submission_id: cgato-l3-thespice-8b-v3-2_v1
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': 0.8, 'top_p': 0.9, 'min_p': 0.0, 'top_k': 40, '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: 2024-05-08T11:24:39+00:00
model_name: cgato-l3-thespice-8b-v3-2_v1
model_eval_status: success
double_thumbs_up: 211
thumbs_up: 314
thumbs_down: 139
num_battles: 19122
num_wins: 10052
celo_rating: 1194.98
entertaining: 6.74
stay_in_character: 8.44
user_preference: 7.12
safety_score: 0.92
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_v1
double_thumbs_up_ratio: 0.3177710843373494
feedback_count: 664
ineligible_reason: None
language_model: cgato/L3-TheSpice-8b-v3.2
model_score: 7.433333333333334
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.47289156626506024
thumbs_down_ratio: 0.20933734939759036
thumbs_up_ratio: 0.7906626506024096
us_pacific_date: 2024-05-08
win_ratio: 0.5256772304152285
Resubmit model
Running pipeline stage MKMLizer
Starting job with name cgato-l3-thespice-8b-v3-2-v1-mkmlizer
Waiting for job on cgato-l3-thespice-8b-v3-2-v1-mkmlizer to finish
Failed to get response for submission blend_kefet_2024-05-01: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:33254->127.0.0.1:8080: read: connection reset by peer\n')
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ _____ __ __ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ /___/ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ Version: 0.8.10 ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ The license key for the current software has been verified as ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ belonging to: ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ Chai Research Corp. ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ║ ║
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
cgato-l3-thespice-8b-v3-2-v1-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-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: Downloaded to shared memory in 31.110s
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: quantizing model to /dev/shm/model_cache
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Failed to get response for submission hastagaras-l3-8b-dahlah-2_v1: ('http://hastagaras-l3-8b-dahlah-2-v1-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:45558->127.0.0.1:8080: read: connection reset by peer\n')
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:01, 119.81it/s] Loading 0: 84%|████████▍ | 244/291 [00:02<00:00, 121.59it/s] Loading 0: 99%|█████████▊| 287/291 [00:07<00:00, 27.28it/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-v1-mkmlizer: quantized model in 23.656s
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: Processed model cgato/L3-TheSpice-8b-v3.2 in 57.292s
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v1
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v1/config.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v1/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v1/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v1/tokenizer.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/cgato-l3-thespice-8b-v3-2-v1/flywheel_model.0.safetensors
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
cgato-l3-thespice-8b-v3-2-v1-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-l3-thespice-8b-v3-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v1-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-l3-thespice-8b-v3-2-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v1-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-v1-mkmlizer: warnings.warn(
cgato-l3-thespice-8b-v3-2-v1-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-v1-mkmlizer: return self.fget.__get__(instance, owner)()
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: creating bucket guanaco-reward-models
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/config.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/special_tokens_map.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/tokenizer_config.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/vocab.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/merges.txt
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/tokenizer.json
cgato-l3-thespice-8b-v3-2-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/cgato-l3-thespice-8b-v3-2-v1_reward/reward.tensors
Job cgato-l3-thespice-8b-v3-2-v1-mkmlizer completed after 83.18s with status: succeeded
Stopping job with name cgato-l3-thespice-8b-v3-2-v1-mkmlizer
Pipeline stage MKMLizer completed in 87.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service cgato-l3-thespice-8b-v3-2-v1
Waiting for inference service cgato-l3-thespice-8b-v3-2-v1 to be ready
Inference service cgato-l3-thespice-8b-v3-2-v1 ready after 170.85242557525635s
Pipeline stage ISVCDeployer completed in 178.68s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.2777552604675293s
Received healthy response to inference request in 1.2794463634490967s
Received healthy response to inference request in 1.2897469997406006s
Received healthy response to inference request in 1.2880122661590576s
Received healthy response to inference request in 1.2900645732879639s
5 requests
0 failed requests
5th percentile: 1.2811595439910888
10th percentile: 1.282872724533081
20th percentile: 1.2862990856170655
30th percentile: 1.2883592128753663
40th percentile: 1.2890531063079833
50th percentile: 1.2897469997406006
60th percentile: 1.2898740291595459
70th percentile: 1.2900010585784911
80th percentile: 1.4876027107238772
90th percentile: 1.8826789855957031
95th percentile: 2.080217123031616
99th percentile: 2.2382476329803467
mean time: 1.4850050926208496
Pipeline stage StressChecker completed in 8.05s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Running M-Eval for topic stay_in_character
Pipeline stage DaemonicSafetyScorer completed in 0.04s
M-Eval Dataset for topic stay_in_character is loaded
cgato-l3-thespice-8b-v3-2_v1 status is now deployed due to DeploymentManager action
cgato-l3-thespice-8b-v3-2_v1 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics