submission_id: nousresearch-meta-llama_4941_v48
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': 0.0, '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 long and in third perspective of the story teller. For example: \n<|start_header_id|>Mila<|end_header_id|>\n\n*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?<|eot_id|>\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: 2024-04-20T23:07:16+00:00
model_name: nousresearch-meta-llama_4941_v48
model_eval_status: success
model_group: NousResearch/Meta-Llama-
num_battles: 5578
num_wins: 3112
celo_rating: 1187.61
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_v48
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: 0.5579060595195411
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nousresearch-meta-llama-4941-v48-mkmlizer
Waiting for job on nousresearch-meta-llama-4941-v48-mkmlizer to finish
nousresearch-meta-llama-4941-v48-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nousresearch-meta-llama-4941-v48-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v48-mkmlizer: ║ Version: 0.8.10 ║
nousresearch-meta-llama-4941-v48-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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nousresearch-meta-llama-4941-v48-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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nousresearch-meta-llama-4941-v48-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4941-v48-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-v48-mkmlizer: warnings.warn(warning_message, FutureWarning)
nousresearch-meta-llama-4941-v48-mkmlizer: Downloaded to shared memory in 18.419s
nousresearch-meta-llama-4941-v48-mkmlizer: quantizing model to /dev/shm/model_cache
nousresearch-meta-llama-4941-v48-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-meta-llama-4941-v48-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 28%|██▊ | 81/291 [00:01<00:02, 80.96it/s] Loading 0: 44%|████▍ | 129/291 [00:02<00:02, 61.33it/s] Loading 0: 65%|██████▍ | 188/291 [00:03<00:01, 60.15it/s] Loading 0: 99%|█████████▊| 287/291 [00:10<00:00, 21.99it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nousresearch-meta-llama-4941-v48-mkmlizer: quantized model in 22.583s
nousresearch-meta-llama-4941-v48-mkmlizer: Processed model NousResearch/Meta-Llama-3-8B-Instruct in 42.646s
nousresearch-meta-llama-4941-v48-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4941-v48-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4941-v48-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v48
nousresearch-meta-llama-4941-v48-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v48/config.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v48/special_tokens_map.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v48/tokenizer_config.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v48/tokenizer.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v48/flywheel_model.0.safetensors
nousresearch-meta-llama-4941-v48-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
nousresearch-meta-llama-4941-v48-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-v48-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v48-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-v48-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v48-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-v48-mkmlizer: return self.fget.__get__(instance, owner)()
nousresearch-meta-llama-4941-v48-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nousresearch-meta-llama-4941-v48-mkmlizer: Saving duration: 0.293s
nousresearch-meta-llama-4941-v48-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.356s
nousresearch-meta-llama-4941-v48-mkmlizer: creating bucket guanaco-reward-models
nousresearch-meta-llama-4941-v48-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nousresearch-meta-llama-4941-v48-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/config.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/tokenizer_config.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/special_tokens_map.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/vocab.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/merges.txt
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/tokenizer.json
nousresearch-meta-llama-4941-v48-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nousresearch-meta-llama-4941-v48_reward/reward.tensors
Job nousresearch-meta-llama-4941-v48-mkmlizer completed after 63.39s with status: succeeded
Stopping job with name nousresearch-meta-llama-4941-v48-mkmlizer
Pipeline stage MKMLizer completed in 68.69s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service nousresearch-meta-llama-4941-v48
Waiting for inference service nousresearch-meta-llama-4941-v48 to be ready
Inference service nousresearch-meta-llama-4941-v48 ready after 30.194490671157837s
Pipeline stage ISVCDeployer completed in 37.92s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.968975782394409s
Received healthy response to inference request in 1.9910032749176025s
Received healthy response to inference request in 1.985490322113037s
Received healthy response to inference request in 2.0778493881225586s
Received healthy response to inference request in 2.3803484439849854s
5 requests
0 failed requests
5th percentile: 1.98659291267395
10th percentile: 1.9876955032348633
20th percentile: 1.9899006843566895
30th percentile: 2.008372497558594
40th percentile: 2.0431109428405763
50th percentile: 2.0778493881225586
60th percentile: 2.198849010467529
70th percentile: 2.3198486328125
80th percentile: 2.49807391166687
90th percentile: 2.7335248470306395
95th percentile: 2.8512503147125243
99th percentile: 2.9454306888580324
mean time: 2.2807334423065186
Pipeline stage StressChecker completed in 12.11s
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 0.03s
M-Eval Dataset for topic stay_in_character is loaded
nousresearch-meta-llama_4941_v48 status is now deployed due to DeploymentManager action
nousresearch-meta-llama_4941_v48 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nousresearch-meta-llama_4941_v48
Running pipeline stage ISVCDeleter
Checking if service nousresearch-meta-llama-4941-v48 is running
Tearing down inference service nousresearch-meta-llama-4941-v48
Toredown service nousresearch-meta-llama-4941-v48
Pipeline stage ISVCDeleter completed in 4.56s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v48/config.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v48/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v48/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v48/tokenizer.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v48/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v48_reward/config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v48_reward/merges.txt from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v48_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v48_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v48_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v48_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v48_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.26s
nousresearch-meta-llama_4941_v48 status is now torndown due to DeploymentManager action

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