developer_uid: Trace2333
submission_id: trace2333-fd-llama3-v3-nall_v3
model_name: trace2333-fd-llama3-v3-nall_v3
model_group: Trace2333/fd_llama3_v3_N
status: torndown
timestamp: 2024-08-05T06:18:01+00:00
num_battles: 12940
num_wins: 6093
celo_rating: 1198.54
family_friendly_score: 0.0
submission_type: basic
model_repo: Trace2333/fd_llama3_v3_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-v3-nall_v3
is_internal_developer: False
language_model: Trace2333/fd_llama3_v3_Nall
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-04
win_ratio: 0.4708655332302937
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.06, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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-nall-v3-mkmlizer
Waiting for job on trace2333-fd-llama3-v3-nall-v3-mkmlizer to finish
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ _____ __ __ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ /___/ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ Version: 0.9.9 ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ belonging to: ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Downloaded to shared memory in 40.984s
trace2333-fd-llama3-v3-nall-v3-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp9cic6c5p, device:0
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v3-nall-v3-mkmlizer: quantized model in 29.161s
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Processed model Trace2333/fd_llama3_v3_Nall in 70.145s
trace2333-fd-llama3-v3-nall-v3-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v3-nall-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v3
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v3/config.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v3/special_tokens_map.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v3/tokenizer_config.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v3/tokenizer.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v3/flywheel_model.0.safetensors
trace2333-fd-llama3-v3-nall-v3-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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trace2333-fd-llama3-v3-nall-v3-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-nall-v3-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-nall-v3-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-nall-v3-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-nall-v3-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Saving duration: 1.377s
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.257s
trace2333-fd-llama3-v3-nall-v3-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v3-nall-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v3-nall-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/special_tokens_map.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/config.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/tokenizer_config.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/merges.txt
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/vocab.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/tokenizer.json
trace2333-fd-llama3-v3-nall-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v3_reward/reward.tensors
Job trace2333-fd-llama3-v3-nall-v3-mkmlizer completed after 116.38s with status: succeeded
Stopping job with name trace2333-fd-llama3-v3-nall-v3-mkmlizer
Pipeline stage MKMLizer completed in 117.41s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v3-nall-v3
Waiting for inference service trace2333-fd-llama3-v3-nall-v3 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service trace2333-fd-llama3-v3-nall-v3 ready after 181.0796525478363s
Pipeline stage ISVCDeployer completed in 182.87s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1981544494628906s
Received healthy response to inference request in 1.4804794788360596s
Received healthy response to inference request in 1.4471466541290283s
Received healthy response to inference request in 1.3867933750152588s
Received healthy response to inference request in 1.3743252754211426s
5 requests
0 failed requests
5th percentile: 1.3768188953399658
10th percentile: 1.379312515258789
20th percentile: 1.3842997550964355
30th percentile: 1.3988640308380127
40th percentile: 1.4230053424835205
50th percentile: 1.4471466541290283
60th percentile: 1.4604797840118409
70th percentile: 1.4738129138946534
80th percentile: 1.6240144729614259
90th percentile: 1.9110844612121582
95th percentile: 2.0546194553375243
99th percentile: 2.169447450637817
mean time: 1.5773798465728759
Pipeline stage StressChecker completed in 8.57s
trace2333-fd-llama3-v3-nall_v3 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v3-nall_v3 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v3-nall_v3 status is now torndown due to DeploymentManager action