submission_id: invisietch-nimbus-miqu-v_1959_v2
developer_uid: invisietch
status: inactive
model_repo: invisietch/Nimbus-Miqu-v0.1-70B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.95, 'min_p': 0.025, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '### Instruction:\n{memory}\n', 'prompt_template': '### Input:\n{prompt}\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '### Response:\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: 2024-07-08T03:54:32+00:00
model_name: invisietch-nimbus-miqu-v0_1
model_group: invisietch/Nimbus-Miqu-v
num_battles: 31057
num_wins: 14442
celo_rating: 1173.88
propriety_score: 0.7199847299102882
propriety_total_count: 5239.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 68976648192.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: invisietch-nimbus-miqu-v0_1
ineligible_reason: None
language_model: invisietch/Nimbus-Miqu-v0.1-70B
model_size: 69B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-07
win_ratio: 0.4650159384357794
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name invisietch-nimbus-miqu-v-1959-v2-mkmlizer
Waiting for job on invisietch-nimbus-miqu-v-1959-v2-mkmlizer to finish
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║     _____            __           __                                ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║       /___/                                                         ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║                                                                     ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  Version: 0.8.14                                                    ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  https://mk1.ai                                                     ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║                                                                     ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  The license key for the current software has been verified as      ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  belonging to:                                                      ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║                                                                     ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  Chai Research Corp.                                                ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ║                                                                     ║
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Downloaded to shared memory in 194.032s
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: quantizing model to /dev/shm/model_cache
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: quantized model in 146.284s
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Processed model invisietch/Nimbus-Miqu-v0.1-70B in 340.316s
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: creating bucket guanaco-mkml-models
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/config.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/tokenizer_config.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/special_tokens_map.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/tokenizer.model
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/tokenizer.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/flywheel_model.5.safetensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/flywheel_model.0.safetensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/flywheel_model.3.safetensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/flywheel_model.4.safetensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/flywheel_model.2.safetensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/invisietch-nimbus-miqu-v-1959-v2/flywheel_model.1.safetensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
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/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.
invisietch-nimbus-miqu-v-1959-v2-mkmlizer:   warnings.warn(
invisietch-nimbus-miqu-v-1959-v2-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`.
invisietch-nimbus-miqu-v-1959-v2-mkmlizer:   warnings.warn(
invisietch-nimbus-miqu-v-1959-v2-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.
invisietch-nimbus-miqu-v-1959-v2-mkmlizer:   warnings.warn(
invisietch-nimbus-miqu-v-1959-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.
invisietch-nimbus-miqu-v-1959-v2-mkmlizer:   warnings.warn(
invisietch-nimbus-miqu-v-1959-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()
invisietch-nimbus-miqu-v-1959-v2-mkmlizer:   return self.fget.__get__(instance, owner)()
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Saving duration: 0.525s
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.789s
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: creating bucket guanaco-reward-models
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/config.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/special_tokens_map.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/tokenizer_config.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/merges.txt
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/vocab.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/tokenizer.json
invisietch-nimbus-miqu-v-1959-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/invisietch-nimbus-miqu-v-1959-v2_reward/reward.tensors
Job invisietch-nimbus-miqu-v-1959-v2-mkmlizer completed after 412.61s with status: succeeded
Stopping job with name invisietch-nimbus-miqu-v-1959-v2-mkmlizer
Pipeline stage MKMLizer completed in 414.17s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service invisietch-nimbus-miqu-v-1959-v2
Waiting for inference service invisietch-nimbus-miqu-v-1959-v2 to be ready
Failed to get response for submission nitral-ai-hathor-l3-8b-v-01_v38: ('http://nitral-ai-hathor-l3-8b-v-01-v38-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:59658->127.0.0.1:8080: read: connection reset by peer\n')
Inference service invisietch-nimbus-miqu-v-1959-v2 ready after 90.6326551437378s
Pipeline stage ISVCDeployer completed in 97.53s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.4825937747955322s
Received healthy response to inference request in 3.443424701690674s
Received healthy response to inference request in 2.494899272918701s
Received healthy response to inference request in 3.5659663677215576s
Received healthy response to inference request in 3.1030828952789307s
5 requests
0 failed requests
5th percentile: 2.616535997390747
10th percentile: 2.738172721862793
20th percentile: 2.9814461708068847
30th percentile: 3.1711512565612794
40th percentile: 3.3072879791259764
50th percentile: 3.443424701690674
60th percentile: 3.4590923309326174
70th percentile: 3.4747599601745605
80th percentile: 3.4992682933807373
90th percentile: 3.5326173305511475
95th percentile: 3.5492918491363525
99th percentile: 3.5626314640045167
mean time: 3.217993402481079
Pipeline stage StressChecker completed in 16.86s
invisietch-nimbus-miqu-v_1959_v2 status is now deployed due to DeploymentManager action
invisietch-nimbus-miqu-v_1959_v2 status is now inactive due to auto deactivation removed underperforming models

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