submission_id: mistralai-mixtral-8x7b-_3473_v33
developer_uid: alexdaoud
status: deployed
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: 2024-05-01T00:55:19+00:00
model_name: mistralai-mixtral-8x7b-_3473_v33
model_eval_status: success
double_thumbs_up: 153575
thumbs_up: 231708
thumbs_down: 101206
num_battles: 12402211
num_wins: 6007846
celo_rating: 1161.48
entertaining: 7.04
stay_in_character: 8.73
user_preference: 7.46
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_v33
double_thumbs_up_ratio: 0.3156803134294917
feedback_count: 486489
ineligible_reason: None
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_score: 7.743333333333333
model_size: 47B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
single_thumbs_up_ratio: 0.4762862058546031
thumbs_down_ratio: 0.2080334807159052
thumbs_up_ratio: 0.7919665192840948
us_pacific_date: 2024-04-30
win_ratio: 0.48441733494132616
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v33-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v33-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v33-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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mistralai-mixtral-8x7b-3473-v33-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v33-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v33-mkmlizer: ║ Version: 0.8.10 ║
mistralai-mixtral-8x7b-3473-v33-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
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mistralai-mixtral-8x7b-3473-v33-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
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mistralai-mixtral-8x7b-3473-v33-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v33-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-v33-mkmlizer: warnings.warn(warning_message, FutureWarning)
Failed to get response for submission neversleep-noromaid-v0-_8068_v36: ('http://neversleep-noromaid-v0-8068-v36-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: overflow')
Failed to get response for submission blend_kekit_2024-04-30: ('http://neversleep-noromaid-v0-8068-v36-predictor-default.tenant-chaiml-guanaco.knative.ord1.coreweave.cloud/v1/models/GPT-J-6B-lit-v2:predict', 'upstream connect error or disconnect/reset before headers. reset reason: overflow')
mistralai-mixtral-8x7b-3473-v33-mkmlizer: Downloaded to shared memory in 62.141s
mistralai-mixtral-8x7b-3473-v33-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v33-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v33-mkmlizer: quantized model in 67.275s
mistralai-mixtral-8x7b-3473-v33-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 134.975s
mistralai-mixtral-8x7b-3473-v33-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v33-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v33-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/config.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/tokenizer.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/tokenizer.model
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v33/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v33-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
mistralai-mixtral-8x7b-3473-v33-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 6%|▌ | 60/995 [00:01<00:15, 59.52it/s] Loading 0: 13%|█▎ | 134/995 [00:02<00:12, 67.88it/s] Loading 0: 21%|██ | 210/995 [00:03<00:12, 65.27it/s] Loading 0: 21%|██ | 210/995 [00:18<00:12, 65.27it/s] Loading 0: 28%|██▊ | 282/995 [00:18<01:05, 10.90it/s] Loading 0: 36%|███▌ | 355/995 [00:19<00:40, 15.78it/s] Loading 0: 43%|████▎ | 423/995 [00:20<00:27, 20.80it/s] Loading 0: 51%|█████ | 505/995 [00:21<00:17, 28.43it/s] Loading 0: 56%|█████▋ | 561/995 [00:35<00:40, 10.83it/s] Loading 0: 63%|██████▎ | 628/995 [00:36<00:25, 14.58it/s] Loading 0: 69%|██████▉ | 691/995 [00:37<00:16, 18.36it/s] Loading 0: 76%|███████▋ | 759/995 [00:38<00:09, 23.73it/s] Loading 0: 83%|████████▎ | 829/995 [00:39<00:05, 29.90it/s] Loading 0: 83%|████████▎ | 829/995 [00:50<00:05, 29.90it/s] Loading 0: 85%|████████▍ | 842/995 [00:53<00:17, 8.86it/s] Loading 0: 90%|█████████ | 897/995 [00:55<00:08, 11.93it/s] Loading 0: 96%|█████████▌| 952/995 [00:57<00:03, 14.24it/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-v33-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v33-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-v33-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v33-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-v33-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v33-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-v33-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v33-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v33-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v33-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/config.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/merges.txt
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/vocab.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v33-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v33_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v33-mkmlizer completed after 175.69s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v33-mkmlizer
Pipeline stage MKMLizer completed in 178.90s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v33
Waiting for inference service mistralai-mixtral-8x7b-3473-v33 to be ready
Inference service mistralai-mixtral-8x7b-3473-v33 ready after 50.48996829986572s
Pipeline stage ISVCDeployer completed in 57.61s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.393676996231079s
Received healthy response to inference request in 1.8405365943908691s
Received healthy response to inference request in 1.8372306823730469s
Received healthy response to inference request in 1.5164861679077148s
Received healthy response to inference request in 1.7739601135253906s
5 requests
0 failed requests
5th percentile: 1.56798095703125
10th percentile: 1.619475746154785
20th percentile: 1.7224653244018555
30th percentile: 1.786614227294922
40th percentile: 1.8119224548339843
50th percentile: 1.8372306823730469
60th percentile: 1.8385530471801759
70th percentile: 1.8398754119873046
80th percentile: 1.9511646747589113
90th percentile: 2.172420835494995
95th percentile: 2.283048915863037
99th percentile: 2.3715513801574706
mean time: 1.8723781108856201
Pipeline stage StressChecker completed in 9.97s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
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_v33 status is now deployed due to DeploymentManager action

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