steelskull-l3-ms-astoria-70b

submission_id: steelskull-l3-ms-astoria-70b_v1

developer_uid: Steelskull

status: inactive

model_repo: Steelskull/L3-MS-Astoria-70b

reward_repo: ChaiML/reward_gpt2_medium_preference_24m_e2

generation_params: {'temperature': 0.85, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 90, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}

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}

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: 2024-05-22T06:23:31+00:00

model_name: steelskull-l3-ms-astoria-70b_v1

model_eval_status: success

model_group: Steelskull/L3-MS-Astoria

num_battles: 97957

num_wins: 50029

celo_rating: 1196.79

propriety_score: 0.7158384720589294

propriety_total_count: 41677.0

submission_type: basic

model_architecture: LlamaForCausalLM

model_num_parameters: 70553706496.0

best_of: 4

max_input_tokens: 512

max_output_tokens: 64

display_name: steelskull-l3-ms-astoria-70b_v1

ineligible_reason: None

language_model: Steelskull/L3-MS-Astoria-70b

model_size: 71B

reward_model: ChaiML/reward_gpt2_medium_preference_24m_e2

us_pacific_date: 2024-05-21

win_ratio: 0.5107240932245781

Resubmit model

Reference Models

Running pipeline stage MKMLizer
Starting job with name steelskull-l3-ms-astoria-70b-v1-mkmlizer
Waiting for job on steelskull-l3-ms-astoria-70b-v1-mkmlizer to finish
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║     _____            __           __                                ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║       /___/                                                         ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║                                                                     ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  Version: 0.8.14                                                    ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  https://mk1.ai                                                     ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║                                                                     ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  belonging to:                                                      ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║                                                                     ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  Chai Research Corp.                                                ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ║                                                                     ║
steelskull-l3-ms-astoria-70b-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
steelskull-l3-ms-astoria-70b-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.
steelskull-l3-ms-astoria-70b-v1-mkmlizer:   warnings.warn(warning_message, FutureWarning)
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Downloaded to shared memory in 154.413s
steelskull-l3-ms-astoria-70b-v1-mkmlizer: quantizing model to /dev/shm/model_cache
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
steelskull-l3-ms-astoria-70b-v1-mkmlizer: 
Loading 0:   0%|          | 0/723 [00:00<?, ?it/s]
Loading 0:   0%|          | 2/723 [00:08<53:35,  4.46s/it]
Loading 0:   1%|          | 6/723 [00:09<14:07,  1.18s/it]
Loading 0:   2%|▏         | 14/723 [00:09<04:36,  2.57it/s]
Loading 0:   3%|▎         | 22/723 [00:09<02:23,  4.87it/s]
Loading 0:   4%|▎         | 27/723 [00:09<01:43,  6.70it/s]
Loading 0:   4%|▍         | 32/723 [00:10<01:40,  6.88it/s]
Loading 0:   6%|▌         | 40/723 [00:10<01:02, 10.87it/s]
Loading 0:   6%|▌         | 45/723 [00:10<00:49, 13.70it/s]
Loading 0:   7%|▋         | 50/723 [00:10<00:39, 17.12it/s]
Loading 0:   8%|▊         | 58/723 [00:10<00:27, 24.06it/s]
Loading 0:   9%|▉         | 64/723 [00:10<00:23, 28.39it/s]
Loading 0:  10%|▉         | 70/723 [00:10<00:20, 31.62it/s]
Loading 0:  11%|█         | 77/723 [00:10<00:17, 37.41it/s]
Loading 0:  12%|█▏        | 85/723 [00:11<00:28, 22.41it/s]
Loading 0:  12%|█▏        | 90/723 [00:11<00:24, 25.52it/s]
Loading 0:  13%|█▎        | 96/723 [00:11<00:21, 28.76it/s]
Loading 0:  14%|█▍        | 104/723 [00:11<00:17, 36.23it/s]
Loading 0:  15%|█▌        | 112/723 [00:24<05:32,  1.84it/s]
Loading 0:  16%|█▌        | 117/723 [00:24<04:16,  2.37it/s]
Loading 0:  17%|█▋        | 123/723 [00:24<03:05,  3.23it/s]
Loading 0:  18%|█▊        | 131/723 [00:24<02:01,  4.86it/s]
Loading 0:  19%|█▉        | 137/723 [00:25<01:43,  5.67it/s]
Loading 0:  20%|█▉        | 142/723 [00:25<01:21,  7.16it/s]
Loading 0:  21%|██        | 149/723 [00:25<00:56, 10.11it/s]
Loading 0:  22%|██▏       | 157/723 [00:25<00:39, 14.39it/s]
Loading 0:  23%|██▎       | 163/723 [00:25<00:31, 17.94it/s]
Loading 0:  23%|██▎       | 169/723 [00:25<00:25, 21.62it/s]
Loading 0:  24%|██▍       | 176/723 [00:26<00:19, 27.39it/s]
Loading 0:  25%|██▌       | 184/723 [00:26<00:15, 34.62it/s]
Loading 0:  26%|██▋       | 190/723 [00:26<00:25, 20.88it/s]
Loading 0:  27%|██▋       | 195/723 [00:26<00:22, 23.51it/s]
Loading 0:  28%|██▊       | 203/723 [00:27<00:16, 30.77it/s]
Loading 0:  29%|██▉       | 211/723 [00:27<00:13, 37.87it/s]
Loading 0:  30%|███       | 217/723 [00:27<00:12, 41.00it/s]
Loading 0:  31%|███       | 223/723 [00:27<00:11, 42.31it/s]
Loading 0:  32%|███▏      | 230/723 [00:27<00:10, 47.40it/s]
Loading 0:  33%|███▎      | 238/723 [00:27<00:09, 52.89it/s]
Loading 0:  34%|███▎      | 244/723 [00:28<00:19, 24.77it/s]
Loading 0:  34%|███▍      | 247/723 [00:40<00:19, 24.77it/s]
Loading 0:  34%|███▍      | 248/723 [00:40<05:22,  1.47it/s]
Loading 0:  35%|███▌      | 256/723 [00:41<03:23,  2.30it/s]
Loading 0:  36%|███▌      | 262/723 [00:41<02:26,  3.14it/s]
Loading 0:  37%|███▋      | 268/723 [00:41<01:46,  4.29it/s]
Loading 0:  38%|███▊      | 275/723 [00:41<01:12,  6.14it/s]
Loading 0:  39%|███▉      | 283/723 [00:41<00:49,  8.98it/s]
Loading 0:  40%|███▉      | 289/723 [00:41<00:37, 11.56it/s]
Loading 0:  41%|████      | 295/723 [00:42<00:40, 10.69it/s]
Loading 0:  42%|████▏     | 302/723 [00:42<00:29, 14.46it/s]
Loading 0:  43%|████▎     | 310/723 [00:42<00:20, 19.85it/s]
Loading 0:  44%|████▎     | 316/723 [00:42<00:17, 23.83it/s]
Loading 0:  45%|████▍     | 322/723 [00:42<00:14, 27.46it/s]
Loading 0:  46%|████▌     | 329/723 [00:42<00:11, 33.52it/s]
Loading 0:  47%|████▋     | 337/723 [00:43<00:09, 40.79it/s]
Loading 0:  47%|████▋     | 343/723 [00:43<00:16, 22.97it/s]
Loading 0:  48%|████▊     | 348/723 [00:43<00:14, 25.36it/s]
Loading 0:  49%|████▉     | 356/723 [00:43<00:11, 32.86it/s]
Loading 0:  50%|█████     | 364/723 [00:43<00:08, 40.01it/s]
