developer_uid: Trace2333
submission_id: trace2333-fd-llama3-v4_v7
model_name: trace2333-fd-llama3-v4_v7
model_group: Trace2333/fd_llama3_v4
status: torndown
timestamp: 2024-08-07T14:34:25+00:00
num_battles: 15686
num_wins: 7321
celo_rating: 1194.24
family_friendly_score: 0.0
submission_type: basic
model_repo: Trace2333/fd_llama3_v4
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-v4_v7
is_internal_developer: False
language_model: Trace2333/fd_llama3_v4
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-07
win_ratio: 0.4667219176335586
generation_params: {'temperature': 1.15, 'top_p': 1.0, '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}
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': '{bot_name}: {message}\n', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\nYou: {message}<|eot_id|>', 'response_template': '{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-v4-v7-mkmlizer
Waiting for job on trace2333-fd-llama3-v4-v7-mkmlizer to finish
trace2333-fd-llama3-v4-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v4-v7-mkmlizer: ║ _____ __ __ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ /___/ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ Version: 0.9.9 ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ belonging to: ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-llama3-v4-v7-mkmlizer: ║ ║
trace2333-fd-llama3-v4-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v4-v7-mkmlizer: Downloaded to shared memory in 43.210s
trace2333-fd-llama3-v4-v7-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpyh3lkz2x, device:0
trace2333-fd-llama3-v4-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v4-v7-mkmlizer: quantized model in 28.731s
trace2333-fd-llama3-v4-v7-mkmlizer: Processed model Trace2333/fd_llama3_v4 in 71.941s
trace2333-fd-llama3-v4-v7-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v4-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v4-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v7
trace2333-fd-llama3-v4-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v7/special_tokens_map.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v7/config.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v7/tokenizer_config.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v7/tokenizer.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v4-v7/flywheel_model.0.safetensors
trace2333-fd-llama3-v4-v7-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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trace2333-fd-llama3-v4-v7-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-v7-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-v7-mkmlizer: warnings.warn(
trace2333-fd-llama3-v4-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v4-v7-mkmlizer: Saving duration: 1.427s
trace2333-fd-llama3-v4-v7-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.821s
trace2333-fd-llama3-v4-v7-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v4-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v4-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/tokenizer_config.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/special_tokens_map.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/config.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/merges.txt
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/vocab.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/tokenizer.json
trace2333-fd-llama3-v4-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v4-v7_reward/reward.tensors
Job trace2333-fd-llama3-v4-v7-mkmlizer completed after 125.55s with status: succeeded
Stopping job with name trace2333-fd-llama3-v4-v7-mkmlizer
Pipeline stage MKMLizer completed in 126.72s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v4-v7
Waiting for inference service trace2333-fd-llama3-v4-v7 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service trace2333-fd-llama3-v4-v7 ready after 191.33041763305664s
Pipeline stage ISVCDeployer completed in 192.98s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4488959312438965s
Received healthy response to inference request in 1.3023736476898193s
Received healthy response to inference request in 1.3869950771331787s
Received healthy response to inference request in 1.4321973323822021s
Received healthy response to inference request in 1.369131088256836s
5 requests
0 failed requests
5th percentile: 1.3157251358032227
10th percentile: 1.329076623916626
20th percentile: 1.3557796001434326
30th percentile: 1.3727038860321046
40th percentile: 1.3798494815826416
50th percentile: 1.3869950771331787
60th percentile: 1.405075979232788
70th percentile: 1.4231568813323974
80th percentile: 1.6355370521545411
90th percentile: 2.042216491699219
95th percentile: 2.2455562114715573
99th percentile: 2.4082279872894286
mean time: 1.5879186153411866
Pipeline stage StressChecker completed in 8.76s
trace2333-fd-llama3-v4_v7 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v4_v7 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v4_v7 status is now torndown due to DeploymentManager action