submission_id: mistralai-mixtral-8x7b-_3473_v10
developer_uid: robert_irvine
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, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['</s>', '<|user|>', '###', '\n'], '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}:'}
reward_formatter: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:'}
timestamp: 2024-03-19T18:29:20+00:00
model_name: mistralai-mixtral-8x7b-_3473_v10
model_eval_status: pending
safety_score: None
entertaining: None
stay_in_character: None
user_preference: None
double_thumbs_up: 4062
thumbs_up: 5766
thumbs_down: 2365
num_battles: 370910
num_wins: 195246
win_ratio: 0.5263972392224529
celo_rating: 1175.19
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v10-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v10-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ Version: 0.8.6 ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v10-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v10-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-v10-mkmlizer: warnings.warn(warning_message, FutureWarning)
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Downloaded to shared memory in 78.936s
mistralai-mixtral-8x7b-3473-v10-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 162.091s
mistralai-mixtral-8x7b-3473-v10-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v10-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/config.json
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/tokenizer.model
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/tokenizer.json
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v10-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v10/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v10-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Loading 0: 0%| | 0/995 [00:00<?, ?it/s] Loading 0: 1%| | 8/995 [00:00<00:13, 71.14it/s] Loading 0: 2%|▏ | 16/995 [00:00<00:14, 66.17it/s] Loading 0: 2%|▏ | 23/995 [00:00<00:15, 61.39it/s] Loading 0: 4%|▎ | 35/995 [00:00<00:11, 81.04it/s] Loading 0: 4%|▍ | 44/995 [00:00<00:13, 70.14it/s] Loading 0: 5%|▌ | 52/995 [00:01<00:23, 40.91it/s] Loading 0: 6%|▌ | 59/995 [00:01<00:20, 45.06it/s] Loading 0: 7%|▋ | 68/995 [00:01<00:17, 52.83it/s] Loading 0: 8%|▊ | 75/995 [00:01<00:16, 55.48it/s] Loading 0: 8%|▊ | 82/995 [00:01<00:15, 57.78it/s] Loading 0: 10%|▉ | 95/995 [00:01<00:11, 75.09it/s] Loading 0: 11%|█ | 105/995 [00:01<00:10, 80.93it/s] Loading 0: 11%|█▏ | 114/995 [00:02<00:18, 46.54it/s] Loading 0: 12%|█▏ | 121/995 [00:02<00:17, 50.16it/s] Loading 0: 13%|█▎ | 130/995 [00:02<00:15, 57.17it/s] Loading 0: 14%|█▍ | 138/995 [00:02<00:14, 58.92it/s] Loading 0: 15%|█▍ | 145/995 [00:02<00:14, 60.28it/s] Loading 0: 16%|█▋ | 162/995 [00:02<00:16, 51.04it/s] Loading 0: 17%|█▋ | 169/995 [00:02<00:15, 53.49it/s] Loading 0: 18%|█▊ | 176/995 [00:03<00:14, 55.67it/s] Loading 0: 18%|█▊ | 183/995 [00:03<00:14, 57.55it/s] Loading 0: 19%|█▉ | 192/995 [00:03<00:12, 63.65it/s] Loading 0: 20%|██ | 199/995 [00:03<00:12, 64.07it/s] Loading 0: 21%|██ | 210/995 [00:03<00:18, 43.36it/s] Loading 0: 22%|██▏ | 216/995 [00:03<00:16, 46.11it/s] Loading 0: 23%|██▎ | 224/995 [00:04<00:14, 51.57it/s] Loading 0: 23%|██▎ | 231/995 [00:04<00:14, 52.55it/s] Loading 0: 24%|██▍ | 237/995 [00:04<00:14, 52.27it/s] Loading 0: 25%|██▍ | 246/995 [00:04<00:12, 61.20it/s] Loading 0: 26%|██▌ | 254/995 [00:04<00:11, 64.35it/s] Loading 0: 26%|██▋ | 262/995 [00:04<00:10, 67.45it/s] Loading 0: 27%|██▋ | 270/995 [00:04<00:17, 41.78it/s] Loading 0: 28%|██▊ | 277/995 [00:05<00:15, 46.59it/s] Loading 0: 28%|██▊ | 283/995 [00:18<07:06, 1.67it/s] Loading 0: 29%|██▉ | 290/995 [00:19<05:00, 2.35it/s] Loading 0: 30%|██▉ | 297/995 [00:19<03:33, 3.27it/s] Loading 0: 30%|███ | 303/995 [00:19<02:39, 4.34it/s] Loading 0: 31%|███ | 309/995 [00:19<01:58, 5.78it/s] Loading 0: 32%|███▏ | 320/995 [00:20<01:24, 7.99it/s] Loading 0: 33%|███▎ | 325/995 [00:20<01:08, 9.73it/s] Loading 0: 33%|███▎ | 330/995 [00:20<00:55, 11.93it/s] Loading 0: 34%|███▍ | 336/995 [00:20<00:43, 15.29it/s] Loading 0: 34%|███▍ | 343/995 [00:20<00:31, 20.42it/s] Loading 0: 35%|███▌ | 349/995 [00:20<00:26, 24.24it/s] Loading 0: 36%|███▌ | 355/995 [00:20<00:22, 28.44it/s] Loading 0: 36%|███▋ | 361/995 [00:20<00:19, 32.52it/s] Loading 0: 37%|███▋ | 368/995 [00:21<00:28, 22.05it/s] Loading 0: 38%|███▊ | 375/995 [00:21<00:22, 27.93it/s] Loading 0: 38%|███▊ | 380/995 [00:21<00:19, 31.09it/s] Loading 0: 39%|███▉ | 386/995 [00:21<00:17, 35.07it/s] Loading 0: 39%|███▉ | 391/995 [00:21<00:15, 38.03it/s] Loading 0: 40%|███▉ | 397/995 [00:21<00:14, 42.34it/s] Loading 0: 41%|████ | 409/995 [00:22<00:09, 59.65it/s] Loading 0: 42%|████▏ | 416/995 [00:22<00:09, 58.37it/s] Loading 0: 43%|████▎ | 423/995 [00:22<00:14, 38.73it/s] Loading 0: 43%|████▎ | 429/995 [00:22<00:13, 40.66it/s] Loading 0: 44%|████▍ | 436/995 [00:22<00:12, 46.13it/s] Loading 0: 44%|████▍ | 442/995 [00:22<00:11, 46.16it/s] Loading 0: 45%|████▌ | 448/995 [00:23<00:11, 46.88it/s] Loading 0: 46%|████▌ | 454/995 [00:23<00:10, 49.77it/s] Loading 0: 47%|████▋ | 467/995 [00:23<00:07, 68.53it/s] Loading 0: 48%|████▊ | 475/995 [00:23<00:07, 70.76it/s] Loading 0: 49%|████▊ | 483/995 [00:23<00:13, 39.25it/s] Loading 0: 49%|████▉ | 489/995 [00:23<00:12, 41.76it/s] Loading 0: 50%|████▉ | 495/995 [00:23<00:11, 43.86it/s] Loading 0: 51%|█████ | 503/995 [00:24<00:09, 50.15it/s] Loading 0: 51%|█████ | 509/995 [00:24<00:09, 50.80it/s] Loading 0: 52%|█████▏ | 515/995 [00:24<00:09, 50.97it/s] Loading 0: 52%|█████▏ | 521/995 [00:24<00:08, 53.09it/s] Loading 0: 53%|█████▎ | 527/995 [00:24<00:14, 31.69it/s] Loading 0: 54%|█████▎ | 534/995 [00:24<00:12, 37.62it/s] Loading 0: 54%|█████▍ | 540/995 [00:25<00:11, 40.97it/s] Loading 0: 55%|█████▍ | 546/995 [00:25<00:10, 42.09it/s] Loading 0: 55%|█████▌ | 551/995 [00:25<00:10, 43.45it/s] Loading 0: 56%|█████▋ | 560/995 [00:40<00:10, 43.45it/s] Loading 0: 56%|█████▋ | 561/995 [00:40<04:40, 1.55it/s] Loading 0: 57%|█████▋ | 567/995 [00:40<03:25, 2.08it/s] Loading 0: 57%|█████▋ | 572/995 [00:40<02:36, 2.70it/s] Loading 0: 58%|█████▊ | 581/995 [00:41<01:46, 3.90it/s] Loading 0: 59%|█████▉ | 587/995 [00:41<01:18, 5.18it/s] Loading 0: 60%|█████▉ | 595/995 [00:41<00:53, 7.52it/s] Loading 0: 60%|██████ | 601/995 [00:41<00:40, 9.64it/s] Loading 0: 61%|██████ | 607/995 [00:41<00:31, 12.46it/s] Loading 0: 62%|██████▏ | 613/995 [00:41<00:24, 15.49it/s] Loading 0: 63%|██████▎ | 624/995 [00:41<00:15, 24.22it/s] Loading 0: 63%|██████▎ | 631/995 [00:42<00:12, 29.04it/s] Loading 0: 64%|██████▍ | 638/995 [00:42<00:14, 25.46it/s] Loading 0: 65%|██████▍ | 643/995 [00:42<00:12, 28.58it/s] Loading 0: 65%|██████▌ | 648/995 [00:42<00:10, 31.90it/s] Loading 0: 66%|██████▌ | 655/995 [00:42<00:08, 38.76it/s] Loading 0: 66%|██████▋ | 661/995 [00:42<00:08, 41.41it/s] Loading 0: 67%|██████▋ | 667/995 [00:42<00:07, 43.30it/s] Loading 0: 68%|██████▊ | 673/995 [00:43<00:07, 45.10it/s] Loading 0: 69%|██████▉ | 685/995 [00:43<00:05, 61.66it/s] Loading 0: 70%|██████▉ | 692/995 [00:43<00:08, 33.82it/s] Loading 0: 70%|███████ | 698/995 [00:43<00:08, 33.50it/s] Loading 0: 71%|███████ | 703/995 [00:43<00:08, 35.60it/s] Loading 0: 71%|███████ | 708/995 [00:44<00:07, 36.79it/s] Loading 0: 72%|███████▏ | 715/995 [00:44<00:06, 43.24it/s] Loading 0: 72%|███████▏ | 721/995 [00:44<00:06, 43.50it/s] Loading 0: 73%|███████▎ | 726/995 [00:44<00:06, 40.97it/s] Loading 0: 73%|███████▎ | 731/995 [00:44<00:06, 42.79it/s] Loading 0: 74%|███████▍ | 739/995 [00:44<00:08, 29.46it/s] Loading 0: 75%|███████▌ | 747/995 [00:45<00:06, 37.49it/s] Loading 0: 76%|███████▌ | 753/995 [00:45<00:05, 41.02it/s] Loading 0: 76%|███████▋ | 759/995 [00:45<00:05, 43.44it/s] Loading 0: 77%|███████▋ | 765/995 [00:45<00:05, 45.63it/s] Loading 0: 78%|███████▊ | 777/995 [00:45<00:03, 61.52it/s] Loading 0: 79%|███████▉ | 784/995 [00:45<00:03, 58.01it/s] Loading 0: 80%|███████▉ | 794/995 [00:46<00:05, 37.08it/s] Loading 0: 80%|████████ | 800/995 [00:46<00:05, 36.44it/s] Loading 0: 81%|████████ | 805/995 [00:46<00:05, 35.72it/s] Loading 0: 82%|████████▏ | 811/995 [00:46<00:04, 40.07it/s] Loading 0: 82%|████████▏ | 816/995 [00:46<00:04, 39.12it/s] Loading 0: 83%|████████▎ | 821/995 [00:46<00:04, 38.71it/s] Loading 0: 83%|████████▎ | 826/995 [00:46<00:04, 38.89it/s] Loading 0: 84%|████████▎ | 831/995 [00:46<00:03, 41.43it/s] Loading 0: 85%|████████▍ | 841/995 [01:01<00:03, 41.43it/s] Loading 0: 85%|████████▍ | 842/995 [01:01<01:37, 1.56it/s] Loading 0: 85%|████████▌ | 849/995 [01:02<01:09, 2.10it/s] Loading 0: 86%|████████▌ | 853/995 [01:02<00:55, 2.57it/s] Loading 0: 86%|████████▌ | 857/995 [01:02<00:42, 3.23it/s] Loading 0: 87%|████████▋ | 861/995 [01:02<00:32, 4.12it/s] Loading 0: 87%|████████▋ | 865/995 [01:02<00:24, 5.32it/s] Loading 0: 88%|████████▊ | 872/995 [01:02<00:14, 8.30it/s] Loading 0: 88%|████████▊ | 877/995 [01:03<00:10, 10.85it/s] Loading 0: 89%|████████▊ | 883/995 [01:03<00:07, 14.69it/s] Loading 0: 89%|████████▉ | 889/995 [01:03<00:05, 19.13it/s] Loading 0: 90%|█████████ | 897/995 [01:03<00:05, 17.46it/s] Loading 0: 91%|█████████ | 905/995 [01:03<00:03, 23.70it/s] Loading 0: 92%|█████████▏| 