submission_id: nousresearch-meta-llama_4941_v40
developer_uid: chaiverse_console_tests
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': 16, '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: 2024-04-20T10:00:55+00:00
model_name: nousresearch-meta-llama-3-8b_v1
model_eval_status: success
model_group: NousResearch/Meta-Llama-
num_battles: 5632
num_wins: 3022
celo_rating: 1169.78
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: 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: 2024-04-20
win_ratio: 0.5365767045454546
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nousresearch-meta-llama-4941-v40-mkmlizer
Waiting for job on nousresearch-meta-llama-4941-v40-mkmlizer to finish
nousresearch-meta-llama-4941-v40-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nousresearch-meta-llama-4941-v40-mkmlizer: ║ /___/ ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ Version: 0.8.10 ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ The license key for the current software has been verified as ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ belonging to: ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ Chai Research Corp. ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
nousresearch-meta-llama-4941-v40-mkmlizer: ║ ║
nousresearch-meta-llama-4941-v40-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nousresearch-meta-llama-4941-v40-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-v40-mkmlizer: warnings.warn(warning_message, FutureWarning)
nousresearch-meta-llama-4941-v40-mkmlizer: Downloaded to shared memory in 13.447s
nousresearch-meta-llama-4941-v40-mkmlizer: quantizing model to /dev/shm/model_cache
nousresearch-meta-llama-4941-v40-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nousresearch-meta-llama-4941-v40-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 33%|███▎ | 95/291 [00:01<00:02, 94.57it/s] Loading 0: 69%|██████▉ | 201/291 [00:02<00:00, 100.86it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 30.37it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
nousresearch-meta-llama-4941-v40-mkmlizer: quantized model in 18.263s
nousresearch-meta-llama-4941-v40-mkmlizer: Processed model NousResearch/Meta-Llama-3-8B-Instruct in 32.685s
nousresearch-meta-llama-4941-v40-mkmlizer: creating bucket guanaco-mkml-models
nousresearch-meta-llama-4941-v40-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nousresearch-meta-llama-4941-v40-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v40
nousresearch-meta-llama-4941-v40-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v40/special_tokens_map.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v40/tokenizer_config.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v40/config.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v40/tokenizer.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nousresearch-meta-llama-4941-v40/flywheel_model.0.safetensors
nousresearch-meta-llama-4941-v40-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-v40-mkmlizer: warnings.warn(
nousresearch-meta-llama-4941-v40-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-v40-mkmlizer: return self.fget.__get__(instance, owner)()
nousresearch-meta-llama-4941-v40-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nousresearch-meta-llama-4941-v40-mkmlizer: Saving duration: 0.220s
nousresearch-meta-llama-4941-v40-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.540s
nousresearch-meta-llama-4941-v40-mkmlizer: creating bucket guanaco-reward-models
nousresearch-meta-llama-4941-v40-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nousresearch-meta-llama-4941-v40-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/config.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/tokenizer_config.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/merges.txt
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/special_tokens_map.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/tokenizer.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/vocab.json
nousresearch-meta-llama-4941-v40-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nousresearch-meta-llama-4941-v40_reward/reward.tensors
Job nousresearch-meta-llama-4941-v40-mkmlizer completed after 53.73s with status: succeeded
Stopping job with name nousresearch-meta-llama-4941-v40-mkmlizer
Pipeline stage MKMLizer completed in 58.39s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service nousresearch-meta-llama-4941-v40
Waiting for inference service nousresearch-meta-llama-4941-v40 to be ready
Inference service nousresearch-meta-llama-4941-v40 ready after 30.323858737945557s
Pipeline stage ISVCDeployer completed in 38.30s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.071207046508789s
Received healthy response to inference request in 1.2754638195037842s
Received healthy response to inference request in 1.26690673828125s
Received healthy response to inference request in 1.25473952293396s
Received healthy response to inference request in 1.269028663635254s
5 requests
0 failed requests
5th percentile: 1.2571729660034179
10th percentile: 1.259606409072876
20th percentile: 1.264473295211792
30th percentile: 1.2673311233520508
40th percentile: 1.2681798934936523
50th percentile: 1.269028663635254
60th percentile: 1.271602725982666
70th percentile: 1.274176788330078
80th percentile: 1.4346124649047853
90th percentile: 1.7529097557067872
95th percentile: 1.912058401107788
99th percentile: 2.0393773174285887
mean time: 1.4274691581726073
Pipeline stage StressChecker completed in 7.78s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.05s
M-Eval Dataset for topic stay_in_character is loaded
nousresearch-meta-llama_4941_v40 status is now deployed due to DeploymentManager action
nousresearch-meta-llama_4941_v40 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of nousresearch-meta-llama_4941_v40
Running pipeline stage ISVCDeleter
Checking if service nousresearch-meta-llama-4941-v40 is running
Tearing down inference service nousresearch-meta-llama-4941-v40
Toredown service nousresearch-meta-llama-4941-v40
Pipeline stage ISVCDeleter completed in 3.58s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v40/config.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v40/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v40/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v40/tokenizer.json from bucket guanaco-mkml-models
Deleting key nousresearch-meta-llama-4941-v40/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key nousresearch-meta-llama-4941-v40_reward/config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v40_reward/merges.txt from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v40_reward/reward.tensors from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v40_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v40_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v40_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key nousresearch-meta-llama-4941-v40_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.83s
nousresearch-meta-llama_4941_v40 status is now torndown due to DeploymentManager action

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