submission_id: cgato-l3-thespice-8b-v3-2_v10
developer_uid: c.gato
status: inactive
model_repo: cgato/L3-TheSpice-8b-v3.2
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.25, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 200, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|im_start|>system\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{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': False}
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': False}
timestamp: 2024-05-16T00:59:33+00:00
model_name: cgato-l3-thespice-8b-v3-2_v9
model_eval_status: success
model_group: cgato/L3-TheSpice-8b-v3.
num_battles: 21878
num_wins: 11779
celo_rating: 1198.56
safety_score: 0.91
propriety_score: 0.0
propriety_total_count: 0.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030277632.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: cgato-l3-thespice-8b-v3-2_v9
ineligible_reason: propriety_total_count < 5000
language_model: cgato/L3-TheSpice-8b-v3.2
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-05-15
win_ratio: 0.5383947344364202
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-2-v10-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-2-v10-mkmlizer to finish
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ Version: 0.8.14 ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ https://mk1.ai ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-2-v10-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-l3-thespice-8b-v3-2-v10-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Downloaded to shared memory in 12.453s
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:02, 126.13it/s] Loading 0: 10%|█ | 30/291 [00:00<00:01, 140.25it/s] Loading 0: 15%|█▌ | 44/291 [00:00<00:01, 135.40it/s] Loading 0: 20%|█▉ | 58/291 [00:00<00:01, 134.81it/s] Loading 0: 26%|██▌ | 75/291 [00:00<00:01, 140.23it/s] Loading 0: 31%|███ | 89/291 [00:01<00:03, 65.19it/s] Loading 0: 35%|███▌ | 103/291 [00:01<00:02, 77.40it/s] Loading 0: 41%|████ | 120/291 [00:01<00:01, 93.19it/s] Loading 0: 46%|████▌ | 133/291 [00:01<00:01, 100.56it/s] Loading 0: 51%|█████ | 148/291 [00:01<00:01, 109.44it/s] Loading 0: 57%|█████▋ | 165/291 [00:01<00:01, 120.32it/s] Loading 0: 62%|██████▏ | 180/291 [00:01<00:00, 123.84it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:01, 68.64it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:00, 83.66it/s] Loading 0: 78%|███████▊ | 228/291 [00:02<00:00, 97.45it/s] Loading 0: 83%|████████▎ | 241/291 [00:02<00:00, 103.71it/s] Loading 0: 88%|████████▊ | 256/291 [00:02<00:00, 111.69it/s] Loading 0: 94%|█████████▍| 273/291 [00:02<00:00, 122.07it/s] Loading 0: 99%|█████████▊| 287/291 [00:08<00:00, 8.48it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: quantized model in 19.548s
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.2 in 33.071s
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: creating bucket guanaco-mkml-models
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v10
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v10/config.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v10/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v10/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v10/tokenizer.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v10/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-2-v10-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-l3-thespice-8b-v3-2-v10-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v10-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-l3-thespice-8b-v3-2-v10-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Saving duration: 0.241s
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.471s
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/config.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/vocab.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/merges.txt
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/tokenizer.json
cgato-l3-thespice-8b-v3-2-v10-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v10_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-2-v10-mkmlizer completed after 63.78s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-2-v10-mkmlizer
Pipeline stage MKMLizer completed in 68.81s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-2-v10
Waiting for inference service cgato-l3-thespice-8b-v3-2-v10 to be ready
Inference service cgato-l3-thespice-8b-v3-2-v10 ready after 40.50553059577942s
Pipeline stage ISVCDeployer completed in 48.66s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1831347942352295s
Received healthy response to inference request in 1.266369104385376s
Received healthy response to inference request in 1.2527563571929932s
Received healthy response to inference request in 1.2733280658721924s
Received healthy response to inference request in 1.2641913890838623s
5 requests
0 failed requests
5th percentile: 1.255043363571167
10th percentile: 1.2573303699493408
20th percentile: 1.2619043827056884
30th percentile: 1.264626932144165
40th percentile: 1.2654980182647706
50th percentile: 1.266369104385376
60th percentile: 1.2691526889801026
70th percentile: 1.2719362735748292
80th percentile: 1.4552894115448
90th percentile: 1.8192121028900148
95th percentile: 2.001173448562622
99th percentile: 2.146742525100708
mean time: 1.4479559421539308
Pipeline stage StressChecker completed in 7.88s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.03s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-2_v10 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-2_v10 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics