submission_id: hastagaras-anjir-8b-l3_v7
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Anjir-8B-L3
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, 'top_k': 100, '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: 2024-06-11T06:00:59+00:00
model_name: propriety-test
model_eval_status: success
model_group: Hastagaras/Anjir-8B-L3
num_battles: 10487
num_wins: 5885
celo_rating: 1222.72
propriety_score: 0.6647587898609976
propriety_total_count: 3669.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: propriety-test
ineligible_reason: None
language_model: Hastagaras/Anjir-8B-L3
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-10
win_ratio: 0.561170973586345
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-anjir-8b-l3-v7-mkmlizer
Waiting for job on hastagaras-anjir-8b-l3-v7-mkmlizer to finish
hastagaras-anjir-8b-l3-v7-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-anjir-8b-l3-v7-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-anjir-8b-l3-v7-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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hastagaras-anjir-8b-l3-v7-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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hastagaras-anjir-8b-l3-v7-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-anjir-8b-l3-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-anjir-8b-l3-v7-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-anjir-8b-l3-v7-mkmlizer: Downloaded to shared memory in 18.948s
hastagaras-anjir-8b-l3-v7-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-anjir-8b-l3-v7-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-anjir-8b-l3-v7-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:05<12:02, 2.50s/it] Loading 0: 4%|▍ | 13/291 [00:05<01:20, 3.44it/s] Loading 0: 8%|▊ | 24/291 [00:05<00:35, 7.49it/s] Loading 0: 14%|█▍ | 41/291 [00:05<00:15, 15.75it/s] Loading 0: 20%|█▉ | 58/291 [00:05<00:08, 26.01it/s] Loading 0: 24%|██▍ | 71/291 [00:05<00:08, 25.03it/s] Loading 0: 30%|██▉ | 86/291 [00:06<00:05, 34.98it/s] Loading 0: 35%|███▍ | 101/291 [00:06<00:04, 46.94it/s] Loading 0: 39%|███▉ | 113/291 [00:06<00:03, 56.35it/s] Loading 0: 45%|████▍ | 130/291 [00:06<00:02, 72.45it/s] Loading 0: 49%|████▉ | 143/291 [00:06<00:01, 82.20it/s] Loading 0: 54%|█████▍ | 158/291 [00:06<00:01, 93.58it/s] Loading 0: 59%|█████▉ | 171/291 [00:07<00:01, 62.58it/s] Loading 0: 64%|██████▎ | 185/291 [00:07<00:01, 74.02it/s] Loading 0: 69%|██████▊ | 200/291 [00:07<00:01, 88.13it/s] Loading 0: 73%|███████▎ | 213/291 [00:07<00:00, 93.49it/s] Loading 0: 79%|███████▊ | 229/291 [00:07<00:00, 108.00it/s] Loading 0: 83%|████████▎ | 242/291 [00:07<00:00, 111.11it/s] Loading 0: 88%|████████▊ | 257/291 [00:07<00:00, 116.37it/s] Loading 0: 93%|█████████▎| 270/291 [00:08<00:00, 67.14it/s] Loading 0: 98%|█████████▊| 284/291 [00:08<00:00, 77.58it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-anjir-8b-l3-v7-mkmlizer: quantized model in 20.238s
hastagaras-anjir-8b-l3-v7-mkmlizer: Processed model Hastagaras/Anjir-8B-L3 in 40.466s
hastagaras-anjir-8b-l3-v7-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-anjir-8b-l3-v7-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-anjir-8b-l3-v7-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-v7
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-v7/special_tokens_map.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-v7/config.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-v7/tokenizer_config.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-v7/tokenizer.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-anjir-8b-l3-v7/flywheel_model.0.safetensors
hastagaras-anjir-8b-l3-v7-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-anjir-8b-l3-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-anjir-8b-l3-v7-mkmlizer: warnings.warn(
hastagaras-anjir-8b-l3-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-anjir-8b-l3-v7-mkmlizer: warnings.warn(
hastagaras-anjir-8b-l3-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-anjir-8b-l3-v7-mkmlizer: warnings.warn(
hastagaras-anjir-8b-l3-v7-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-anjir-8b-l3-v7-mkmlizer: Saving duration: 0.267s
hastagaras-anjir-8b-l3-v7-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.661s
hastagaras-anjir-8b-l3-v7-mkmlizer: creating bucket guanaco-reward-models
hastagaras-anjir-8b-l3-v7-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-anjir-8b-l3-v7-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/config.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/special_tokens_map.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/vocab.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/tokenizer_config.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/merges.txt
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/tokenizer.json
hastagaras-anjir-8b-l3-v7-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-anjir-8b-l3-v7_reward/reward.tensors
Job hastagaras-anjir-8b-l3-v7-mkmlizer completed after 64.41s with status: succeeded
Stopping job with name hastagaras-anjir-8b-l3-v7-mkmlizer
Pipeline stage MKMLizer completed in 68.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-anjir-8b-l3-v7
Waiting for inference service hastagaras-anjir-8b-l3-v7 to be ready
Inference service hastagaras-anjir-8b-l3-v7 ready after 40.280471086502075s
Pipeline stage ISVCDeployer completed in 48.34s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1626839637756348s
Received healthy response to inference request in 1.3356127738952637s
Received healthy response to inference request in 1.2998793125152588s
Received healthy response to inference request in 1.258204460144043s
Received healthy response to inference request in 1.344773292541504s
5 requests
0 failed requests
5th percentile: 1.2665394306182862
10th percentile: 1.2748744010925293
20th percentile: 1.2915443420410155
30th percentile: 1.3070260047912599
40th percentile: 1.3213193893432618
50th percentile: 1.3356127738952637
60th percentile: 1.3392769813537597
70th percentile: 1.3429411888122558
80th percentile: 1.5083554267883303
90th percentile: 1.8355196952819826
95th percentile: 1.9991018295288083
99th percentile: 2.1299675369262694
mean time: 1.4802307605743408
Pipeline stage StressChecker completed in 8.00s
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
hastagaras-anjir-8b-l3_v7 status is now deployed due to DeploymentManager action
hastagaras-anjir-8b-l3_v7 status is now inactive due to auto deactivation removed underperforming models

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