submission_id: cycy233-l3-klee-v1-e3-0_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-klee-v1-e3.0
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: 2024-07-01T03:01:58+00:00
model_name: auto
model_group: cycy233/L3-klee-v1-e3.0
num_battles: 16123
num_wins: 8124
celo_rating: 1188.11
propriety_score: 0.7066131745826323
propriety_total_count: 7727.0
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-klee-v1-e3.0
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-30
win_ratio: 0.5038764497922222
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-klee-v1-e3-0-v1-mkmlizer
Waiting for job on cycy233-l3-klee-v1-e3-0-v1-mkmlizer to finish
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ _____ __ __ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ /___/ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ https://mk1.ai ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ belonging to: ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ║ ║
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-klee-v1-e3-0-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-l3-klee-v1-e3-0-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Downloaded to shared memory in 43.574s
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 64.41it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 74.21it/s] Loading 0: 99%|█████████▊| 287/291 [00:03<00:00, 106.18it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: quantized model in 24.696s
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Processed model cycy233/L3-klee-v1-e3.0 in 70.962s
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-klee-v1-e3-0-v1
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-klee-v1-e3-0-v1/special_tokens_map.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-klee-v1-e3-0-v1/config.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-klee-v1-e3-0-v1/tokenizer_config.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-klee-v1-e3-0-v1/tokenizer.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-klee-v1-e3-0-v1/flywheel_model.0.safetensors
cycy233-l3-klee-v1-e3-0-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-l3-klee-v1-e3-0-v1-mkmlizer: warnings.warn(
cycy233-l3-klee-v1-e3-0-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-l3-klee-v1-e3-0-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Saving duration: 0.948s
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 11.444s
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/special_tokens_map.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/tokenizer_config.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/config.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/merges.txt
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/tokenizer.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/vocab.json
cycy233-l3-klee-v1-e3-0-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-klee-v1-e3-0-v1_reward/reward.tensors
Job cycy233-l3-klee-v1-e3-0-v1-mkmlizer completed after 103.74s with status: succeeded
Stopping job with name cycy233-l3-klee-v1-e3-0-v1-mkmlizer
Pipeline stage MKMLizer completed in 104.49s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-klee-v1-e3-0-v1
Waiting for inference service cycy233-l3-klee-v1-e3-0-v1 to be ready
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Inference service cycy233-l3-klee-v1-e3-0-v1 ready after 60.312845945358276s
Pipeline stage ISVCDeployer completed in 66.85s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.205282211303711s
Received healthy response to inference request in 1.3897266387939453s
Received healthy response to inference request in 1.3519549369812012s
Received healthy response to inference request in 1.3163352012634277s
Received healthy response to inference request in 1.408783197402954s
5 requests
0 failed requests
5th percentile: 1.3234591484069824
10th percentile: 1.330583095550537
20th percentile: 1.3448309898376465
30th percentile: 1.35950927734375
40th percentile: 1.3746179580688476
50th percentile: 1.3897266387939453
60th percentile: 1.3973492622375487
70th percentile: 1.4049718856811524
80th percentile: 1.5680830001831056
90th percentile: 1.8866826057434083
95th percentile: 2.0459824085235594
99th percentile: 2.173422250747681
mean time: 1.5344164371490479
Pipeline stage StressChecker completed in 8.37s
cycy233-l3-klee-v1-e3-0_v1 status is now deployed due to DeploymentManager action
cycy233-l3-klee-v1-e3-0_v1 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics