submission_id: cgato-thespice-l3-8b-v0-_3216_v3
developer_uid: c.gato
status: inactive
model_repo: cgato/TheSpice-L3-8b-v0.3.2-Base
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', 'You:'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': '<|im_start|>system\n{memory}', 'prompt_template': '\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
reward_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': True}
timestamp: 2024-06-18T19:57:51+00:00
model_name: cgato-thespice-l3-8b-v0-_3216_v3
model_group: cgato/TheSpice-L3-8b-v0.
num_battles: 18383
num_wins: 9453
celo_rating: 1195.72
propriety_score: 0.7217197227769294
propriety_total_count: 8513.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030294016.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-thespice-l3-8b-v0-_3216_v3
ineligible_reason: None
language_model: cgato/TheSpice-L3-8b-v0.3.2-Base
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-18
win_ratio: 0.5142250992765055
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-thespice-l3-8b-v0-3216-v3-mkmlizer
Waiting for job on cgato-thespice-l3-8b-v0-3216-v3-mkmlizer to finish
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ _____ __ __ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ /___/ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ Version: 0.8.14 ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ https://mk1.ai ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ belonging to: ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ Chai Research Corp. ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ║ ║
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'list_files_info' (from 'huggingface_hub.hf_api') is deprecated and will be removed from version '0.23'. Use `list_repo_tree` and `get_paths_info` instead.
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Downloaded to shared memory in 191.665s
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 5%|▍ | 14/291 [00:00<00:02, 130.79it/s] Loading 0: 11%|█ | 31/291 [00:00<00:01, 152.67it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:01, 159.26it/s] Loading 0: 22%|██▏ | 64/291 [00:00<00:01, 158.73it/s] Loading 0: 27%|██▋ | 80/291 [00:00<00:01, 154.17it/s] Loading 0: 33%|███▎ | 96/291 [00:00<00:02, 74.91it/s] Loading 0: 39%|███▉ | 113/291 [00:01<00:01, 90.15it/s] Loading 0: 45%|████▍ | 130/291 [00:01<00:01, 105.97it/s] Loading 0: 51%|█████ | 147/291 [00:01<00:01, 119.63it/s] Loading 0: 56%|█████▌ | 162/291 [00:01<00:01, 126.86it/s] Loading 0: 62%|██████▏ | 180/291 [00:01<00:00, 135.76it/s] Loading 0: 67%|██████▋ | 196/291 [00:01<00:01, 81.31it/s] Loading 0: 73%|███████▎ | 212/291 [00:01<00:00, 93.35it/s] Loading 0: 79%|███████▉ | 230/291 [00:02<00:00, 107.56it/s] Loading 0: 85%|████████▌ | 248/291 [00:02<00:00, 120.01it/s] Loading 0: 91%|█████████▏| 266/291 [00:02<00:00, 129.92it/s] Loading 0: 97%|█████████▋| 283/291 [00:02<00:00, 139.31it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: quantized model in 23.904s
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Processed model cgato/TheSpice-L3-8b-v0.3.2-Base in 218.353s
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: creating bucket guanaco-mkml-models
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3216-v3
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3216-v3/config.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3216-v3/special_tokens_map.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3216-v3/tokenizer_config.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3216-v3/tokenizer.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-thespice-l3-8b-v0-3216-v3/flywheel_model.0.safetensors
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:913: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:757: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: warnings.warn(
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Saving duration: 0.416s
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 24.537s
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: creating bucket guanaco-reward-models
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/config.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/special_tokens_map.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/tokenizer_config.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/merges.txt
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/vocab.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/tokenizer.json
cgato-thespice-l3-8b-v0-3216-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-thespice-l3-8b-v0-3216-v3_reward/reward.tensors
Job cgato-thespice-l3-8b-v0-3216-v3-mkmlizer completed after 319.76s with status: succeeded
Stopping job with name cgato-thespice-l3-8b-v0-3216-v3-mkmlizer
Pipeline stage MKMLizer completed in 320.61s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-thespice-l3-8b-v0-3216-v3
Waiting for inference service cgato-thespice-l3-8b-v0-3216-v3 to be ready
Inference service cgato-thespice-l3-8b-v0-3216-v3 ready after 40.28986096382141s
Pipeline stage ISVCDeployer completed in 46.17s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.168895959854126s
Received healthy response to inference request in 1.3022637367248535s
Received healthy response to inference request in 5.48331356048584s
Received healthy response to inference request in 1.279921531677246s
Received healthy response to inference request in 1.2833888530731201s
5 requests
0 failed requests
5th percentile: 1.2806149959564208
10th percentile: 1.2813084602355957
20th percentile: 1.2826953887939454
30th percentile: 1.2871638298034669
40th percentile: 1.2947137832641602
50th percentile: 1.3022637367248535
60th percentile: 1.6489166259765624
70th percentile: 1.9955695152282713
80th percentile: 2.831779479980469
90th percentile: 4.157546520233154
95th percentile: 4.820430040359496
99th percentile: 5.350736856460571
mean time: 2.303556728363037
Pipeline stage StressChecker completed in 12.23s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.03s
cgato-thespice-l3-8b-v0-_3216_v3 status is now deployed due to DeploymentManager action
cgato-thespice-l3-8b-v0-_3216_v3 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics