trace2333-fd-llama3-v3-f_5076

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v3-f_5076_v1

model_name: trace2333-fd-llama3-v3-f_5076_v1

model_group: Trace2333/fd_llama3_v3_f

status: torndown

timestamp: 2024-08-12T04:06:07+00:00

num_battles: 11197

num_wins: 5158

celo_rating: 1193.83

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v3_fdall_r32a16_scored

model_architecture: LlamaForCausalLM

reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634

model_num_parameters: 8030261248.0

best_of: 16

max_input_tokens: 512

max_output_tokens: 64

display_name: trace2333-fd-llama3-v3-f_5076_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v3_fdall_r32a16_scored

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-11

win_ratio: 0.4606591051174422

generation_params: {'temperature': 1.15, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 250, 'presence_penalty': 0.0, 'frequency_penalty': 0.1, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}

formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\nYou: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}

reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}

Resubmit model

Running pipeline stage MKMLizer
Starting job with name trace2333-fd-llama3-v3-f-5076-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v3-f-5076-v1-mkmlizer to finish
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Downloaded to shared memory in 55.262s
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5hv6al7c, device:0
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: quantized model in 29.243s
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Processed model Trace2333/fd_llama3_v3_fdall_r32a16_scored in 84.505s
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v3-f-5076-v1
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-f-5076-v1/config.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-f-5076-v1/special_tokens_map.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-f-5076-v1/tokenizer_config.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v3-f-5076-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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/opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Saving duration: 1.391s
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.880s
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/config.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/merges.txt
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/vocab.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/tokenizer.json
trace2333-fd-llama3-v3-f-5076-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v3-f-5076-v1_reward/reward.tensors
Job trace2333-fd-llama3-v3-f-5076-v1-mkmlizer completed after 125.09s with status: succeeded
Stopping job with name trace2333-fd-llama3-v3-f-5076-v1-mkmlizer
Pipeline stage MKMLizer completed in 126.09s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v3-f-5076-v1
Waiting for inference service trace2333-fd-llama3-v3-f-5076-v1 to be ready
Inference service trace2333-fd-llama3-v3-f-5076-v1 ready after 211.24789476394653s
Pipeline stage ISVCDeployer completed in 213.14s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2136902809143066s
Received healthy response to inference request in 1.4854145050048828s
Received healthy response to inference request in 1.4356169700622559s
Received healthy response to inference request in 1.4384160041809082s
Received healthy response to inference request in 1.3406155109405518s
5 requests
0 failed requests
5th percentile: 1.3596158027648926
10th percentile: 1.3786160945892334
20th percentile: 1.416616678237915
30th percentile: 1.4361767768859863
40th percentile: 1.4372963905334473
50th percentile: 1.4384160041809082
60th percentile: 1.4572154045104981
70th percentile: 1.4760148048400878
80th percentile: 1.6310696601867678
90th percentile: 1.922379970550537
95th percentile: 2.068035125732422
99th percentile: 2.1845592498779296
mean time: 1.5827506542205811
Pipeline stage StressChecker completed in 8.62s
trace2333-fd-llama3-v3-f_5076_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v3-f_5076_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v3-f_5076_v1 status is now torndown due to DeploymentManager action