submission_id: nousresearch-meta-llama_4941_v35
developer_uid: chai_backend_admin
status: torndown
model_repo: NousResearch/Meta-Llama-3-8B-Instruct
reward_repo: ChaiML/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': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
formatter: {'memory_template': '### Instruction:\n{memory}\n', 'prompt_template': '### Input:\n{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\n{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
timestamp: 2024-04-20T04:16:45+00:00
model_name: nousresearch-meta-llama-3-8b_v1
model_eval_status: success
model_group: NousResearch/Meta-Llama-
num_battles: 6432
num_wins: 3364
celo_rating: 1159.14
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: 512
max_output_tokens: 64
display_name: nousresearch-meta-llama-3-8b_v1
ineligible_reason: propriety_total_count < 800
language_model: NousResearch/Meta-Llama-3-8B-Instruct
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-04-19
win_ratio: 0.5230099502487562
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nousresearch-meta-llama-4941-v35-mkmlizer
Waiting for job on nousresearch-meta-llama-4941-v35-mkmlizer to finish
nousresearch-meta-llama-4941-v35-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nousresearch-meta-llama-4941-v35-mkmlizer: ║ _____ __ __ ║
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nousresearch-meta-llama-4941-v35-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ /___/ ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ Version: 0.8.10 ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ The license key for the current software has been verified as ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ belonging to: ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ Chai Research Corp. ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nousresearch-meta-llama-4941-v35-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v35-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4941-v35-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-v35-mkmlizer: warnings.warn(warning_message, FutureWarning)
nousresearch-meta-llama-4941-v35-mkmlizer: Processed model NousResearch/Meta-Llama-3-8B-Instruct in 40.876s
nousresearch-meta-llama-4941-v35-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4941-v35-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4941-v35-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v35
nousresearch-meta-llama-4941-v35-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v35/special_tokens_map.json
nousresearch-meta-llama-4941-v35-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v35/config.json
nousresearch-meta-llama-4941-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v35/tokenizer_config.json
nousresearch-meta-llama-4941-v35-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v35/tokenizer.json
nousresearch-meta-llama-4941-v35-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v35/flywheel_model.0.safetensors
nousresearch-meta-llama-4941-v35-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
nousresearch-meta-llama-4941-v35-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-v35-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v35-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-v35-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v35-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-v35-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v35-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-v35-mkmlizer: return self.fget.__get__(instance, owner)()
nousresearch-meta-llama-4941-v35-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
Job nousresearch-meta-llama-4941-v35-mkmlizer completed after 67.13s with status: succeeded
Stopping job with name nousresearch-meta-llama-4941-v35-mkmlizer
Pipeline stage MKMLizer completed in 68.15s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.26s
Running pipeline stage ISVCDeployer
Creating inference service nousresearch-meta-llama-4941-v35
Waiting for inference service nousresearch-meta-llama-4941-v35 to be ready
Inference service nousresearch-meta-llama-4941-v35 ready after 71.08304476737976s
Pipeline stage ISVCDeployer completed in 77.18s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.2053511142730713s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.3860290050506592s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.4301910400390625s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.4475021362304688s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.4099781513214111s
5 requests
0 failed requests
5th percentile: 1.3908188343048096
10th percentile: 1.39560866355896
20th percentile: 1.4051883220672607
30th percentile: 1.4140207290649414
40th percentile: 1.422105884552002
50th percentile: 1.4301910400390625
60th percentile: 1.437115478515625
70th percentile: 1.4440399169921876
80th percentile: 1.5990719318389894
90th percentile: 1.9022115230560304
95th percentile: 2.0537813186645506
99th percentile: 2.175037155151367
mean time: 1.5758102893829347
Pipeline stage StressChecker completed in 10.14s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.17s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.24s
%s, retrying in %s seconds...
%s, retrying in %s seconds...
nousresearch-meta-llama_4941_v35 status is now deployed due to DeploymentManager action
nousresearch-meta-llama_4941_v35 status is now inactive due to auto deactivation removed underperforming models
nousresearch-meta-llama_4941_v35 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nousresearch-meta-llama_4941_v35
Running pipeline stage ISVCDeleter
Checking if service nousresearch-meta-llama-4941-v35 is running
Tearing down inference service nousresearch-meta-llama-4941-v35
Toredown service nousresearch-meta-llama-4941-v35
Pipeline stage ISVCDeleter completed in 9.12s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v35/config.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v35/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v35/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v35/tokenizer.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v35/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v35_reward/config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v35_reward/merges.txt from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v35_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v35_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v35_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v35_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v35_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.50s
nousresearch-meta-llama_4941_v35 status is now torndown due to DeploymentManager action

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