submission_id: cycy233-l3-fusion-v0-e2-0_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-fusion-v0-e2.0
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': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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: 2024-07-01T04:02:22+00:00
model_name: auto
model_group: cycy233/L3-fusion-v0-e2.
num_battles: 17105
num_wins: 8499
celo_rating: 1183.21
propriety_score: 0.7087791828793775
propriety_total_count: 8224.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: auto
ineligible_reason: None
language_model: cycy233/L3-fusion-v0-e2.0
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-30
win_ratio: 0.49687225957322423
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-fusion-v0-e2-0-v2-mkmlizer
Waiting for job on cycy233-l3-fusion-v0-e2-0-v2-mkmlizer to finish
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ _____ __ __ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ /___/ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ belonging to: ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ║ ║
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-fusion-v0-e2-0-v2-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-l3-fusion-v0-e2-0-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Downloaded to shared memory in 17.687s
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:02, 72.08it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 87.25it/s] Loading 0: 99%|█████████▊| 287/291 [00:02<00:00, 126.94it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: quantized model in 24.484s
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Processed model cycy233/L3-fusion-v0-e2.0 in 44.922s
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-fusion-v0-e2-0-v2
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-fusion-v0-e2-0-v2/config.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-fusion-v0-e2-0-v2/tokenizer_config.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-fusion-v0-e2-0-v2/special_tokens_map.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-fusion-v0-e2-0-v2/tokenizer.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-fusion-v0-e2-0-v2/flywheel_model.0.safetensors
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-fusion-v0-e2-0-v2-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-l3-fusion-v0-e2-0-v2-mkmlizer: warnings.warn(
cycy233-l3-fusion-v0-e2-0-v2-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-l3-fusion-v0-e2-0-v2-mkmlizer: warnings.warn(
cycy233-l3-fusion-v0-e2-0-v2-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-l3-fusion-v0-e2-0-v2-mkmlizer: warnings.warn(
cycy233-l3-fusion-v0-e2-0-v2-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-l3-fusion-v0-e2-0-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Saving duration: 0.420s
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.406s
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/config.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/special_tokens_map.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/merges.txt
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/tokenizer_config.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/vocab.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/tokenizer.json
cycy233-l3-fusion-v0-e2-0-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-fusion-v0-e2-0-v2_reward/reward.tensors
Job cycy233-l3-fusion-v0-e2-0-v2-mkmlizer completed after 73.75s with status: succeeded
Stopping job with name cycy233-l3-fusion-v0-e2-0-v2-mkmlizer
Pipeline stage MKMLizer completed in 74.83s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-fusion-v0-e2-0-v2
Waiting for inference service cycy233-l3-fusion-v0-e2-0-v2 to be ready
Inference service cycy233-l3-fusion-v0-e2-0-v2 ready after 50.221168518066406s
Pipeline stage ISVCDeployer completed in 57.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.22306227684021s
Received healthy response to inference request in 1.3917667865753174s
Received healthy response to inference request in 1.3355298042297363s
Received healthy response to inference request in 1.3065321445465088s
Received healthy response to inference request in 1.37261962890625s
5 requests
0 failed requests
5th percentile: 1.3123316764831543
10th percentile: 1.3181312084197998
20th percentile: 1.3297302722930908
30th percentile: 1.342947769165039
40th percentile: 1.3577836990356444
50th percentile: 1.37261962890625
60th percentile: 1.3802784919738769
70th percentile: 1.387937355041504
80th percentile: 1.5580258846282962
90th percentile: 1.890544080734253
95th percentile: 2.056803178787231
99th percentile: 2.189810457229614
mean time: 1.5259021282196046
Pipeline stage StressChecker completed in 8.32s
cycy233-l3-fusion-v0-e2-0_v2 status is now deployed due to DeploymentManager action
cycy233-l3-fusion-v0-e2-0_v2 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics