submission_id: maldv-badger-kappa-llama-3-8b_v3
developer_uid: maldevide
status: inactive
model_repo: maldv/badger-kappa-llama-3-8b
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.01, 'stopping_words': ['\n', '###', '<|eot_id|>'], '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\nYou are {bot_name}, and are meeting {user_name}.\n\nMemory: {memory}', 'prompt_template': "{prompt}. *i'd better not say too much*<|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: 2024-06-05T16:39:14+00:00
model_name: maldv-badger-kappa-l3-8b_v1
model_eval_status: success
model_group: maldv/badger-kappa-llama
num_battles: 11399
num_wins: 5950
celo_rating: 1194.79
safety_score: 0.97
propriety_score: 0.6753246753246753
propriety_total_count: 462.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: maldv-badger-kappa-l3-8b_v1
ineligible_reason: propriety_total_count < 5000
language_model: maldv/badger-kappa-llama-3-8b
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-05
win_ratio: 0.5219756118957803
Resubmit model
Running pipeline stage MKMLizer
Starting job with name maldv-badger-kappa-llama-3-8b-v3-mkmlizer
Waiting for job on maldv-badger-kappa-llama-3-8b-v3-mkmlizer to finish
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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maldv-badger-kappa-llama-3-8b-v3-mkmlizer: ║ Version: 0.8.14 ║
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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maldv-badger-kappa-llama-3-8b-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
maldv-badger-kappa-llama-3-8b-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.
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Downloaded to shared memory in 27.676s
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: quantizing model to /dev/shm/model_cache
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:00<00:22, 12.90it/s] Loading 0: 4%|▍ | 13/291 [00:00<00:04, 58.60it/s] Loading 0: 11%|█ | 32/291 [00:00<00:03, 66.17it/s] Loading 0: 16%|█▋ | 48/291 [00:00<00:02, 89.11it/s] Loading 0: 21%|██▏ | 62/291 [00:00<00:03, 72.55it/s] Loading 0: 26%|██▌ | 75/291 [00:01<00:02, 82.63it/s] Loading 0: 30%|██▉ | 86/291 [00:01<00:02, 87.24it/s] Loading 0: 33%|███▎ | 96/291 [00:01<00:02, 65.01it/s] Loading 0: 38%|███▊ | 112/291 [00:01<00:02, 83.24it/s] Loading 0: 42%|████▏ | 123/291 [00:01<00:02, 62.85it/s] Loading 0: 46%|████▌ | 134/291 [00:01<00:02, 71.22it/s] Loading 0: 51%|█████ | 149/291 [00:01<00:01, 87.07it/s] Loading 0: 55%|█████▍ | 160/291 [00:02<00:01, 67.84it/s] Loading 0: 60%|█████▉ | 174/291 [00:02<00:01, 81.17it/s] Loading 0: 64%|██████▎ | 185/291 [00:02<00:01, 63.71it/s] Loading 0: 69%|██████▉ | 202/291 [00:02<00:01, 81.88it/s] Loading 0: 73%|███████▎ | 213/291 [00:02<00:01, 71.15it/s] Loading 0: 78%|███████▊ | 228/291 [00:03<00:00, 84.87it/s] Loading 0: 83%|████████▎ | 242/291 [00:03<00:00, 73.65it/s] Loading 0: 88%|████████▊ | 256/291 [00:03<00:00, 84.98it/s] Loading 0: 93%|█████████▎| 272/291 [00:08<00:02, 8.30it/s] Loading 0: 98%|█████████▊| 285/291 [00:08<00:00, 11.19it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: quantized model in 21.965s
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Processed model maldv/badger-kappa-llama-3-8b in 50.782s
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: creating bucket guanaco-mkml-models
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v3
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v3/config.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v3/special_tokens_map.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v3/tokenizer_config.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v3/tokenizer.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/maldv-badger-kappa-llama-3-8b-v3/flywheel_model.0.safetensors
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
maldv-badger-kappa-llama-3-8b-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.
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: warnings.warn(
maldv-badger-kappa-llama-3-8b-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.
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: warnings.warn(
maldv-badger-kappa-llama-3-8b-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.
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: warnings.warn(
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Saving duration: 0.303s
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 3.623s
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: creating bucket guanaco-reward-models
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/config.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/special_tokens_map.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/vocab.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/merges.txt
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/tokenizer_config.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/tokenizer.json
maldv-badger-kappa-llama-3-8b-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/maldv-badger-kappa-llama-3-8b-v3_reward/reward.tensors
Job maldv-badger-kappa-llama-3-8b-v3-mkmlizer completed after 73.82s with status: succeeded
Stopping job with name maldv-badger-kappa-llama-3-8b-v3-mkmlizer
Pipeline stage MKMLizer completed in 77.79s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service maldv-badger-kappa-llama-3-8b-v3
Waiting for inference service maldv-badger-kappa-llama-3-8b-v3 to be ready
Failed to get response for submission mistralai-mixtral-8x7b-_3473_v33: ('http://mistralai-mixtral-8x7b-3473-v33-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: overflow')
Inference service maldv-badger-kappa-llama-3-8b-v3 ready after 274.904901266098s
Pipeline stage ISVCDeployer completed in 281.87s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1206374168395996s
Received healthy response to inference request in 1.3519980907440186s
Received healthy response to inference request in 1.3306198120117188s
Received healthy response to inference request in 1.280442714691162s
Received healthy response to inference request in 1.3643853664398193s
5 requests
0 failed requests
5th percentile: 1.2904781341552733
10th percentile: 1.3005135536193848
20th percentile: 1.3205843925476075
30th percentile: 1.3348954677581788
40th percentile: 1.3434467792510987
50th percentile: 1.3519980907440186
60th percentile: 1.356953001022339
70th percentile: 1.3619079113006591
80th percentile: 1.5156357765197754
90th percentile: 1.8181365966796876
95th percentile: 1.9693870067596435
99th percentile: 2.090387334823608
mean time: 1.4896166801452637
Pipeline stage StressChecker completed in 8.11s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.03s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.06s
maldv-badger-kappa-llama-3-8b_v3 status is now deployed due to DeploymentManager action
maldv-badger-kappa-llama-3-8b_v3 status is now inactive due to auto deactivation removed underperforming models

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