submission_id: hastagaras-jamet-8b-l3-m_1276_v3
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.V-BR1
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 1.05, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 60, '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': "<|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: 2024-06-06T21:51:06+00:00
model_name: br1
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 8188
num_wins: 4441
celo_rating: 1217.8
propriety_score: 0.6990990990990991
propriety_total_count: 555.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: br1
ineligible_reason: propriety_total_count < 5000
language_model: Hastagaras/Jamet-8B-L3-MK.V-BR1
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-06
win_ratio: 0.5423790913531998
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer to finish
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hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: ║ Version: 0.8.14 ║
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: ║ https://mk1.ai ║
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hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: ║ Chai Research Corp. ║
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hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-m-1276-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.
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Downloaded to shared memory in 63.361s
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:21, 2.36s/it] Loading 0: 5%|▍ | 14/291 [00:04<01:10, 3.93it/s] Loading 0: 9%|▉ | 27/291 [00:04<00:29, 8.99it/s] Loading 0: 14%|█▍ | 41/291 [00:05<00:15, 15.94it/s] Loading 0: 19%|█▊ | 54/291 [00:05<00:09, 24.06it/s] Loading 0: 23%|██▎ | 66/291 [00:05<00:08, 27.05it/s] Loading 0: 26%|██▋ | 77/291 [00:05<00:06, 34.72it/s] Loading 0: 31%|███▏ | 91/291 [00:05<00:04, 47.21it/s] Loading 0: 36%|███▌ | 104/291 [00:05<00:03, 58.12it/s] Loading 0: 40%|████ | 117/291 [00:05<00:02, 70.11it/s] Loading 0: 45%|████▌ | 131/291 [00:06<00:01, 80.94it/s] Loading 0: 50%|████▉ | 145/291 [00:06<00:01, 92.64it/s] Loading 0: 54%|█████▍ | 158/291 [00:06<00:01, 98.69it/s] Loading 0: 58%|█████▊ | 170/291 [00:06<00:01, 66.70it/s] Loading 0: 63%|██████▎ | 184/291 [00:06<00:01, 79.13it/s] Loading 0: 67%|██████▋ | 195/291 [00:06<00:01, 83.31it/s] Loading 0: 73%|███████▎ | 211/291 [00:06<00:00, 99.23it/s] Loading 0: 77%|███████▋ | 223/291 [00:07<00:00, 101.45it/s] Loading 0: 82%|████████▏ | 238/291 [00:07<00:00, 111.77it/s] Loading 0: 86%|████████▋ | 251/291 [00:07<00:00, 111.35it/s] Loading 0: 91%|█████████ | 265/291 [00:07<00:00, 116.51it/s] Loading 0: 96%|█████████▌| 278/291 [00:07<00:00, 73.37it/s] Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: quantized model in 23.839s
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.V-BR1 in 89.685s
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v3
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v3/config.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v3/tokenizer_config.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v3/special_tokens_map.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v3/tokenizer.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-1276-v3/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-m-1276-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.
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-1276-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.
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-1276-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.
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-1276-v3-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-m-1276-v3-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Saving duration: 0.390s
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 12.499s
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/config.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/vocab.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/merges.txt
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/tokenizer.json
hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-1276-v3_reward/reward.tensors
Job hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer completed after 126.61s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-m-1276-v3-mkmlizer
Pipeline stage MKMLizer completed in 130.01s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-m-1276-v3
Waiting for inference service hastagaras-jamet-8b-l3-m-1276-v3 to be ready
Inference service hastagaras-jamet-8b-l3-m-1276-v3 ready after 90.65249681472778s
Pipeline stage ISVCDeployer completed in 98.07s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1558961868286133s
Received healthy response to inference request in 1.3633863925933838s
Received healthy response to inference request in 1.3540892601013184s
Received healthy response to inference request in 1.2940642833709717s
Received healthy response to inference request in 1.2414662837982178s
5 requests
0 failed requests
5th percentile: 1.2519858837127686
10th percentile: 1.2625054836273193
20th percentile: 1.2835446834564208
30th percentile: 1.306069278717041
40th percentile: 1.3300792694091796
50th percentile: 1.3540892601013184
60th percentile: 1.3578081130981445
70th percentile: 1.3615269660949707
80th percentile: 1.5218883514404298
90th percentile: 1.8388922691345215
95th percentile: 1.9973942279815673
99th percentile: 2.124195795059204
mean time: 1.481780481338501
Pipeline stage StressChecker completed in 8.01s
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-m_1276_v3 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-m_1276_v3 status is now inactive due to auto deactivation removed underperforming models

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