Loading 0:  51%|█████     | 370/723 [00:44<00:08, 42.93it/s]
Loading 0:  52%|█████▏    | 376/723 [00:44<00:07, 43.88it/s]
Loading 0:  53%|█████▎    | 383/723 [00:44<00:06, 48.79it/s]
Loading 0:  54%|█████▍    | 389/723 [00:57<03:32,  1.57it/s]
Loading 0:  54%|█████▍    | 393/723 [00:58<02:56,  1.87it/s]
Loading 0:  55%|█████▌    | 401/723 [00:58<01:49,  2.95it/s]
Loading 0:  57%|█████▋    | 409/723 [00:58<01:11,  4.40it/s]
Loading 0:  57%|█████▋    | 415/723 [00:58<00:52,  5.87it/s]
Loading 0:  58%|█████▊    | 421/723 [00:58<00:38,  7.75it/s]
Loading 0:  59%|█████▉    | 428/723 [00:58<00:27, 10.76it/s]
Loading 0:  60%|██████    | 436/723 [00:59<00:18, 15.15it/s]
Loading 0:  61%|██████    | 442/723 [00:59<00:14, 18.74it/s]
Loading 0:  62%|██████▏   | 448/723 [00:59<00:17, 15.39it/s]
Loading 0:  63%|██████▎   | 455/723 [00:59<00:13, 20.22it/s]
Loading 0:  64%|██████▍   | 463/723 [00:59<00:09, 26.65it/s]
Loading 0:  65%|██████▍   | 469/723 [01:00<00:08, 30.76it/s]
Loading 0:  66%|██████▌   | 475/723 [01:00<00:07, 33.88it/s]
Loading 0:  67%|██████▋   | 482/723 [01:00<00:06, 39.70it/s]
Loading 0:  68%|██████▊   | 490/723 [01:00<00:04, 46.89it/s]
Loading 0:  69%|██████▊   | 497/723 [01:00<00:04, 50.45it/s]
Loading 0:  70%|██████▉   | 504/723 [01:01<00:08, 25.14it/s]
Loading 0:  71%|███████   | 510/723 [01:01<00:07, 28.34it/s]
Loading 0:  72%|███████▏  | 518/723 [01:01<00:05, 35.38it/s]
Loading 0:  72%|███████▏  | 523/723 [01:14<00:05, 35.38it/s]
Loading 0:  72%|███████▏  | 524/723 [01:14<01:58,  1.68it/s]
Loading 0:  73%|███████▎  | 528/723 [01:14<01:33,  2.08it/s]
Loading 0:  74%|███████▍  | 536/723 [01:14<00:57,  3.23it/s]
Loading 0:  75%|███████▌  | 544/723 [01:14<00:37,  4.80it/s]
Loading 0:  76%|███████▌  | 550/723 [01:15<00:31,  5.57it/s]
Loading 0:  77%|███████▋  | 555/723 [01:15<00:24,  7.00it/s]
Loading 0:  78%|███████▊  | 563/723 [01:15<00:15, 10.25it/s]
Loading 0:  79%|███████▉  | 571/723 [01:15<00:10, 14.31it/s]
Loading 0:  80%|███████▉  | 577/723 [01:15<00:08, 17.58it/s]
Loading 0:  81%|████████  | 583/723 [01:15<00:06, 20.86it/s]
Loading 0:  82%|████████▏ | 590/723 [01:16<00:05, 26.10it/s]
Loading 0:  83%|████████▎ | 598/723 [01:16<00:03, 32.71it/s]
Loading 0:  84%|████████▎ | 604/723 [01:16<00:06, 18.65it/s]
Loading 0:  84%|████████▍ | 609/723 [01:17<00:05, 20.96it/s]
Loading 0:  85%|████████▌ | 617/723 [01:17<00:03, 27.60it/s]
Loading 0:  86%|████████▋ | 625/723 [01:17<00:02, 34.16it/s]
Loading 0:  87%|████████▋ | 631/723 [01:17<00:02, 37.16it/s]
Loading 0:  88%|████████▊ | 637/723 [01:17<00:02, 38.42it/s]
Loading 0:  89%|████████▉ | 644/723 [01:17<00:01, 43.13it/s]
Loading 0:  90%|█████████ | 652/723 [01:17<00:01, 48.70it/s]
Loading 0:  91%|█████████ | 658/723 [01:18<00:02, 21.87it/s]
Loading 0:  92%|█████████▏| 663/723 [01:30<00:36,  1.66it/s]
Loading 0:  93%|█████████▎| 671/723 [01:30<00:20,  2.54it/s]
Loading 0:  94%|█████████▍| 679/723 [01:30<00:11,  3.76it/s]
Loading 0:  95%|█████████▍| 685/723 [01:30<00:07,  4.98it/s]
Loading 0:  96%|█████████▌| 691/723 [01:30<00:04,  6.57it/s]
Loading 0:  97%|█████████▋| 698/723 [01:30<00:02,  9.11it/s]
Loading 0:  98%|█████████▊| 706/723 [01:31<00:01,  9.70it/s]
Loading 0:  98%|█████████▊| 711/723 [01:31<00:01, 11.86it/s]
Loading 0:  99%|█████████▉| 716/723 [01:31<00:00, 14.57it/s]
                                                            
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
steelskull-l3-ms-astoria-70b-v1-mkmlizer: quantized model in 106.966s
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Processed model Steelskull/L3-MS-Astoria-70b in 270.320s
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
steelskull-l3-ms-astoria-70b-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/config.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/tokenizer_config.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/tokenizer.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/special_tokens_map.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/flywheel_model.5.safetensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/flywheel_model.3.safetensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/flywheel_model.0.safetensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/flywheel_model.4.safetensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/flywheel_model.1.safetensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/steelskull-l3-ms-astoria-70b-v1/flywheel_model.2.safetensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
steelskull-l3-ms-astoria-70b-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.
steelskull-l3-ms-astoria-70b-v1-mkmlizer:   warnings.warn(
steelskull-l3-ms-astoria-70b-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.
steelskull-l3-ms-astoria-70b-v1-mkmlizer:   warnings.warn(
steelskull-l3-ms-astoria-70b-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.
steelskull-l3-ms-astoria-70b-v1-mkmlizer:   warnings.warn(
steelskull-l3-ms-astoria-70b-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()
steelskull-l3-ms-astoria-70b-v1-mkmlizer:   return self.fget.__get__(instance, owner)()
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Saving duration: 0.283s
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 4.043s
steelskull-l3-ms-astoria-70b-v1-mkmlizer: creating bucket guanaco-reward-models
steelskull-l3-ms-astoria-70b-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
steelskull-l3-ms-astoria-70b-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/config.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/special_tokens_map.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/tokenizer_config.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/vocab.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/merges.txt
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/tokenizer.json
steelskull-l3-ms-astoria-70b-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/steelskull-l3-ms-astoria-70b-v1_reward/reward.tensors
Job steelskull-l3-ms-astoria-70b-v1-mkmlizer completed after 321.67s with status: succeeded
Stopping job with name steelskull-l3-ms-astoria-70b-v1-mkmlizer
Pipeline stage MKMLizer completed in 325.22s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service steelskull-l3-ms-astoria-70b-v1
Waiting for inference service steelskull-l3-ms-astoria-70b-v1 to be ready
Inference service steelskull-l3-ms-astoria-70b-v1 ready after 130.60918426513672s
Pipeline stage ISVCDeployer completed in 137.73s
Running pipeline stage StressChecker
Received healthy response to inference request in 5.560669422149658s
Received healthy response to inference request in 4.248526334762573s
Received healthy response to inference request in 4.26397705078125s
Received healthy response to inference request in 4.2216269969940186s
Received healthy response to inference request in 4.200321435928345s
5 requests
0 failed requests
5th percentile: 4.204582548141479
10th percentile: 4.208843660354614
20th percentile: 4.217365884780884
30th percentile: 4.22700686454773
40th percentile: 4.237766599655151
50th percentile: 4.248526334762573
60th percentile: 4.254706621170044
70th percentile: 4.260886907577515
80th percentile: 4.523315525054932
90th percentile: 5.041992473602295
95th percentile: 5.301330947875976
99th percentile: 5.508801727294922
mean time: 4.499024248123169
Pipeline stage StressChecker completed in 23.26s
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
steelskull-l3-ms-astoria-70b_v1 status is now deployed due to DeploymentManager action
steelskull-l3-ms-astoria-70b_v1 status is now inactive due to auto deactivation removed underperforming models

Start Time:

End Time:

Step (in hours or minutes, e.g. 1h, 10m):

Usage Metrics

Latency Metrics

Model Developer	Ranking	Ranking By Group	Elo Rating	Elo Rating By Group	Alignment Score	Alignment Question Responses	Submission ID	Parameters	Huggingface Repository	Variant	Number of Battles	Number of Battles By Group	Win Ratio	Win Ratio By Group	Type	Reward Repo	Best of	Max Input Tokens	Max Output Tokens	Model Architecture	Model Group	Date	Elo Norm	Alignment Norm	Alt Ranking	Alt Ranking By Group	Elo Rank	Alignment Rank
Jellywibble	1	1	1264.70	1266.41	0.71	5803.0	jellywibble-lora-120k-pr_2827_v2	8B	Jellywibble/lora_120k_pref_data_ep2	nitral-ai-hathor-l3-8b-v-01_v1	30751	285696	0.60	0.60	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-04	1.81	0.30	17	17	3	295
kay5555	2	1	1266.41	1266.41	0.70	6896.0	jellywibble-lora-120k-pr_2827_v5	8B	Jellywibble/lora_120k_pref_data_ep2	nitral-ai-hathor-l3-8b-v-01_v1	40418	285696	0.59	0.60	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-04	1.85	-0.26	109	17	1	500
robert_irvine	3	3	1236.99	1238.68	0.73	5655.0	nitral-ai-hathor-l3-8b-v-01_v12	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v12	32705	1081979	0.56	0.58	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-05	1.18	0.91	1	1	10	126
robert_irvine	4	3	1237.75	1238.68	0.72	11740.0	nitral-ai-hathor-l3-8b-v-01_v42	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v42	69119	1081979	0.52	0.58	basic	Jellywibble/CHAI_alignment_reward_model	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-06	1.20	0.87	2	1	8	133
robert_irvine	5	3	1238.56	1238.68	0.72	11197.0	nitral-ai-hathor-l3-8b-v-01_v43	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v43	65010	1081979	0.51	0.58	basic	Jellywibble/CHAI_alignment_reward_model	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-06	1.21	0.83	3	1	7	146
Jellywibble	6	6	1266.18	1266.18	0.70	6107.0	jellywibble-quantumenigm_5980_v2	8B	Jellywibble/QuantumEnigma-cp1500	quantum-enigma-cp1500	35566	35566	0.61	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/QuantumEnigm	2024-07-06	1.85	-0.43	161	161	2	560
kay5555	7	1	1261.11	1266.41	0.70	7034.0	jellywibble-lora-120k-pr_2827_v3	8B	Jellywibble/lora_120k_pref_data_ep2	nitral-ai-hathor-l3-8b-v-01_v1	40661	285696	0.58	0.60	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-04	1.73	-0.32	122	17	4	521
robert_irvine	8	3	1237.39	1238.68	0.72	5471.0	nitral-ai-hathor-l3-8b-v-01_v11	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v11	32108	1081979	0.57	0.58	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-05	1.19	0.58	9	1	9	210
dzhao1	9	9	1234.33	1234.33	0.72	7455.0	chaiml-sao10k-l3-rp-v3-3_v2	8B	ChaiML/sao10k-l3-rp-v3-3	chaiml-sao10k-l3-rp-v3-3_v2	15854	408568	0.58	0.58	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	8.0	1024.0	64.0	LlamaForCausalLM	ChaiML/sao10k-l3-rp-v3-3	2024-07-02	1.12	0.57	10	4	12	215
robert_irvine	10	3	1236.02	1238.68	0.72	5365.0	nitral-ai-hathor-l3-8b-v-01_v38	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v38	31159	1081979	0.58	0.58	basic	Jellywibble/CHAI_alignment_reward_model	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-05	1.16	0.47	11	1	11	240
