submission_id: revile-troubadour-l3-8b_v4
developer_uid: Revile
status: inactive
model_repo: Revile/Troubadour-L3-8B
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.1, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 100, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['<', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64}
formatter: {'memory_template': "<|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: 2024-06-17T18:26:34+00:00
model_name: revile-troubadour-l3-8b_ooops
model_eval_status: success
model_group: Revile/Troubadour-L3-8B
num_battles: 16327
num_wins: 9077
celo_rating: 1206.39
propriety_score: 0.7057519238293988
propriety_total_count: 7667.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: revile-troubadour-l3-8b_ooops
ineligible_reason: None
language_model: Revile/Troubadour-L3-8B
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-17
win_ratio: 0.5559502664298401
Resubmit model
Running pipeline stage MKMLizer
Starting job with name revile-troubadour-l3-8b-v4-mkmlizer
Waiting for job on revile-troubadour-l3-8b-v4-mkmlizer to finish
revile-troubadour-l3-8b-v4-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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revile-troubadour-l3-8b-v4-mkmlizer: ║ ║
revile-troubadour-l3-8b-v4-mkmlizer: ║ Version: 0.8.14 ║
revile-troubadour-l3-8b-v4-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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revile-troubadour-l3-8b-v4-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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revile-troubadour-l3-8b-v4-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
revile-troubadour-l3-8b-v4-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.
revile-troubadour-l3-8b-v4-mkmlizer: warnings.warn(warning_message, FutureWarning)
revile-troubadour-l3-8b-v4-mkmlizer: Downloaded to shared memory in 62.919s
revile-troubadour-l3-8b-v4-mkmlizer: quantizing model to /dev/shm/model_cache
revile-troubadour-l3-8b-v4-mkmlizer: Saving flywheel model at /dev/shm/model_cache
revile-troubadour-l3-8b-v4-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:46, 2.44s/it] Loading 0: 4%|▍ | 13/291 [00:04<01:19, 3.52it/s] Loading 0: 8%|▊ | 23/291 [00:05<00:36, 7.27it/s] Loading 0: 12%|█▏ | 35/291 [00:05<00:19, 13.21it/s] Loading 0: 17%|█▋ | 49/291 [00:05<00:11, 21.90it/s] Loading 0: 21%|██ | 60/291 [00:05<00:10, 23.03it/s] Loading 0: 26%|██▌ | 76/291 [00:05<00:06, 34.87it/s] Loading 0: 30%|██▉ | 87/291 [00:05<00:04, 42.35it/s] Loading 0: 35%|███▌ | 103/291 [00:06<00:03, 56.97it/s] Loading 0: 39%|███▉ | 114/291 [00:06<00:02, 62.99it/s] Loading 0: 45%|████▍ | 130/291 [00:06<00:02, 77.95it/s] Loading 0: 49%|████▉ | 142/291 [00:06<00:01, 82.35it/s] Loading 0: 54%|█████▍ | 157/291 [00:06<00:01, 94.25it/s] Loading 0: 58%|█████▊ | 169/291 [00:06<00:02, 59.18it/s] Loading 0: 63%|██████▎ | 184/291 [00:07<00:01, 71.86it/s] Loading 0: 67%|██████▋ | 195/291 [00:07<00:01, 75.78it/s] Loading 0: 73%|███████▎ | 211/291 [00:07<00:00, 89.79it/s] Loading 0: 76%|███████▋ | 222/291 [00:07<00:00, 90.07it/s] Loading 0: 81%|████████▏ | 237/291 [00:07<00:00, 103.80it/s] Loading 0: 86%|████████▌ | 249/291 [00:07<00:00, 96.81it/s] Loading 0: 91%|█████████ | 265/291 [00:07<00:00, 106.59it/s] Loading 0: 95%|█████████▌| 277/291 [00:08<00:00, 62.79it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
revile-troubadour-l3-8b-v4-mkmlizer: quantized model in 24.856s
revile-troubadour-l3-8b-v4-mkmlizer: Processed model Revile/Troubadour-L3-8B in 90.625s
revile-troubadour-l3-8b-v4-mkmlizer: creating bucket guanaco-mkml-models
revile-troubadour-l3-8b-v4-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
revile-troubadour-l3-8b-v4-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/revile-troubadour-l3-8b-v4
revile-troubadour-l3-8b-v4-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/revile-troubadour-l3-8b-v4/config.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/revile-troubadour-l3-8b-v4/tokenizer_config.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/revile-troubadour-l3-8b-v4/special_tokens_map.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/revile-troubadour-l3-8b-v4/tokenizer.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/revile-troubadour-l3-8b-v4/flywheel_model.0.safetensors
revile-troubadour-l3-8b-v4-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
revile-troubadour-l3-8b-v4-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.
revile-troubadour-l3-8b-v4-mkmlizer: warnings.warn(
revile-troubadour-l3-8b-v4-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.
revile-troubadour-l3-8b-v4-mkmlizer: warnings.warn(
revile-troubadour-l3-8b-v4-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()
revile-troubadour-l3-8b-v4-mkmlizer: return self.fget.__get__(instance, owner)()
revile-troubadour-l3-8b-v4-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
revile-troubadour-l3-8b-v4-mkmlizer: Saving duration: 0.446s
revile-troubadour-l3-8b-v4-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 17.328s
revile-troubadour-l3-8b-v4-mkmlizer: creating bucket guanaco-reward-models
revile-troubadour-l3-8b-v4-mkmlizer: WARNING: Retrying failed request: / ([Errno 110] Connection timed out)
revile-troubadour-l3-8b-v4-mkmlizer: WARNING: Waiting 3 sec...
revile-troubadour-l3-8b-v4-mkmlizer: Bucket 's3://guanaco-reward-models/' created
revile-troubadour-l3-8b-v4-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/config.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/special_tokens_map.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/tokenizer_config.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/merges.txt
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/vocab.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/tokenizer.json
revile-troubadour-l3-8b-v4-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/revile-troubadour-l3-8b-v4_reward/reward.tensors
Job revile-troubadour-l3-8b-v4-mkmlizer completed after 269.32s with status: succeeded
Stopping job with name revile-troubadour-l3-8b-v4-mkmlizer
Pipeline stage MKMLizer completed in 272.45s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service revile-troubadour-l3-8b-v4
Waiting for inference service revile-troubadour-l3-8b-v4 to be ready
Inference service revile-troubadour-l3-8b-v4 ready after 151.03855395317078s
Pipeline stage ISVCDeployer completed in 158.39s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.267411231994629s
Received healthy response to inference request in 1.2790277004241943s
%s, retrying in %s seconds...
Received healthy response to inference request in 1.3041021823883057s
Received healthy response to inference request in 1.2855019569396973s
Received healthy response to inference request in 19.874322414398193s
Received healthy response to inference request in 1.3438971042633057s
Received healthy response to inference request in 1.3033108711242676s
5 requests
0 failed requests
5th percentile: 1.2890637397766114
10th percentile: 1.2926255226135255
20th percentile: 1.2997490882873535
30th percentile: 1.3034691333770752
40th percentile: 1.3037856578826905
50th percentile: 1.3041021823883057
60th percentile: 1.3200201511383056
70th percentile: 1.3359381198883056
80th percentile: 5.049982166290286
90th percentile: 12.462152290344239
95th percentile: 16.168237352371214
99th percentile: 19.133105401992797
mean time: 5.0222269058227536
Pipeline stage StressChecker completed in 49.43s
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 0.05s
M-Eval Dataset for topic stay_in_character is loaded
revile-troubadour-l3-8b_v4 status is now deployed due to DeploymentManager action
revile-troubadour-l3-8b_v4 status is now inactive due to auto deactivation removed underperforming models

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