submission_id: cgato-l3-thespice-8b-v0-3-3_v1
developer_uid: c.gato
best_of: 8
celo_rating: 1042.1
display_name: cgato-l3-thespice-8b-v0-3-3_v1
family_friendly_score: 0.0
formatter: {'memory_template': "{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': 0.85, 'top_p': 0.75, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 64}
is_internal_developer: False
language_model: cgato/L3-TheSpice-8b-v0.3.3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v0.
model_name: cgato-l3-thespice-8b-v0-3-3_v1
model_num_parameters: 8030261248.0
model_repo: cgato/L3-TheSpice-8b-v0.3.3
model_size: 8B
num_battles: 6219
num_wins: 2376
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: ChaiML/reward_gpt2_medium_preference_24m_e2
status: torndown
submission_type: basic
timestamp: 2024-04-18T23:32:07+00:00
us_pacific_date: 2024-04-18
win_ratio: 0.38205499276411
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer to finish
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ Version: 0.6.11 ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Downloaded to shared memory in 28.488s
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Saving mkml model at /dev/shm/model_cache
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Reading /tmp/tmp4gie58fp/model.safetensors.index.json
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cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: quantized model in 27.297s
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Processed model cgato/L3-TheSpice-8b-v0.3.3 in 57.343s
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-3-3-v1
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-3-3-v1/config.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-3-3-v1/special_tokens_map.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-3-3-v1/tokenizer.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v0-3-3-v1/tokenizer_config.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: warnings.warn(
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cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: warnings.warn(
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cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 13.9MB/s]
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 12.9MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 12.9MB/s]
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: pytorch_model.bin: 0%| | 0.00/1.44G [00:00<?, ?B/s] pytorch_model.bin: 1%| | 10.5M/1.44G [00:00<00:22, 62.7MB/s] pytorch_model.bin: 3%|▎ | 41.9M/1.44G [00:00<00:12, 111MB/s] pytorch_model.bin: 7%|▋ | 105M/1.44G [00:00<00:05, 229MB/s] pytorch_model.bin: 9%|▉ | 136M/1.44G [00:00<00:07, 169MB/s] pytorch_model.bin: 11%|█ | 157M/1.44G [00:01<00:08, 153MB/s] pytorch_model.bin: 12%|█▏ | 178M/1.44G [00:01<00:08, 156MB/s] pytorch_model.bin: 18%|█▊ | 262M/1.44G [00:01<00:03, 297MB/s] pytorch_model.bin: 26%|██▌ | 377M/1.44G [00:01<00:02, 487MB/s] pytorch_model.bin: 54%|█████▍ | 786M/1.44G [00:01<00:00, 1.36GB/s] pytorch_model.bin: 73%|███████▎ | 1.05G/1.44G [00:01<00:00, 1.67GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 2.27GB/s] pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 839MB/s]
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Saving duration: 0.323s
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 6.093s
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/tokenizer_config.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/vocab.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/merges.txt
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/config.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/tokenizer.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/special_tokens_map.json
cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v0-3-3-v1_reward/reward.tensors
Job cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer completed after 95.87s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v0-3-3-v1-mkmlizer
Pipeline stage MKMLizer completed in 99.85s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.43s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v0-3-3-v1
Waiting for inference service cgato-l3-thespice-8b-v0-3-3-v1 to be ready
Inference service cgato-l3-thespice-8b-v0-3-3-v1 ready after 31.244876623153687s
Pipeline stage ISVCDeployer completed in 41.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.4949240684509277s
Received healthy response to inference request in 0.9068231582641602s
Received healthy response to inference request in 1.1646978855133057s
Received healthy response to inference request in 0.8140428066253662s
Received healthy response to inference request in 0.7555925846099854s
5 requests
0 failed requests
5th percentile: 0.7672826290130615
10th percentile: 0.7789726734161377
20th percentile: 0.80235276222229
30th percentile: 0.832598876953125
40th percentile: 0.8697110176086426
50th percentile: 0.9068231582641602
60th percentile: 1.0099730491638184
70th percentile: 1.1131229400634766
80th percentile: 1.23074312210083
90th percentile: 1.362833595275879
95th percentile: 1.4288788318634034
99th percentile: 1.481715021133423
mean time: 1.027216100692749
Pipeline stage StressChecker completed in 6.84s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.07s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.16s
cgato-l3-thespice-8b-v0-3-3_v1 status is now deployed due to DeploymentManager action
Scoring model output for bot %s
Scoring model output for bot %s
Scoring model output for bot %s
Scoring model output for bot %s
Scoring model output for bot %s
cgato-l3-thespice-8b-v0-3-3_v1 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of cgato-l3-thespice-8b-v0-3-3_v1
Running pipeline stage ISVCDeleter
Checking if service cgato-l3-thespice-8b-v0-3-3-v1 is running
Tearing down inference service cgato-l3-thespice-8b-v0-3-3-v1
Toredown service cgato-l3-thespice-8b-v0-3-3-v1
Pipeline stage ISVCDeleter completed in 5.00s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-3-3-v1/config.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1/tokenizer.json from bucket guanaco-mkml-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/merges.txt from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/reward.tensors from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key cgato-l3-thespice-8b-v0-3-3-v1_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 3.02s
cgato-l3-thespice-8b-v0-3-3_v1 status is now torndown due to DeploymentManager action