submission_id: azazelle-l3-tyche-8b-v1-0_v3
developer_uid: notthesideeye
status: inactive
model_repo: Azazelle/L3-Tyche-8B-v1.0
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.85, 'top_p': 1.0, 'min_p': 0.03, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], '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}<|eot_id|>\n\n", 'prompt_template': '{prompt}<|eot_id|>\n\n', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>\n\n', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>\n\n', '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: 2024-07-11T03:43:52+00:00
model_name: Azazelle-L3-Tyche-8B-v1_0
model_group: Azazelle/L3-Tyche-8B-v1.
num_battles: 29217
num_wins: 15800
celo_rating: 1217.41
propriety_score: 0.6983911939034716
propriety_total_count: 5905.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: Azazelle-L3-Tyche-8B-v1_0
ineligible_reason: None
language_model: Azazelle/L3-Tyche-8B-v1.0
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-07-10
win_ratio: 0.5407810521271862
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name azazelle-l3-tyche-8b-v1-0-v3-mkmlizer
Waiting for job on azazelle-l3-tyche-8b-v1-0-v3-mkmlizer to finish
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ║ _____ __ __ ║
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azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ║ Version: 0.8.14 ║
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ║ Chai Research Corp. ║
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azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Downloaded to shared memory in 46.052s
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: quantizing model to /dev/shm/model_cache
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: quantized model in 31.978s
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Processed model Azazelle/L3-Tyche-8B-v1.0 in 78.031s
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: creating bucket guanaco-mkml-models
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/azazelle-l3-tyche-8b-v1-0-v3
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/azazelle-l3-tyche-8b-v1-0-v3/config.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/azazelle-l3-tyche-8b-v1-0-v3/tokenizer_config.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/azazelle-l3-tyche-8b-v1-0-v3/special_tokens_map.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/azazelle-l3-tyche-8b-v1-0-v3/tokenizer.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/azazelle-l3-tyche-8b-v1-0-v3/flywheel_model.0.safetensors
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
azazelle-l3-tyche-8b-v1-0-v3-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.
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: warnings.warn(
azazelle-l3-tyche-8b-v1-0-v3-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`.
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: warnings.warn(
azazelle-l3-tyche-8b-v1-0-v3-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.
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: warnings.warn(
azazelle-l3-tyche-8b-v1-0-v3-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.
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: warnings.warn(
azazelle-l3-tyche-8b-v1-0-v3-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()
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: return self.fget.__get__(instance, owner)()
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Saving duration: 0.525s
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.111s
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: creating bucket guanaco-reward-models
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/config.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/tokenizer_config.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/merges.txt
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/special_tokens_map.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/vocab.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/tokenizer.json
azazelle-l3-tyche-8b-v1-0-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/azazelle-l3-tyche-8b-v1-0-v3_reward/reward.tensors
Job azazelle-l3-tyche-8b-v1-0-v3-mkmlizer completed after 104.4s with status: succeeded
Stopping job with name azazelle-l3-tyche-8b-v1-0-v3-mkmlizer
Pipeline stage MKMLizer completed in 105.38s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service azazelle-l3-tyche-8b-v1-0-v3
Waiting for inference service azazelle-l3-tyche-8b-v1-0-v3 to be ready
Failed to get response for submission blend_pefis_2024-07-04: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'min_p\'"}')
Inference service azazelle-l3-tyche-8b-v1-0-v3 ready after 40.38745450973511s
Pipeline stage ISVCDeployer completed in 47.55s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.158722162246704s
Received healthy response to inference request in 1.3620755672454834s
Received healthy response to inference request in 1.2934730052947998s
Received healthy response to inference request in 1.2704739570617676s
Received healthy response to inference request in 1.2548902034759521s
5 requests
0 failed requests
5th percentile: 1.2580069541931151
10th percentile: 1.2611237049102784
20th percentile: 1.2673572063446046
30th percentile: 1.275073766708374
40th percentile: 1.284273386001587
50th percentile: 1.2934730052947998
60th percentile: 1.3209140300750732
70th percentile: 1.3483550548553467
80th percentile: 1.5214048862457277
90th percentile: 1.840063524246216
95th percentile: 1.9993928432464598
99th percentile: 2.126856298446655
mean time: 1.4679269790649414
Pipeline stage StressChecker completed in 8.05s
azazelle-l3-tyche-8b-v1-0_v3 status is now deployed due to DeploymentManager action
azazelle-l3-tyche-8b-v1-0_v3 status is now inactive due to auto deactivation removed underperforming models

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