submission_id: hastagaras-jamet-8b-l3-mk-i_v7
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.I
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.085, 'top_k': 80, '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': "<|begin_of_text|><|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\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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: 2024-06-15T23:38:19+00:00
model_name: p
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 11109
num_wins: 6102
celo_rating: 1207.56
propriety_score: 0.6886158571702822
propriety_total_count: 5209.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: p
ineligible_reason: None
language_model: Hastagaras/Jamet-8B-L3-MK.I
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-15
win_ratio: 0.5492843640291656
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer to finish
Retrying (%r) after connection broken by '%r': %s
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ _____ __ __ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ /___/ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ https://mk1.ai ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ The license key for the current software has been verified as ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ belonging to: ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ Chai Research Corp. ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ║ ║
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-mk-i-v7-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.
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Downloaded to shared memory in 66.266s
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 3%|▎ | 8/291 [00:00<00:03, 78.03it/s] Loading 0: 6%|▌ | 18/291 [00:00<00:03, 87.96it/s] Loading 0: 10%|█ | 30/291 [00:00<00:02, 97.79it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 98.09it/s] Loading 0: 17%|█▋ | 50/291 [00:00<00:02, 96.48it/s] Loading 0: 23%|██▎ | 66/291 [00:00<00:02, 110.85it/s] Loading 0: 26%|██▋ | 77/291 [00:00<00:02, 98.20it/s] Loading 0: 30%|██▉ | 87/291 [00:01<00:03, 54.50it/s] Loading 0: 34%|███▍ | 99/291 [00:01<00:02, 65.88it/s] Loading 0: 38%|███▊ | 111/291 [00:01<00:02, 74.10it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:02, 79.56it/s] Loading 0: 46%|████▋ | 135/291 [00:01<00:01, 92.99it/s] Loading 0: 51%|█████ | 147/291 [00:01<00:01, 95.83it/s] Loading 0: 54%|█████▍ | 158/291 [00:01<00:01, 88.08it/s] Loading 0: 59%|█████▉ | 171/291 [00:01<00:01, 97.09it/s] Loading 0: 63%|██████▎ | 182/291 [00:02<00:01, 93.94it/s] Loading 0: 66%|██████▌ | 192/291 [00:02<00:01, 57.35it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 62.35it/s] Loading 0: 73%|███████▎ | 211/291 [00:02<00:01, 67.40it/s] Loading 0: 76%|███████▌ | 220/291 [00:02<00:00, 71.64it/s] Loading 0: 79%|███████▉ | 230/291 [00:02<00:00, 75.71it/s] Loading 0: 85%|████████▍ | 246/291 [00:03<00:00, 94.54it/s] Loading 0: 88%|████████▊ | 257/291 [00:03<00:00, 87.58it/s] Loading 0: 92%|█████████▏| 267/291 [00:03<00:00, 90.48it/s] Loading 0: 96%|█████████▌| 279/291 [00:03<00:00, 96.61it/s] Loading 0: 100%|█████████▉| 290/291 [00:09<00:00, 6.16it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: quantized model in 24.945s
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.I in 93.827s
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-i-v7
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-i-v7/config.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-i-v7/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-i-v7/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-i-v7/tokenizer.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-mk-i-v7/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-mk-i-v7-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.
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-i-v7-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.
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-i-v7-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.
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-mk-i-v7-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()
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Saving duration: 0.450s
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 13.928s
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/config.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/merges.txt
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/vocab.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/tokenizer.json
hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-mk-i-v7_reward/reward.tensors
Job hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer completed after 177.89s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-mk-i-v7-mkmlizer
Pipeline stage MKMLizer completed in 181.72s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-mk-i-v7
Waiting for inference service hastagaras-jamet-8b-l3-mk-i-v7 to be ready
Inference service hastagaras-jamet-8b-l3-mk-i-v7 ready after 40.346171140670776s
Pipeline stage ISVCDeployer completed in 47.99s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1776835918426514s
Received healthy response to inference request in 1.3709218502044678s
Received healthy response to inference request in 1.3268659114837646s
Received healthy response to inference request in 1.2969353199005127s
Received healthy response to inference request in 1.393521785736084s
5 requests
0 failed requests
5th percentile: 1.302921438217163
10th percentile: 1.3089075565338135
20th percentile: 1.3208797931671143
30th percentile: 1.3356770992279052
40th percentile: 1.3532994747161866
50th percentile: 1.3709218502044678
60th percentile: 1.3799618244171143
70th percentile: 1.3890017986297607
80th percentile: 1.5503541469573976
90th percentile: 1.8640188694000246
95th percentile: 2.0208512306213375
99th percentile: 2.146317119598389
mean time: 1.513185691833496
Pipeline stage StressChecker completed in 8.16s
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 0.04s
M-Eval Dataset for topic stay_in_character is loaded
hastagaras-jamet-8b-l3-mk-i_v7 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-mk-i_v7 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics