submission_id: hastagaras-jamet-8b-l3-m_3372_v1
developer_uid: Hastagaras
status: inactive
model_repo: Hastagaras/Jamet-8B-L3-MK.II-ABV
reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.95, 'top_p': 1.0, 'min_p': 0.08, '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': "<|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: 2024-06-05T07:39:08+00:00
model_name: a-bit-violence
model_eval_status: success
model_group: Hastagaras/Jamet-8B-L3-M
num_battles: 15791
num_wins: 8762
celo_rating: 1216.14
safety_score: 0.95
propriety_score: 0.6729166666666667
propriety_total_count: 480.0
submission_type: basic
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: a-bit-violence
ineligible_reason: propriety_total_count < 5000
language_model: Hastagaras/Jamet-8B-L3-MK.II-ABV
model_size: 8B
reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-05
win_ratio: 0.5548730289405357
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer
Waiting for job on hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer to finish
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: ║ Version: 0.8.14 ║
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hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hastagaras-jamet-8b-l3-m-3372-v1-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-3372-v1-mkmlizer: warnings.warn(warning_message, FutureWarning)
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Downloaded to shared memory in 31.269s
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: quantizing model to /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 4%|▍ | 12/291 [00:00<00:02, 110.59it/s] Loading 0: 8%|▊ | 24/291 [00:00<00:02, 110.93it/s] Loading 0: 14%|█▎ | 40/291 [00:00<00:02, 122.96it/s] Loading 0: 19%|█▉ | 55/291 [00:00<00:01, 132.79it/s] Loading 0: 24%|██▎ | 69/291 [00:00<00:01, 126.26it/s] Loading 0: 29%|██▊ | 83/291 [00:00<00:03, 64.64it/s] Loading 0: 32%|███▏ | 94/291 [00:01<00:02, 71.68it/s] Loading 0: 37%|███▋ | 109/291 [00:01<00:02, 87.49it/s] Loading 0: 42%|████▏ | 121/291 [00:01<00:01, 94.46it/s] Loading 0: 47%|████▋ | 138/291 [00:01<00:01, 109.42it/s] Loading 0: 52%|█████▏ | 151/291 [00:01<00:01, 112.02it/s] Loading 0: 57%|█████▋ | 166/291 [00:01<00:01, 117.90it/s] Loading 0: 62%|██████▏ | 181/291 [00:01<00:00, 120.66it/s] Loading 0: 67%|██████▋ | 194/291 [00:02<00:01, 62.42it/s] Loading 0: 72%|███████▏ | 210/291 [00:02<00:01, 77.86it/s] Loading 0: 76%|███████▋ | 222/291 [00:02<00:00, 85.30it/s] Loading 0: 82%|████████▏ | 238/291 [00:02<00:00, 98.23it/s] Loading 0: 87%|████████▋ | 253/291 [00:02<00:00, 109.77it/s] Loading 0: 92%|█████████▏| 267/291 [00:02<00:00, 109.77it/s] Loading 0: 97%|█████████▋| 281/291 [00:02<00:00, 116.38it/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-3372-v1-mkmlizer: quantized model in 20.104s
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Processed model Hastagaras/Jamet-8B-L3-MK.II-ABV in 52.608s
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: creating bucket guanaco-mkml-models
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-3372-v1
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-3372-v1/config.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-3372-v1/special_tokens_map.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-3372-v1/tokenizer_config.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-3372-v1/tokenizer.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/hastagaras-jamet-8b-l3-m-3372-v1/flywheel_model.0.safetensors
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hastagaras-jamet-8b-l3-m-3372-v1-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-3372-v1-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-3372-v1-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-3372-v1-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-3372-v1-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-3372-v1-mkmlizer: warnings.warn(
hastagaras-jamet-8b-l3-m-3372-v1-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-3372-v1-mkmlizer: return self.fget.__get__(instance, owner)()
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Saving duration: 0.247s
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.070s
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: creating bucket guanaco-reward-models
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/tokenizer_config.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/config.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/special_tokens_map.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/merges.txt
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/vocab.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/tokenizer.json
hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hastagaras-jamet-8b-l3-m-3372-v1_reward/reward.tensors
Job hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer completed after 72.8s with status: succeeded
Stopping job with name hastagaras-jamet-8b-l3-m-3372-v1-mkmlizer
Pipeline stage MKMLizer completed in 73.64s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service hastagaras-jamet-8b-l3-m-3372-v1
Waiting for inference service hastagaras-jamet-8b-l3-m-3372-v1 to be ready
Inference service hastagaras-jamet-8b-l3-m-3372-v1 ready after 30.177675485610962s
Pipeline stage ISVCDeployer completed in 37.66s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.201014280319214s
Received healthy response to inference request in 1.3307349681854248s
Received healthy response to inference request in 1.3354511260986328s
Received healthy response to inference request in 1.2960326671600342s
Received healthy response to inference request in 1.2409849166870117s
5 requests
0 failed requests
5th percentile: 1.2519944667816163
10th percentile: 1.2630040168762207
20th percentile: 1.2850231170654296
30th percentile: 1.3029731273651124
40th percentile: 1.3168540477752686
50th percentile: 1.3307349681854248
60th percentile: 1.332621431350708
70th percentile: 1.3345078945159912
80th percentile: 1.5085637569427492
90th percentile: 1.8547890186309814
95th percentile: 2.0279016494750977
99th percentile: 2.1663917541503905
mean time: 1.4808435916900635
Pipeline stage StressChecker completed in 8.02s
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-jamet-8b-l3-m_3372_v1 status is now deployed due to DeploymentManager action
hastagaras-jamet-8b-l3-m_3372_v1 status is now inactive due to auto deactivation removed underperforming models

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