developer_uid: Trace2333
submission_id: trace2333-fd-llama3-v3-nall_v2
model_name: trace2333-fd-llama3-v3-nall_v2
model_group: Trace2333/fd_llama3_v3_N
status: torndown
timestamp: 2024-08-05T02:30:16+00:00
num_battles: 9925
num_wins: 4929
celo_rating: 1198.38
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_v2
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: 0.496624685138539
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\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-v2-mkmlizer
Waiting for job on trace2333-fd-llama3-v3-nall-v2-mkmlizer to finish
Stopping job with name trace2333-fd-llama3-v3-nall-v2-mkmlizer
%s, retrying in %s seconds...
Starting job with name trace2333-fd-llama3-v3-nall-v2-mkmlizer
Waiting for job on trace2333-fd-llama3-v3-nall-v2-mkmlizer to finish
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ _____ __ __ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ /___/ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ Version: 0.9.9 ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ https://mk1.ai ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ The license key for the current software has been verified as ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ belonging to: ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ Chai Research Corp. ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ║ ║
trace2333-fd-llama3-v3-nall-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Downloaded to shared memory in 55.522s
trace2333-fd-llama3-v3-nall-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp8rosqy_d, device:0
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
trace2333-fd-llama3-v3-nall-v2-mkmlizer: quantized model in 29.025s
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Processed model Trace2333/fd_llama3_v3_Nall in 84.547s
trace2333-fd-llama3-v3-nall-v2-mkmlizer: creating bucket guanaco-mkml-models
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
trace2333-fd-llama3-v3-nall-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v2
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v2/config.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v2/special_tokens_map.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v2/tokenizer_config.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/trace2333-fd-llama3-v3-nall-v2/flywheel_model.0.safetensors
trace2333-fd-llama3-v3-nall-v2-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
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trace2333-fd-llama3-v3-nall-v2-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-nall-v2-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-v2-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-nall-v2-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-v2-mkmlizer: warnings.warn(
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Saving duration: 1.378s
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 11.397s
trace2333-fd-llama3-v3-nall-v2-mkmlizer: creating bucket guanaco-reward-models
trace2333-fd-llama3-v3-nall-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
trace2333-fd-llama3-v3-nall-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v2_reward
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v2_reward/config.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v2_reward/special_tokens_map.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v2_reward/tokenizer_config.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v2_reward/tokenizer.json
trace2333-fd-llama3-v3-nall-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/trace2333-fd-llama3-v3-nall-v2_reward/reward.tensors
Job trace2333-fd-llama3-v3-nall-v2-mkmlizer completed after 125.35s with status: succeeded
Stopping job with name trace2333-fd-llama3-v3-nall-v2-mkmlizer
Pipeline stage MKMLizer completed in 126.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service trace2333-fd-llama3-v3-nall-v2
Waiting for inference service trace2333-fd-llama3-v3-nall-v2 to be ready
Inference service trace2333-fd-llama3-v3-nall-v2 ready after 171.01376461982727s
Pipeline stage ISVCDeployer completed in 172.86s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.221675157546997s
Received healthy response to inference request in 1.4634714126586914s
Received healthy response to inference request in 1.466325283050537s
Received healthy response to inference request in 1.3766438961029053s
Received healthy response to inference request in 1.3817224502563477s
5 requests
0 failed requests
5th percentile: 1.3776596069335938
10th percentile: 1.3786753177642823
20th percentile: 1.3807067394256591
30th percentile: 1.3980722427368164
40th percentile: 1.430771827697754
50th percentile: 1.4634714126586914
60th percentile: 1.4646129608154297
70th percentile: 1.465754508972168
80th percentile: 1.6173952579498292
90th percentile: 1.9195352077484131
95th percentile: 2.070605182647705
99th percentile: 2.1914611625671387
mean time: 1.5819676399230957
Pipeline stage StressChecker completed in 8.59s
trace2333-fd-llama3-v3-nall_v2 status is now deployed due to DeploymentManager action
trace2333-fd-llama3-v3-nall_v2 status is now inactive due to auto deactivation removed underperforming models
trace2333-fd-llama3-v3-nall_v2 status is now torndown due to DeploymentManager action