submission_id: cycy233-misllm-v7-9-2_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.9.2
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': "{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: 2024-06-18T02:36:25+00:00
model_name: cycy233-misllm-v7-9-2_v1
model_group: cycy233/misllm_v7.9.2
num_battles: 12929
num_wins: 6468
celo_rating: 1186.48
propriety_score: 0.6869250985545335
propriety_total_count: 6088.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cycy233-misllm-v7-9-2_v1
ineligible_reason: None
language_model: cycy233/misllm_v7.9.2
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-17
win_ratio: 0.5002707092582567
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-9-2-v1-mkmlizer
Waiting for job on cycy233-misllm-v7-9-2-v1-mkmlizer to finish
cycy233-misllm-v7-9-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v7-9-2-v1-mkmlizer: ║ ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v7-9-2-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ║ ║
cycy233-misllm-v7-9-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-9-2-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.
cycy233-misllm-v7-9-2-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v7-9-2-v1-mkmlizer: Downloaded to shared memory in 46.913s
cycy233-misllm-v7-9-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-9-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-9-2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 68.07it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:01, 79.20it/s] Loading 0: 100%|██████████| 291/291 [00:04<00:00, 69.82it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-9-2-v1-mkmlizer: quantized model in 16.474s
cycy233-misllm-v7-9-2-v1-mkmlizer: Processed model cycy233/misllm_v7.9.2 in 65.676s
cycy233-misllm-v7-9-2-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-9-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-9-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1/config.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1/special_tokens_map.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1/tokenizer_config.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1/tokenizer.model
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1/tokenizer.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-9-2-v1/flywheel_model.0.safetensors
cycy233-misllm-v7-9-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-9-2-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.
cycy233-misllm-v7-9-2-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-9-2-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.
cycy233-misllm-v7-9-2-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-9-2-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.
cycy233-misllm-v7-9-2-v1-mkmlizer: warnings.warn(
cycy233-misllm-v7-9-2-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()
cycy233-misllm-v7-9-2-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-9-2-v1-mkmlizer: Saving duration: 0.455s
cycy233-misllm-v7-9-2-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 18.237s
cycy233-misllm-v7-9-2-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-9-2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-9-2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/config.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/tokenizer_config.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/special_tokens_map.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/vocab.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/merges.txt
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/tokenizer.json
cycy233-misllm-v7-9-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-9-2-v1_reward/reward.tensors
Job cycy233-misllm-v7-9-2-v1-mkmlizer completed after 114.54s with status: succeeded
Stopping job with name cycy233-misllm-v7-9-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 118.95s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-9-2-v1
Waiting for inference service cycy233-misllm-v7-9-2-v1 to be ready
Inference service cycy233-misllm-v7-9-2-v1 ready after 40.24492931365967s
Pipeline stage ISVCDeployer completed in 47.89s
Running pipeline stage StressChecker
Received healthy response to inference request in 14.626590013504028s
Received healthy response to inference request in 1.2508165836334229s
Received healthy response to inference request in 15.512124061584473s
Received healthy response to inference request in 1.1397209167480469s
Received healthy response to inference request in 1.2137935161590576s
5 requests
0 failed requests
5th percentile: 1.154535436630249
10th percentile: 1.1693499565124512
20th percentile: 1.1989789962768556
30th percentile: 1.2211981296539307
40th percentile: 1.2360073566436767
50th percentile: 1.2508165836334229
60th percentile: 6.601125955581664
70th percentile: 11.951435327529905
80th percentile: 14.803696823120116
90th percentile: 15.157910442352295
95th percentile: 15.335017251968384
99th percentile: 15.476702699661255
mean time: 6.748609018325806
%s, retrying in %s seconds...
Received healthy response to inference request in 1.227182149887085s
Received healthy response to inference request in 12.429948806762695s
Received healthy response to inference request in 1.2132062911987305s
Received healthy response to inference request in 1.222743272781372s
Received healthy response to inference request in 1.259075403213501s
5 requests
0 failed requests
5th percentile: 1.2151136875152588
10th percentile: 1.2170210838317872
20th percentile: 1.2208358764648437
30th percentile: 1.2236310482025146
40th percentile: 1.2254065990447998
50th percentile: 1.227182149887085
60th percentile: 1.2399394512176514
70th percentile: 1.2526967525482178
80th percentile: 3.493250083923342
90th percentile: 7.961599445343019
95th percentile: 10.195774126052854
99th percentile: 11.983113870620727
mean time: 3.470431184768677
Pipeline stage StressChecker completed in 52.43s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cycy233-misllm-v7-9-2_v1 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-9-2_v1 status is now inactive due to auto deactivation removed underperforming models

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