submission_id: cycy233-l3-klee-v2-e2-5_v1
developer_uid: shiroe40
status: inactive
model_repo: cycy233/L3-klee-v2-e2.5
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: 2024-07-02T02:23:24+00:00
model_name: auto
model_group: cycy233/L3-klee-v2-e2.5
num_battles: 10788
num_wins: 5527
celo_rating: 1185.18
propriety_score: 0.7013600302228938
propriety_total_count: 5294.0
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-v2-e2.5
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-01
win_ratio: 0.5123285131627735
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-l3-klee-v2-e2-5-v1-mkmlizer
Waiting for job on cycy233-l3-klee-v2-e2-5-v1-mkmlizer to finish
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ _____ __ __ ║
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cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ /___/ ║
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ ║
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ Version: 0.8.14 ║
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ https://mk1.ai ║
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cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ Chai Research Corp. ║
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-l3-klee-v2-e2-5-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Downloaded to shared memory in 40.142s
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 29%|██▊ | 83/291 [00:01<00:03, 60.55it/s] Loading 0: 64%|██████▍ | 187/291 [00:02<00:01, 72.10it/s] Loading 0: 99%|█████████▊| 287/291 [00:03<00:00, 104.01it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: quantized model in 25.322s
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Processed model cycy233/L3-klee-v2-e2.5 in 65.465s
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: creating bucket guanaco-mkml-models
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-l3-klee-v2-e2-5-v1
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-l3-klee-v2-e2-5-v1/config.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-l3-klee-v2-e2-5-v1/tokenizer_config.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-l3-klee-v2-e2-5-v1/special_tokens_map.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-l3-klee-v2-e2-5-v1/tokenizer.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-l3-klee-v2-e2-5-v1/flywheel_model.0.safetensors
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:919: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-klee-v2-e2-5-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-v2-e2-5-v1-mkmlizer: warnings.warn(
cycy233-l3-klee-v2-e2-5-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-v2-e2-5-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Saving duration: 0.426s
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.082s
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: creating bucket guanaco-reward-models
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/config.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/special_tokens_map.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/vocab.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/tokenizer_config.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/merges.txt
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/tokenizer.json
cycy233-l3-klee-v2-e2-5-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-l3-klee-v2-e2-5-v1_reward/reward.tensors
Job cycy233-l3-klee-v2-e2-5-v1-mkmlizer completed after 110.99s with status: succeeded
Stopping job with name cycy233-l3-klee-v2-e2-5-v1-mkmlizer
Pipeline stage MKMLizer completed in 112.20s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-l3-klee-v2-e2-5-v1
Waiting for inference service cycy233-l3-klee-v2-e2-5-v1 to be ready
Inference service cycy233-l3-klee-v2-e2-5-v1 ready after 60.356568336486816s
Pipeline stage ISVCDeployer completed in 67.20s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1905081272125244s
Received healthy response to inference request in 1.4072482585906982s
Received healthy response to inference request in 1.3634822368621826s
Received healthy response to inference request in 1.400094985961914s
Received healthy response to inference request in 1.4130501747131348s
5 requests
0 failed requests
5th percentile: 1.370804786682129
10th percentile: 1.3781273365020752
20th percentile: 1.3927724361419678
30th percentile: 1.4015256404876708
40th percentile: 1.4043869495391845
50th percentile: 1.4072482585906982
60th percentile: 1.4095690250396729
70th percentile: 1.4118897914886475
80th percentile: 1.568541765213013
90th percentile: 1.8795249462127686
95th percentile: 2.0350165367126465
99th percentile: 2.1594098091125487
mean time: 1.5548767566680908
Pipeline stage StressChecker completed in 8.52s
cycy233-l3-klee-v2-e2-5_v1 status is now deployed due to DeploymentManager action
cycy233-l3-klee-v2-e2-5_v1 status is now inactive due to auto deactivation removed underperforming models

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