submission_id: trace2333-fd-llama3-v4_v6
developer_uid: Trace2333
best_of: 16
celo_rating: 1197.37
display_name: trace2333-fd-llama3-v4_v6
family_friendly_score: 0.0
formatter: {'memory_template': "<|start_header_id|>system<|end_header_id|>\n\n{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}
generation_params: {'temperature': 1.15, 'top_p': 0.95, 'min_p': 0.06, 'top_k': 100, '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}
is_internal_developer: False
language_model: Trace2333/fd_llama3_v4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Trace2333/fd_llama3_v4
model_name: trace2333-fd-llama3-v4_v6
model_num_parameters: 8030261248.0
model_repo: Trace2333/fd_llama3_v4
model_size: 8B
num_battles: 18035
num_wins: 8489
ranking_group: single
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'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-07T13:39:03+00:00
us_pacific_date: 2024-08-07
win_ratio: 0.4706958691433324
Resubmit model
Running pipeline stage MKMLizer
Starting job with name trace2333-fd-llama3-v4-v6-mkmlizer
Waiting for job on trace2333-fd-llama3-v4-v6-mkmlizer to finish
trace2333-fd-llama3-v4-v6-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v4-v6-mkmlizer: ║ _____ __ __ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ /___/ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ Version: 0.9.9 ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ belonging to: ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-llama3-v4-v6-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v6-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v4-v6-mkmlizer: Downloaded to shared memory in 41.615s
trace2333-fd-llama3-v4-v6-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpk7ef_3pt, device:0
trace2333-fd-llama3-v4-v6-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v4-v6-mkmlizer: quantized model in 28.366s
trace2333-fd-llama3-v4-v6-mkmlizer: Processed model Trace2333/fd_llama3_v4 in 69.981s
trace2333-fd-llama3-v4-v6-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v4-v6-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v4-v6-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v6
trace2333-fd-llama3-v4-v6-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v6/config.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v6/tokenizer_config.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v6/special_tokens_map.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v6/tokenizer.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v6/flywheel_model.0.safetensors
trace2333-fd-llama3-v4-v6-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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trace2333-fd-llama3-v4-v6-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-v6-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-v4-v6-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-v6-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-v4-v6-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-v6-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v4-v6-mkmlizer: Saving duration: 1.447s
trace2333-fd-llama3-v4-v6-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.626s
trace2333-fd-llama3-v4-v6-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v4-v6-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v4-v6-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward
trace2333-fd-llama3-v4-v6-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward/config.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward/tokenizer_config.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward/special_tokens_map.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward/merges.txt
trace2333-fd-llama3-v4-v6-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward/vocab.json
trace2333-fd-llama3-v4-v6-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v6_reward/tokenizer.json
Job trace2333-fd-llama3-v4-v6-mkmlizer completed after 115.17s with status: succeeded
Stopping job with name trace2333-fd-llama3-v4-v6-mkmlizer
Pipeline stage MKMLizer completed in 116.20s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v4-v6
Waiting for inference service trace2333-fd-llama3-v4-v6 to be ready
Inference service trace2333-fd-llama3-v4-v6 ready after 191.12606143951416s
Pipeline stage ISVCDeployer completed in 193.57s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4397854804992676s
Received healthy response to inference request in 1.4235622882843018s
Received healthy response to inference request in 1.3752353191375732s
Received healthy response to inference request in 1.4219605922698975s
Received healthy response to inference request in 1.4306797981262207s
5 requests
0 failed requests
5th percentile: 1.384580373764038
10th percentile: 1.393925428390503
20th percentile: 1.4126155376434326
30th percentile: 1.4222809314727782
40th percentile: 1.42292160987854
50th percentile: 1.4235622882843018
60th percentile: 1.4264092922210694
70th percentile: 1.429256296157837
80th percentile: 1.6325009346008303
90th percentile: 2.0361432075500487
95th percentile: 2.237964344024658
99th percentile: 2.3994212532043457
mean time: 1.6182446956634522
Pipeline stage StressChecker completed in 8.84s
trace2333-fd-llama3-v4_v6 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v4_v6 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v4_v6 status is now torndown due to DeploymentManager action