submission_id: cycy233-misllm-v7-8-3_v3
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v7.8.3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, '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: 2024-06-17T04:06:43+00:00
model_name: cycy233-misllm-v7-8-3_v3
model_eval_status: success
model_group: cycy233/misllm_v7.8.3
num_battles: 29156
num_wins: 15128
celo_rating: 1194.57
propriety_score: 0.6906118221498854
propriety_total_count: 13517.0
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-v7-8-3_v3
ineligible_reason: None
language_model: cycy233/misllm_v7.8.3
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-16
win_ratio: 0.5188640417066813
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v7-8-3-v3-mkmlizer
Waiting for job on cycy233-misllm-v7-8-3-v3-mkmlizer to finish
cycy233-misllm-v7-8-3-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ _____ __ __ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ /___/ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ https://mk1.ai ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ belonging to: ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ║ ║
cycy233-misllm-v7-8-3-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v7-8-3-v3-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-v7-8-3-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
Retrying (%r) after connection broken by '%r': %s
cycy233-misllm-v7-8-3-v3-mkmlizer: Downloaded to shared memory in 15.571s
cycy233-misllm-v7-8-3-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v7-8-3-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v7-8-3-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 94.84it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 92.64it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 79.48it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v7-8-3-v3-mkmlizer: quantized model in 15.050s
cycy233-misllm-v7-8-3-v3-mkmlizer: Processed model cycy233/misllm_v7.8.3 in 32.826s
cycy233-misllm-v7-8-3-v3-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v7-8-3-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v7-8-3-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3/tokenizer_config.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3/config.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3/tokenizer.model
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3/tokenizer.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3/special_tokens_map.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v7-8-3-v3/flywheel_model.0.safetensors
cycy233-misllm-v7-8-3-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v7-8-3-v3-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-v7-8-3-v3-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-3-v3-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-v7-8-3-v3-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-3-v3-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-v7-8-3-v3-mkmlizer: warnings.warn(
cycy233-misllm-v7-8-3-v3-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-v7-8-3-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v7-8-3-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v7-8-3-v3-mkmlizer: Saving duration: 0.418s
cycy233-misllm-v7-8-3-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.483s
cycy233-misllm-v7-8-3-v3-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v7-8-3-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v7-8-3-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/config.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/merges.txt
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/special_tokens_map.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/tokenizer_config.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/tokenizer.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/vocab.json
cycy233-misllm-v7-8-3-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v7-8-3-v3_reward/reward.tensors
Job cycy233-misllm-v7-8-3-v3-mkmlizer completed after 62.8s with status: succeeded
Stopping job with name cycy233-misllm-v7-8-3-v3-mkmlizer
Pipeline stage MKMLizer completed in 66.50s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v7-8-3-v3
Waiting for inference service cycy233-misllm-v7-8-3-v3 to be ready
Inference service cycy233-misllm-v7-8-3-v3 ready after 60.39862132072449s
Pipeline stage ISVCDeployer completed in 67.61s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.151392936706543s
Received healthy response to inference request in 1.233243703842163s
Received healthy response to inference request in 1.2364208698272705s
Received healthy response to inference request in 1.2495198249816895s
Received healthy response to inference request in 1.0690999031066895s
5 requests
0 failed requests
5th percentile: 1.1019286632537841
10th percentile: 1.1347574234008788
20th percentile: 1.2004149436950684
30th percentile: 1.2338791370391846
40th percentile: 1.2351500034332275
50th percentile: 1.2364208698272705
60th percentile: 1.2416604518890382
70th percentile: 1.2469000339508056
80th percentile: 1.4298944473266604
90th percentile: 1.7906436920166016
95th percentile: 1.971018314361572
99th percentile: 2.115318012237549
mean time: 1.3879354476928711
Pipeline stage StressChecker completed in 7.63s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cycy233-misllm-v7-8-3_v3 status is now deployed due to DeploymentManager action
cycy233-misllm-v7-8-3_v3 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics