submission_id: nousresearch-meta-llama_4941_v46
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': 1.2, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 20, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<|eot_id|>', '\n'], 'max_input_tokens': 512, 'best_of': 16, '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: 2024-04-20T20:59:27+00:00
model_name: nousresearch-meta-llama_4941_v46
model_eval_status: success
model_group: NousResearch/Meta-Llama-
num_battles: 6055
num_wins: 3216
celo_rating: 1170.18
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: 112
display_name: nousresearch-meta-llama_4941_v46
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: 0.5311312964492155
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nousresearch-meta-llama-4941-v46-mkmlizer
Waiting for job on nousresearch-meta-llama-4941-v46-mkmlizer to finish
nousresearch-meta-llama-4941-v46-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nousresearch-meta-llama-4941-v46-mkmlizer: ║ /___/ ║
nousresearch-meta-llama-4941-v46-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v46-mkmlizer: ║ Version: 0.8.10 ║
nousresearch-meta-llama-4941-v46-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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nousresearch-meta-llama-4941-v46-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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nousresearch-meta-llama-4941-v46-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4941-v46-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-v46-mkmlizer: warnings.warn(warning_message, FutureWarning)
nousresearch-meta-llama-4941-v46-mkmlizer: Downloaded to shared memory in 24.024s
nousresearch-meta-llama-4941-v46-mkmlizer: quantizing model to /dev/shm/model_cache
nousresearch-meta-llama-4941-v46-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-meta-llama-4941-v46-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 76.78it/s] Loading 0: 59%|█████▉ | 173/291 [00:02<00:01, 83.05it/s] Loading 0: 79%|███████▊ | 229/291 [00:03<00:00, 70.81it/s] Loading 0: 99%|█████████▊| 287/291 [00:09<00:00, 21.60it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nousresearch-meta-llama-4941-v46-mkmlizer: quantized model in 21.531s
nousresearch-meta-llama-4941-v46-mkmlizer: Processed model NousResearch/Meta-Llama-3-8B-Instruct in 47.146s
nousresearch-meta-llama-4941-v46-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4941-v46-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4941-v46-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v46
nousresearch-meta-llama-4941-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v46/tokenizer_config.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v46/special_tokens_map.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v46/config.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v46/tokenizer.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v46/flywheel_model.0.safetensors
nousresearch-meta-llama-4941-v46-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
nousresearch-meta-llama-4941-v46-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-v46-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v46-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-v46-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v46-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-v46-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v46-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-v46-mkmlizer: return self.fget.__get__(instance, owner)()
nousresearch-meta-llama-4941-v46-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nousresearch-meta-llama-4941-v46-mkmlizer: Saving duration: 0.264s
nousresearch-meta-llama-4941-v46-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 5.736s
nousresearch-meta-llama-4941-v46-mkmlizer: creating bucket guanaco-reward-models
nousresearch-meta-llama-4941-v46-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nousresearch-meta-llama-4941-v46-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/config.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/tokenizer_config.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/special_tokens_map.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/vocab.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/merges.txt
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/tokenizer.json
nousresearch-meta-llama-4941-v46-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nousresearch-meta-llama-4941-v46_reward/reward.tensors
Job nousresearch-meta-llama-4941-v46-mkmlizer completed after 74.36s with status: succeeded
Stopping job with name nousresearch-meta-llama-4941-v46-mkmlizer
Pipeline stage MKMLizer completed in 78.78s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nousresearch-meta-llama-4941-v46
Waiting for inference service nousresearch-meta-llama-4941-v46 to be ready
Inference service nousresearch-meta-llama-4941-v46 ready after 30.236598253250122s
Pipeline stage ISVCDeployer completed in 38.00s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.9096028804779053s
Received healthy response to inference request in 1.9789397716522217s
Received healthy response to inference request in 1.9463257789611816s
Received healthy response to inference request in 1.936171293258667s
Received healthy response to inference request in 2.021333932876587s
5 requests
0 failed requests
5th percentile: 1.93820219039917
10th percentile: 1.940233087539673
20th percentile: 1.9442948818206787
30th percentile: 1.9528485774993896
40th percentile: 1.9658941745758056
50th percentile: 1.9789397716522217
60th percentile: 1.9958974361419677
70th percentile: 2.0128551006317137
80th percentile: 2.1989877223968506
90th percentile: 2.554295301437378
95th percentile: 2.7319490909576416
99th percentile: 2.8740721225738524
mean time: 2.1584747314453123
Pipeline stage StressChecker completed in 11.43s
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
nousresearch-meta-llama_4941_v46 status is now deployed due to DeploymentManager action
M-Eval Dataset for topic stay_in_character is loaded
nousresearch-meta-llama_4941_v46 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nousresearch-meta-llama_4941_v46
Running pipeline stage ISVCDeleter
Checking if service nousresearch-meta-llama-4941-v46 is running
Tearing down inference service nousresearch-meta-llama-4941-v46
Toredown service nousresearch-meta-llama-4941-v46
Pipeline stage ISVCDeleter completed in 3.79s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v46/config.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v46/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v46/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v46/tokenizer.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v46/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v46_reward/config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v46_reward/merges.txt from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v46_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v46_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v46_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v46_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v46_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.44s
nousresearch-meta-llama_4941_v46 status is now torndown due to DeploymentManager action

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