submission_id: cycy233-misllm-v9-0-2_v5
developer_uid: shiroe40
status: inactive
model_repo: cycy233/misllm_v9.0.2
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': 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: 2024-06-19T07:24:26+00:00
model_name: base_f
model_group: cycy233/misllm_v9.0.2
num_battles: 17001
num_wins: 8698
celo_rating: 1191.04
propriety_score: 0.6891905379778421
propriety_total_count: 10019.0
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_f
ineligible_reason: None
language_model: cycy233/misllm_v9.0.2
model_size: 7B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-19
win_ratio: 0.5116169637080171
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cycy233-misllm-v9-0-2-v5-mkmlizer
Waiting for job on cycy233-misllm-v9-0-2-v5-mkmlizer to finish
cycy233-misllm-v9-0-2-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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cycy233-misllm-v9-0-2-v5-mkmlizer: ║ ║
cycy233-misllm-v9-0-2-v5-mkmlizer: ║ Version: 0.8.14 ║
cycy233-misllm-v9-0-2-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cycy233-misllm-v9-0-2-v5-mkmlizer: ║ https://mk1.ai ║
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cycy233-misllm-v9-0-2-v5-mkmlizer: ║ belonging to: ║
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cycy233-misllm-v9-0-2-v5-mkmlizer: ║ Chai Research Corp. ║
cycy233-misllm-v9-0-2-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cycy233-misllm-v9-0-2-v5-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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cycy233-misllm-v9-0-2-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cycy233-misllm-v9-0-2-v5-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-v9-0-2-v5-mkmlizer: warnings.warn(warning_message, FutureWarning)
Failed to get response for submission cycy233-misllm-v9-0-3_v2: ('http://cycy233-misllm-v9-0-3-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '')
Failed to get response for submission cycy233-misllm-v9-0-3_v2: ('http://cycy233-misllm-v9-0-3-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '')
cycy233-misllm-v9-0-2-v5-mkmlizer: Downloaded to shared memory in 16.218s
cycy233-misllm-v9-0-2-v5-mkmlizer: quantizing model to /dev/shm/model_cache
cycy233-misllm-v9-0-2-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cycy233-misllm-v9-0-2-v5-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 34%|███▎ | 98/291 [00:01<00:02, 80.21it/s] Loading 0: 70%|███████ | 204/291 [00:02<00:00, 99.71it/s] Loading 0: 100%|██████████| 291/291 [00:03<00:00, 82.93it/s] You set `add_prefix_space`. The tokenizer needs to be converted from the slow tokenizers
cycy233-misllm-v9-0-2-v5-mkmlizer: quantized model in 14.974s
cycy233-misllm-v9-0-2-v5-mkmlizer: Processed model cycy233/misllm_v9.0.2 in 33.436s
cycy233-misllm-v9-0-2-v5-mkmlizer: creating bucket guanaco-mkml-models
cycy233-misllm-v9-0-2-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cycy233-misllm-v9-0-2-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5/config.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5/tokenizer.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5/tokenizer.model
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5/tokenizer_config.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5/special_tokens_map.json
Failed to get response for submission cycy233-misllm-v9-0-3_v2: ('http://cycy233-misllm-v9-0-3-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '')
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cycy233-misllm-v9-0-2-v5/flywheel_model.0.safetensors
cycy233-misllm-v9-0-2-v5-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cycy233-misllm-v9-0-2-v5-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-v9-0-2-v5-mkmlizer: warnings.warn(
cycy233-misllm-v9-0-2-v5-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-v9-0-2-v5-mkmlizer: warnings.warn(
cycy233-misllm-v9-0-2-v5-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-v9-0-2-v5-mkmlizer: warnings.warn(
cycy233-misllm-v9-0-2-v5-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-v9-0-2-v5-mkmlizer: return self.fget.__get__(instance, owner)()
cycy233-misllm-v9-0-2-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cycy233-misllm-v9-0-2-v5-mkmlizer: Saving duration: 0.393s
cycy233-misllm-v9-0-2-v5-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.046s
cycy233-misllm-v9-0-2-v5-mkmlizer: creating bucket guanaco-reward-models
cycy233-misllm-v9-0-2-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cycy233-misllm-v9-0-2-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/special_tokens_map.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/vocab.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/merges.txt
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/config.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/tokenizer_config.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/tokenizer.json
cycy233-misllm-v9-0-2-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cycy233-misllm-v9-0-2-v5_reward/reward.tensors
Job cycy233-misllm-v9-0-2-v5-mkmlizer completed after 62.73s with status: succeeded
Stopping job with name cycy233-misllm-v9-0-2-v5-mkmlizer
Pipeline stage MKMLizer completed in 65.40s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service cycy233-misllm-v9-0-2-v5
Waiting for inference service cycy233-misllm-v9-0-2-v5 to be ready
Failed to get response for submission cycy233-misllm-v9-0-3_v2: ('http://cycy233-misllm-v9-0-3-v2-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '')
Inference service cycy233-misllm-v9-0-2-v5 ready after 80.3520929813385s
Pipeline stage ISVCDeployer completed in 87.23s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.7743816375732422s
Received healthy response to inference request in 0.9914922714233398s
Received healthy response to inference request in 1.022435188293457s
Received healthy response to inference request in 0.9417228698730469s
Received healthy response to inference request in 1.0153536796569824s
5 requests
0 failed requests
5th percentile: 0.9516767501831055
10th percentile: 0.9616306304931641
20th percentile: 0.9815383911132812
30th percentile: 0.9962645530700683
40th percentile: 1.0058091163635254
50th percentile: 1.0153536796569824
60th percentile: 1.0181862831115722
70th percentile: 1.021018886566162
80th percentile: 1.1728244781494142
90th percentile: 1.4736030578613282
95th percentile: 1.623992347717285
99th percentile: 1.7443037796020509
mean time: 1.1490771293640136
Pipeline stage StressChecker completed in 6.40s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cycy233-misllm-v9-0-2_v5 status is now deployed due to DeploymentManager action
cycy233-misllm-v9-0-2_v5 status is now inactive due to auto deactivation removed underperforming models

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