911/995 [01:04<00:02, 28.02it/s] Loading 0: 92%|█████████▏| 917/995 [01:04<00:02, 32.40it/s] Loading 0: 93%|█████████▎| 923/995 [01:04<00:01, 36.53it/s] Loading 0: 94%|█████████▍| 935/995 [01:04<00:01, 52.49it/s] Loading 0: 95%|█████████▍| 943/995 [01:04<00:00, 52.68it/s] Loading 0: 96%|█████████▌| 952/995 [01:06<00:03, 13.07it/s] Loading 0: 96%|█████████▋| 958/995 [01:06<00:02, 15.92it/s] Loading 0: 97%|█████████▋| 966/995 [01:06<00:01, 20.99it/s] Loading 0: 98%|█████████▊| 972/995 [01:06<00:00, 24.78it/s] Loading 0: 98%|█████████▊| 978/995 [01:06<00:00, 28.94it/s] Loading 0: 99%|█████████▉| 984/995 [01:06<00:00, 33.18it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1096: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v10-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:720: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v10-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v10-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:466: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v10-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v10-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-v10-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Saving duration: 0.252s
mistralai-mixtral-8x7b-3473-v10-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.595s
Job mistralai-mixtral-8x7b-3473-v10-mkmlizer completed after 206.63s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v10-mkmlizer
Pipeline stage MKMLizer completed in 207.77s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.32s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v10
Waiting for inference service mistralai-mixtral-8x7b-3473-v10 to be ready
Inference service mistralai-mixtral-8x7b-3473-v10 ready after 50.8971529006958s
Pipeline stage ISVCDeployer completed in 57.01s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.8761188983917236s
Received healthy response to inference request in 2.242408514022827s
Received healthy response to inference request in 1.4536323547363281s
Received healthy response to inference request in 1.3391191959381104s
Received healthy response to inference request in 1.9089395999908447s
5 requests
0 failed requests
5th percentile: 1.3620218276977538
10th percentile: 1.3849244594573975
20th percentile: 1.4307297229766847
30th percentile: 1.5446938037872315
40th percentile: 1.7268167018890381
50th percentile: 1.9089395999908447
60th percentile: 2.0423271656036377
70th percentile: 2.1757147312164307
80th percentile: 2.3691505908966066
90th percentile: 2.622634744644165
95th percentile: 2.749376821517944
99th percentile: 2.8507704830169676
mean time: 1.9640437126159669
Pipeline stage StressChecker completed in 12.26s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.11s
Running M-Eval for topic stay_in_character
Running pipeline stage DaemonicSafetyScorer
M-Eval Dataset for topic stay_in_character is loaded
Pipeline stage DaemonicSafetyScorer completed in 0.26s
%s, retrying in %s seconds...
%s, retrying in %s seconds...

Usage Metrics

Latency Metrics