submission_id: turboderp-cat-llama-3-7_8684_v17
developer_uid: kaltcit
status: inactive
model_repo: turboderp/Cat-Llama-3-70B-instruct
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.8, 'min_p': 0.0, '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': '<|begin_of_text|><|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>system\nThe following message provides the necessary information about the subsequent conversation and the characters in the conversation.\n{prompt}\nThe conversation below will be carried out according to information in the above text.<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\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: 2024-06-28T20:47:18+00:00
model_name: turboderp-cat-llama-3-70
model_group: turboderp/Cat-Llama-3-70
num_battles: 19588
num_wins: 9847
celo_rating: 1184.69
propriety_score: 0.7381030521824745
propriety_total_count: 9141.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 70553739264.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: turboderp-cat-llama-3-70
ineligible_reason: None
language_model: turboderp/Cat-Llama-3-70B-instruct
model_size: 71B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-28
win_ratio: 0.5027057382070655
Resubmit model
Running pipeline stage MKMLizer
Starting job with name turboderp-cat-llama-3-7-8684-v17-mkmlizer
Waiting for job on turboderp-cat-llama-3-7-8684-v17-mkmlizer to finish
Stopping job with name turboderp-cat-llama-3-7-8684-v17-mkmlizer
%s, retrying in %s seconds...
Starting job with name turboderp-cat-llama-3-7-8684-v17-mkmlizer
Waiting for job on turboderp-cat-llama-3-7-8684-v17-mkmlizer to finish
turboderp-cat-llama-3-7-8684-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
turboderp-cat-llama-3-7-8684-v17-mkmlizer: ║ _____ __ __ ║
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turboderp-cat-llama-3-7-8684-v17-mkmlizer: ║ Version: 0.8.14 ║
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turboderp-cat-llama-3-7-8684-v17-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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turboderp-cat-llama-3-7-8684-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
turboderp-cat-llama-3-7-8684-v17-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.
turboderp-cat-llama-3-7-8684-v17-mkmlizer: warnings.warn(warning_message, FutureWarning)
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Downloaded to shared memory in 133.759s
turboderp-cat-llama-3-7-8684-v17-mkmlizer: quantizing model to /dev/shm/model_cache
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Saving flywheel model at /dev/shm/model_cache
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turboderp-cat-llama-3-7-8684-v17-mkmlizer: quantized model in 152.391s
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Processed model turboderp/Cat-Llama-3-70B-instruct in 308.688s
turboderp-cat-llama-3-7-8684-v17-mkmlizer: creating bucket guanaco-mkml-models
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
turboderp-cat-llama-3-7-8684-v17-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/tokenizer_config.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/config.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/tokenizer.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/special_tokens_map.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/flywheel_model.2.safetensors
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/flywheel_model.4.safetensors
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/flywheel_model.1.safetensors
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/flywheel_model.3.safetensors
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/turboderp-cat-llama-3-7-8684-v17/flywheel_model.0.safetensors
turboderp-cat-llama-3-7-8684-v17-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
turboderp-cat-llama-3-7-8684-v17-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.
turboderp-cat-llama-3-7-8684-v17-mkmlizer: warnings.warn(
turboderp-cat-llama-3-7-8684-v17-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.
turboderp-cat-llama-3-7-8684-v17-mkmlizer: warnings.warn(
turboderp-cat-llama-3-7-8684-v17-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.
turboderp-cat-llama-3-7-8684-v17-mkmlizer: warnings.warn(
turboderp-cat-llama-3-7-8684-v17-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()
turboderp-cat-llama-3-7-8684-v17-mkmlizer: return self.fget.__get__(instance, owner)()
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Saving duration: 0.413s
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 7.262s
turboderp-cat-llama-3-7-8684-v17-mkmlizer: creating bucket guanaco-reward-models
turboderp-cat-llama-3-7-8684-v17-mkmlizer: Bucket 's3://guanaco-reward-models/' created
turboderp-cat-llama-3-7-8684-v17-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/special_tokens_map.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/config.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/tokenizer_config.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/merges.txt
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/vocab.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/tokenizer.json
turboderp-cat-llama-3-7-8684-v17-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/turboderp-cat-llama-3-7-8684-v17_reward/reward.tensors
Job turboderp-cat-llama-3-7-8684-v17-mkmlizer completed after 371.0s with status: succeeded
Stopping job with name turboderp-cat-llama-3-7-8684-v17-mkmlizer
Pipeline stage MKMLizer completed in 372.36s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service turboderp-cat-llama-3-7-8684-v17
Waiting for inference service turboderp-cat-llama-3-7-8684-v17 to be ready
Inference service turboderp-cat-llama-3-7-8684-v17 ready after 90.45452165603638s
Pipeline stage ISVCDeployer completed in 97.26s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.131200790405273s
Received healthy response to inference request in 4.255380868911743s
Received healthy response to inference request in 4.239772081375122s
Received healthy response to inference request in 4.216203689575195s
Received healthy response to inference request in 4.242113828659058s
5 requests
0 failed requests
5th percentile: 4.220917367935181
10th percentile: 4.225631046295166
20th percentile: 4.235058403015136
30th percentile: 4.240240430831909
40th percentile: 4.241177129745483
50th percentile: 4.242113828659058
60th percentile: 4.2474206447601315
70th percentile: 4.252727460861206
80th percentile: 4.430544853210449
90th percentile: 4.780872821807861
95th percentile: 4.956036806106567
99th percentile: 5.096167993545532
mean time: 4.416934251785278
Pipeline stage StressChecker completed in 23.03s
turboderp-cat-llama-3-7_8684_v17 status is now deployed due to DeploymentManager action
turboderp-cat-llama-3-7_8684_v17 status is now inactive due to auto deactivation removed underperforming models

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