trace2333-fd-llama3-v2-nall

developer_uid: Trace2333

submission_id: trace2333-fd-llama3-v2-nall_v1

model_name: trace2333-fd-llama3-v2-nall_v1

model_group: Trace2333/fd_llama3_v2_N

status: torndown

timestamp: 2024-08-03T05:30:48+00:00

num_battles: 15626

num_wins: 7232

celo_rating: 1198.35

family_friendly_score: 0.0

submission_type: basic

model_repo: Trace2333/fd_llama3_v2_Nall

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-v2-nall_v1

is_internal_developer: False

language_model: Trace2333/fd_llama3_v2_Nall

model_size: 8B

ranking_group: single

us_pacific_date: 2024-08-02

win_ratio: 0.4628183796237041

generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 80, '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\n{user_name}: {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-v2-nall-v1-mkmlizer
Waiting for job on trace2333-fd-llama3-v2-nall-v1-mkmlizer to finish
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║     _____            __           __                                ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║       /___/                                                         ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  Version: 0.9.9                                                     ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  https://mk1.ai                                                     ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  belonging to:                                                      ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  Chai Research Corp.                                                ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║  Expiration: 2024-10-15 23:59:59                                    ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ║                                                                     ║
trace2333-fd-llama3-v2-nall-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v2-nall-v1-mkmlizer: quantized model in 28.767s
trace2333-fd-llama3-v2-nall-v1-mkmlizer: Processed model Trace2333/fd_llama3_v2_Nall in 85.346s
trace2333-fd-llama3-v2-nall-v1-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v2-nall-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v2-nall-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v2-nall-v1
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v2-nall-v1/tokenizer.json
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v2-nall-v1/flywheel_model.0.safetensors
trace2333-fd-llama3-v2-nall-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-v2-nall-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v2-nall-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-v2-nall-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v2-nall-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-v2-nall-v1-mkmlizer:   warnings.warn(
trace2333-fd-llama3-v2-nall-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v2-nall-v1-mkmlizer: Saving duration: 1.354s
trace2333-fd-llama3-v2-nall-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 10.681s
trace2333-fd-llama3-v2-nall-v1-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v2-nall-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v2-nall-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward/tokenizer_config.json
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward/config.json
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward/special_tokens_map.json
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward/merges.txt
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward/vocab.json
trace2333-fd-llama3-v2-nall-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v2-nall-v1_reward/reward.tensors
Job trace2333-fd-llama3-v2-nall-v1-mkmlizer completed after 125.47s with status: succeeded
Stopping job with name trace2333-fd-llama3-v2-nall-v1-mkmlizer
Pipeline stage MKMLizer completed in 126.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v2-nall-v1
Waiting for inference service trace2333-fd-llama3-v2-nall-v1 to be ready
Inference service trace2333-fd-llama3-v2-nall-v1 ready after 151.57230830192566s
Pipeline stage ISVCDeployer completed in 153.44s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.373946189880371s
Received healthy response to inference request in 1.5137836933135986s
Received healthy response to inference request in 1.4516057968139648s
Received healthy response to inference request in 1.4653387069702148s
Received healthy response to inference request in 1.3939521312713623s
5 requests
0 failed requests
5th percentile: 1.405482864379883
10th percentile: 1.4170135974884033
20th percentile: 1.4400750637054442
30th percentile: 1.4543523788452148
40th percentile: 1.4598455429077148
50th percentile: 1.4653387069702148
60th percentile: 1.4847167015075684
70th percentile: 1.504094696044922
80th percentile: 1.6858161926269533
90th percentile: 2.0298811912536623
95th percentile: 2.2019136905670162
99th percentile: 2.3395396900177
mean time: 1.6397253036499024
Pipeline stage StressChecker completed in 8.81s
trace2333-fd-llama3-v2-nall_v1 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v2-nall_v1 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v2-nall_v1 status is now torndown due to DeploymentManager action