submission_id: megumi21-megumi-chat-lla_3450_v1
developer_uid: megumi_10073
status: inactive
model_repo: megumi21/Megumi-Chat-llama3-8b-v0.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.85, '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': "{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}
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: 2024-04-29T03:23:22+00:00
model_name: megumi-chat-llama3-8b-v2
model_eval_status: success
double_thumbs_up: 108
thumbs_up: 185
thumbs_down: 69
num_battles: 7483
num_wins: 3918
celo_rating: 1173.85
entertaining: 6.92
stay_in_character: 8.48
user_preference: 7.32
safety_score: None
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: megumi-chat-llama3-8b-v2
double_thumbs_up_ratio: 0.2983425414364641
feedback_count: 362
ineligible_reason: None
language_model: megumi21/Megumi-Chat-llama3-8b-v0.2
model_score: 7.573333333333333
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.511049723756906
thumbs_down_ratio: 0.19060773480662985
thumbs_up_ratio: 0.8093922651933702
us_pacific_date: 2024-04-28
win_ratio: 0.5235867967392757
Resubmit model
Running pipeline stage MKMLizer
Starting job with name megumi21-megumi-chat-lla-3450-v1-mkmlizer
Waiting for job on megumi21-megumi-chat-lla-3450-v1-mkmlizer to finish
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ _____ __ __ ║
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megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ /___/ ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ Version: 0.8.10 ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ The license key for the current software has been verified as ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ belonging to: ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ Chai Research Corp. ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ║ ║
megumi21-megumi-chat-lla-3450-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
megumi21-megumi-chat-lla-3450-v1-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.
megumi21-megumi-chat-lla-3450-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Downloaded to shared memory in 27.697s
megumi21-megumi-chat-lla-3450-v1-mkmlizer: quantizing model to /dev/shm/model_cache
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 64.23it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 76.99it/s] Loading 0: 100%|██████████| 291/291 [00:07<00:00, 31.60it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
megumi21-megumi-chat-lla-3450-v1-mkmlizer: quantized model in 21.478s
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Processed model megumi21/Megumi-Chat-llama3-8b-v0.2 in 50.328s
megumi21-megumi-chat-lla-3450-v1-mkmlizer: creating bucket guanaco-mkml-models
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
megumi21-megumi-chat-lla-3450-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/megumi21-megumi-chat-lla-3450-v1
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/megumi21-megumi-chat-lla-3450-v1/config.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/megumi21-megumi-chat-lla-3450-v1/tokenizer_config.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/megumi21-megumi-chat-lla-3450-v1/special_tokens_map.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/megumi21-megumi-chat-lla-3450-v1/tokenizer.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/megumi21-megumi-chat-lla-3450-v1/flywheel_model.0.safetensors
megumi21-megumi-chat-lla-3450-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
megumi21-megumi-chat-lla-3450-v1-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.
megumi21-megumi-chat-lla-3450-v1-mkmlizer: warnings.warn(
megumi21-megumi-chat-lla-3450-v1-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.
megumi21-megumi-chat-lla-3450-v1-mkmlizer: warnings.warn(
megumi21-megumi-chat-lla-3450-v1-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.
megumi21-megumi-chat-lla-3450-v1-mkmlizer: warnings.warn(
megumi21-megumi-chat-lla-3450-v1-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()
megumi21-megumi-chat-lla-3450-v1-mkmlizer: return self.fget.__get__(instance, owner)()
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Saving duration: 0.297s
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.605s
megumi21-megumi-chat-lla-3450-v1-mkmlizer: creating bucket guanaco-reward-models
megumi21-megumi-chat-lla-3450-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
megumi21-megumi-chat-lla-3450-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/special_tokens_map.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/merges.txt
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/tokenizer_config.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/config.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/vocab.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/tokenizer.json
megumi21-megumi-chat-lla-3450-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/megumi21-megumi-chat-lla-3450-v1_reward/reward.tensors
Job megumi21-megumi-chat-lla-3450-v1-mkmlizer completed after 73.06s with status: succeeded
Stopping job with name megumi21-megumi-chat-lla-3450-v1-mkmlizer
Pipeline stage MKMLizer completed in 77.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service megumi21-megumi-chat-lla-3450-v1
Waiting for inference service megumi21-megumi-chat-lla-3450-v1 to be ready
Inference service megumi21-megumi-chat-lla-3450-v1 ready after 30.15087890625s
Pipeline stage ISVCDeployer completed in 37.67s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.211979627609253s
Received healthy response to inference request in 1.249152660369873s
Received healthy response to inference request in 1.2583153247833252s
Received healthy response to inference request in 1.2735393047332764s
Received healthy response to inference request in 1.245224952697754s
5 requests
0 failed requests
5th percentile: 1.2460104942321777
10th percentile: 1.2467960357666015
20th percentile: 1.2483671188354493
30th percentile: 1.2509851932525635
40th percentile: 1.2546502590179442
50th percentile: 1.2583153247833252
60th percentile: 1.2644049167633056
70th percentile: 1.2704945087432862
80th percentile: 1.4612273693084719
90th percentile: 1.8366034984588624
95th percentile: 2.0242915630340574
99th percentile: 2.174442014694214
mean time: 1.4476423740386963
Pipeline stage StressChecker completed in 7.84s
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 0.04s
%s, retrying in %s seconds...
M-Eval Dataset for topic stay_in_character is loaded
megumi21-megumi-chat-lla_3450_v1 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...
megumi21-megumi-chat-lla_3450_v1 status is now inactive due to auto deactivation removed underperforming models

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