submission_id: cycy233-misllm-v6-2-2-5_v2
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v6.2.2.5
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': "{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': True}
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': True}
timestamp: 2024-05-30T23:49:00+00:00
model_name: base
model_eval_status: success
model_group: cycy233/misllm_v6.2.2.5
num_battles: 7758
num_wins: 4034
celo_rating: 1194.71
propriety_score: 0.5
propriety_total_count: 6.0
submission_type: basic
model_architecture: MistralForCausalLM
model_num_parameters: 7248023552.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: base
ineligible_reason: propriety_total_count < 5000
language_model: cycy233/misllm_v6.2.2.5
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-30
win_ratio: 0.519979376127868
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v6-2-2-5-v2-mkmlizer
Waiting for job on cycy233-misllm-v6-2-2-5-v2-mkmlizer to finish
cycy233-misllm-v6-2-2-5-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v6-2-2-5-v2-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v6-2-2-5-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v6-2-2-5-v2-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v6-2-2-5-v2-mkmlizer: ║ Chai Research Corp. ║
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cycy233-misllm-v6-2-2-5-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v6-2-2-5-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-misllm-v6-2-2-5-v2-mkmlizer: warnings.warn(warning_message, FutureWarning)
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Downloaded to shared memory in 26.004s
cycy233-misllm-v6-2-2-5-v2-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 81.71it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 90.66it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 78.75it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v6-2-2-5-v2-mkmlizer: quantized model in 13.416s
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Processed model cycy233/misllm_v6.2.2.5 in 40.686s
cycy233-misllm-v6-2-2-5-v2-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v6-2-2-5-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2/config.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2/tokenizer.model
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2/tokenizer.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v6-2-2-5-v2/flywheel_model.0.safetensors
cycy233-misllm-v6-2-2-5-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v6-2-2-5-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-misllm-v6-2-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-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-misllm-v6-2-2-5-v2-mkmlizer: warnings.warn(
cycy233-misllm-v6-2-2-5-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-misllm-v6-2-2-5-v2-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Saving duration: 0.278s
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.629s
cycy233-misllm-v6-2-2-5-v2-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v6-2-2-5-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v6-2-2-5-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/special_tokens_map.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/config.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/tokenizer_config.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/vocab.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/merges.txt
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/tokenizer.json
cycy233-misllm-v6-2-2-5-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v6-2-2-5-v2_reward/reward.tensors
Job cycy233-misllm-v6-2-2-5-v2-mkmlizer completed after 63.06s with status: succeeded
Stopping job with name cycy233-misllm-v6-2-2-5-v2-mkmlizer
Pipeline stage MKMLizer completed in 63.48s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v6-2-2-5-v2
Waiting for inference service cycy233-misllm-v6-2-2-5-v2 to be ready
Inference service cycy233-misllm-v6-2-2-5-v2 ready after 30.18234348297119s
Pipeline stage ISVCDeployer completed in 35.74s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.9232661724090576s
Received healthy response to inference request in 0.8969175815582275s
Received healthy response to inference request in 0.9959256649017334s
Received healthy response to inference request in 1.9561524391174316s
Received healthy response to inference request in 1.5965523719787598s
5 requests
0 failed requests
5th percentile: 0.9167191982269287
10th percentile: 0.9365208148956299
20th percentile: 0.9761240482330322
30th percentile: 1.1160510063171387
40th percentile: 1.3563016891479494
50th percentile: 1.5965523719787598
60th percentile: 1.7272378921508789
70th percentile: 1.857923412322998
80th percentile: 1.9298434257507324
90th percentile: 1.942997932434082
95th percentile: 1.9495751857757568
99th percentile: 1.9548369884490966
mean time: 1.473762845993042
Pipeline stage StressChecker completed in 7.98s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
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-v6-2-2-5_v2 status is now deployed due to DeploymentManager action
cycy233-misllm-v6-2-2-5_v2 status is now inactive due to auto deactivation removed underperforming models

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