submission_id: mistralai-mixtral-8x7b-_3473_v32
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: 2024-04-30T15:50:35+00:00
model_name: mistralai-mixtral-8x7b-_3473_v32
model_eval_status: error
double_thumbs_up: 4
thumbs_up: 7
thumbs_down: 2
num_battles: 236
num_wins: 117
celo_rating: None
entertaining: None
stay_in_character: None
user_preference: None
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_v32
double_thumbs_up_ratio: 0.3076923076923077
feedback_count: 13
ineligible_reason: num_battles<5000
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_score: None
model_size: 47B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.5384615384615384
thumbs_down_ratio: 0.15384615384615385
thumbs_up_ratio: 0.8461538461538461
us_pacific_date: 2024-04-30
win_ratio: 0.4957627118644068
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v32-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v32-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v32-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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mistralai-mixtral-8x7b-3473-v32-mkmlizer: ║ Version: 0.8.10 ║
mistralai-mixtral-8x7b-3473-v32-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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mistralai-mixtral-8x7b-3473-v32-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-v32-mkmlizer: warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v32-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 133.121s
mistralai-mixtral-8x7b-3473-v32-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v32-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v32-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/config.json
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/tokenizer.model
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/tokenizer.json
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v32/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v32-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
mistralai-mixtral-8x7b-3473-v32-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 7%|▋ | 72/995 [00:01<00:12, 71.66it/s] Loading 0: 14%|█▍ | 142/995 [00:02<00:12, 70.25it/s] Loading 0: 21%|██ | 210/995 [00:03<00:12, 63.11it/s] Loading 0: 28%|██▊ | 282/995 [00:13<00:48, 14.83it/s] Loading 0: 36%|███▌ | 355/995 [00:14<00:30, 20.99it/s] Loading 0: 43%|████▎ | 423/995 [00:15<00:21, 26.85it/s] Loading 0: 50%|█████ | 502/995 [00:16<00:14, 34.74it/s] Loading 0: 56%|█████▋ | 561/995 [00:27<00:29, 14.49it/s] Loading 0: 63%|██████▎ | 626/995 [00:28<00:19, 18.85it/s] Loading 0: 69%|██████▉ | 691/995 [00:29<00:12, 23.80it/s] Loading 0: 76%|███████▋ | 759/995 [00:30<00:07, 29.77it/s] Loading 0: 84%|████████▎ | 831/995 [00:31<00:04, 36.59it/s] Loading 0: 85%|████████▍ | 842/995 [00:40<00:12, 12.06it/s] Loading 0: 90%|█████████ | 897/995 [00:41<00:06, 15.92it/s] Loading 0: 96%|█████████▌| 952/995 [00:43<00:02, 18.41it/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-v32-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v32-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-v32-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v32-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-v32-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v32-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-v32-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v32-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v32-mkmlizer: Saving duration: 0.235s
mistralai-mixtral-8x7b-3473-v32-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 8.174s
mistralai-mixtral-8x7b-3473-v32-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v32-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v32_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v32-mkmlizer completed after 185.54s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v32-mkmlizer
Pipeline stage MKMLizer completed in 188.73s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v32
Waiting for inference service mistralai-mixtral-8x7b-3473-v32 to be ready
Inference service mistralai-mixtral-8x7b-3473-v32 ready after 60.420934438705444s
Pipeline stage ISVCDeployer completed in 67.43s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8908841609954834s
Received healthy response to inference request in 1.832432508468628s
Received healthy response to inference request in 1.6530590057373047s
Received healthy response to inference request in 1.4644453525543213s
Received healthy response to inference request in 0.9507560729980469s
5 requests
0 failed requests
5th percentile: 1.0534939289093017
10th percentile: 1.1562317848205566
20th percentile: 1.3617074966430665
30th percentile: 1.5021680831909179
40th percentile: 1.5776135444641113
50th percentile: 1.6530590057373047
60th percentile: 1.724808406829834
70th percentile: 1.7965578079223632
80th percentile: 2.0441228389739994
90th percentile: 2.4675034999847414
95th percentile: 2.679193830490112
99th percentile: 2.848546094894409
mean time: 1.758315420150757
Pipeline stage StressChecker completed in 9.42s
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_v32 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v32 status is now rejected due to a failure to get M-Eval score. Please try again in five minutes.

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