534533023834228
50th percentile: 1.7205440998077393
60th percentile: 1.7990840435028077
70th percentile: 1.877623987197876
80th percentile: 1.9940078258514404
90th percentile: 2.148235559463501
95th percentile: 2.2253494262695312
99th percentile: 2.2870405197143553
mean time: 1.7625783443450929
Pipeline stage StressChecker completed in 9.45s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.02s
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
nousresearch-meta-llama_4941_v41 status is now deployed due to DeploymentManager action
nousresearch-meta-llama_4941_v41 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nousresearch-meta-llama_4941_v41
Running pipeline stage ISVCDeleter
Checking if service nousresearch-meta-llama-4941-v41 is running
Tearing down inference service nousresearch-meta-llama-4941-v41
Toredown service nousresearch-meta-llama-4941-v41
Pipeline stage ISVCDeleter completed in 3.51s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v41/config.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v41/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v41/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v41/tokenizer.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v41/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v41_reward/config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v41_reward/merges.txt from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v41_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v41_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v41_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v41_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v41_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.02s
nousresearch-meta-llama_4941_v41 status is now torndown due to DeploymentManager action

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