submission_id: mistralai-mixtral-8x7b-_3473_v31
developer_uid: alexdaoud
status: inactive
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. \n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-04-30T15:43:52+00:00
model_name: mistralai-mixtral-8x7b-_3473_v31
model_eval_status: success
double_thumbs_up: 87
thumbs_up: 138
thumbs_down: 63
num_battles: 8416
num_wins: 4315
celo_rating: 1166.52
entertaining: 7.14
stay_in_character: 8.6
user_preference: 7.38
safety_score: 0.96
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b-_3473_v31
double_thumbs_up_ratio: 0.3020833333333333
feedback_count: 288
ineligible_reason: None
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_score: 7.706666666666666
model_size: 47B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4791666666666667
thumbs_down_ratio: 0.21875
thumbs_up_ratio: 0.78125
us_pacific_date: 2024-04-30
win_ratio: 0.5127138783269962
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v31-mkmlizer
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Starting job with name mistralai-mixtral-8x7b-3473-v31-mkmlizer
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mistralai-mixtral-8x7b-3473-v31-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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mistralai-mixtral-8x7b-3473-v31-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v31-mkmlizer: ║ Version: 0.8.10 ║
mistralai-mixtral-8x7b-3473-v31-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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mistralai-mixtral-8x7b-3473-v31-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v31-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.
mistralai-mixtral-8x7b-3473-v31-mkmlizer: warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Downloaded to shared memory in 85.413s
mistralai-mixtral-8x7b-3473-v31-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v31-mkmlizer: quantized model in 58.599s
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 151.066s
mistralai-mixtral-8x7b-3473-v31-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v31-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/tokenizer.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/tokenizer.model
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/config.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v31/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v31-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 5%|▌ | 52/995 [00:01<00:23, 40.78it/s] Loading 0: 11%|█ | 107/995 [00:02<00:21, 42.05it/s] Loading 0: 16%|█▋ | 162/995 [00:03<00:18, 43.90it/s] Loading 0: 21%|██ | 210/995 [00:04<00:18, 43.51it/s] Loading 0: 27%|██▋ | 265/995 [00:05<00:15, 46.16it/s] Loading 0: 28%|██▊ | 282/995 [00:15<01:10, 10.12it/s] Loading 0: 32%|███▏ | 320/995 [00:16<00:51, 13.01it/s] Loading 0: 37%|███▋ | 368/995 [00:17<00:36, 17.32it/s] Loading 0: 43%|████▎ | 423/995 [00:18<00:25, 22.78it/s] Loading 0: 48%|████▊ | 478/995 [00:20<00:18, 27.80it/s] Loading 0: 53%|█████▎ | 526/995 [00:21<00:14, 31.48it/s] Loading 0: 56%|█████▋ | 561/995 [00:31<00:40, 10.84it/s] Loading 0: 59%|█████▊ | 584/995 [00:32<00:34, 11.99it/s] Loading 0: 64%|██████▍ | 636/995 [00:33<00:21, 16.55it/s] Loading 0: 69%|██████▉ | 691/995 [00:34<00:13, 21.90it/s] Loading 0: 74%|███████▍ | 739/995 [00:35<00:09, 26.26it/s] Loading 0: 80%|███████▉ | 794/995 [00:36<00:06, 31.36it/s] Loading 0: 80%|███████▉ | 794/995 [00:46<00:06, 31.36it/s] Loading 0: 85%|████████▍ | 842/995 [00:46<00:13, 11.43it/s] Loading 0: 88%|████████▊ | 875/995 [00:47<00:08, 13.40it/s] Loading 0: 93%|█████████▎| 923/995 [00:48<00:04, 17.38it/s] Loading 0: 96%|█████████▌| 952/995 [00:50<00:02, 16.79it/s] /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.
mistralai-mixtral-8x7b-3473-v31-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v31-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.
mistralai-mixtral-8x7b-3473-v31-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v31-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.
mistralai-mixtral-8x7b-3473-v31-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v31-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()
mistralai-mixtral-8x7b-3473-v31-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Saving duration: 0.287s
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 10.963s
mistralai-mixtral-8x7b-3473-v31-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v31-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v31-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/config.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/merges.txt
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/vocab.json
mistralai-mixtral-8x7b-3473-v31-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v31_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v31-mkmlizer completed after 197.13s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v31-mkmlizer
Pipeline stage MKMLizer completed in 200.76s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v31
Waiting for inference service mistralai-mixtral-8x7b-3473-v31 to be ready
Inference service mistralai-mixtral-8x7b-3473-v31 ready after 60.587929010391235s
Pipeline stage ISVCDeployer completed in 68.08s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5286073684692383s
Received healthy response to inference request in 1.3979945182800293s
Received healthy response to inference request in 1.2090930938720703s
Received healthy response to inference request in 1.2562673091888428s
Received healthy response to inference request in 1.6442430019378662s
5 requests
0 failed requests
5th percentile: 1.2185279369354247
10th percentile: 1.2279627799987793
20th percentile: 1.2468324661254884
30th percentile: 1.2846127510070802
40th percentile: 1.3413036346435547
50th percentile: 1.3979945182800293
60th percentile: 1.4964939117431642
70th percentile: 1.5949933052062988
80th percentile: 1.8211158752441408
90th percentile: 2.1748616218566896
95th percentile: 2.3517344951629635
99th percentile: 2.4932327938079832
mean time: 1.6072410583496093
Pipeline stage StressChecker completed in 9.11s
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
mistralai-mixtral-8x7b-_3473_v31 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v31 status is now inactive due to auto deactivation removed underperforming models

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