robert_irvine	11	3	1238.68	1238.68	0.71	5261.0	nitral-ai-hathor-l3-8b-v-01_v41	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v41	30522	1081979	0.58	0.58	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-05	1.22	0.34	14	1	6	283
kay5555	12	1	1260.05	1266.41	0.70	7065.0	jellywibble-lora-120k-pr_2827_v4	8B	Jellywibble/lora_120k_pref_data_ep2	nitral-ai-hathor-l3-8b-v-01_v1	40196	285696	0.58	0.60	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-04	1.71	-0.62	215	17	5	625
dzhao1	13	9	1220.66	1234.33	0.73	5650.0	chaiml-sao10k-l3-rp-v3-3_v1	8B	ChaiML/sao10k-l3-rp-v3-3	chaiml-sao10k-l3-rp-v3-3_v1	11815	408568	0.57	0.58	basic	ChaiML/gpt2_medium_pairwise_60m_step_937500	8.0	1024.0	64.0	LlamaForCausalLM	ChaiML/sao10k-l3-rp-v3-3	2024-07-02	0.80	0.97	4	4	50	110
nguyenzzz	14	14	1216.48	1219.12	0.73	5314.0	meseca-15062024-c1_v3	8B	meseca/15062024-c1	meseca-15062024-c1_v3	10944	33263	0.56	0.56	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	8.0	1024.0	64.0	LlamaForCausalLM	meseca/15062024-c1	2024-07-01	0.71	1.12	7	7	94	90
R136a1	15	15	1220.22	1220.22	0.73	9252.0	r136a1-slerp8bv2_v2	8B	R136a1/Slerp8Bv2	r136a1-slerp8bv2_v1	9830	33452	0.55	0.55	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	R136a1/Slerp8Bv2	2024-06-25	0.79	0.95	5	5	55	116
dzhao1	16	16	1227.27	1227.27	0.72	5044.0	sao10k-l3-rp-v3-3_v9	8B	Sao10K/L3-RP-v3.3	sao10k-l3-rp-v3-3_v9	10311	3817665	0.58	0.58	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	8.0	1024.0	64.0	LlamaForCausalLM	Sao10K/L3-RP-v3.3	2024-07-01	0.95	0.62	8	8	18	200
Nitral-AI	17	3	1217.37	1238.68	0.73	8490.0	nitral-ai-hathor-l3-8b-v-02_v12	8B	Nitral-AI/Hathor-L3-8B-v.02	nitral-ai-hathor-l3-8b-v02	17317	1081979	0.53	0.58	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-06-22	0.73	1.02	6	1	80	104
robert_irvine	18	3	1230.47	1238.68	0.71	5413.0	nitral-ai-hathor-l3-8b-v-01_v37	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v-01_v37	31623	1081979	0.57	0.58	basic	Jellywibble/CHAI_alignment_reward_model	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-07-05	1.03	0.39	13	1	16	271
c.gato	19	19	1198.09	1208.35	0.74	5964.0	cgato-thesalt-rp-l3-8b-d_7209_v3	8B	cgato/TheSalt-RP-L3-8b-DPO-v0.3.2-e0.8.2	cgato-thesalt-rp-l3-8b-d_7209_v3	22762	626274	0.51	0.55	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	cgato/TheSalt-RP-L3-8b-D	2024-07-04	0.29	1.73	46	46	349	35
nguyenzzz	20	20	1164.75	1164.75	0.77	8354.0	meseca-20062024-c1-dpo-1e_v2	8B	meseca/20062024-c1-dpo-1e	meseca-20062024-c1-dpo-1e_v2	14942	30221	0.48	0.48	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	meseca/20062024-c1-dpo-1	2024-06-27	-0.48	3.03	273	273	698	5
Jellywibble	21	21	1152.82	1152.82	0.78	5334.0	jellywibble-nguy-alignme_4960_v1	8B	Jellywibble/nguy-alignment-regression-cp128	meseca-20062024-c1_v1	31528	61623	0.46	0.46	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/nguy-alignme	2024-07-05	-0.75	3.49	301	301	728	2
PawanOsman	22	22	1226.34	1232.68	0.71	5567.0	pawankrd-cosmosrp_v35	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v35	33039	1713349	0.56	0.75	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-05	0.93	0.31	19	19	20	290
dzhao1	23	9	1208.39	1234.33	0.73	6597.0	chaiml-sao10k-l3-rp-v3-3_v3	8B	ChaiML/sao10k-l3-rp-v3-3	chaiml-sao10k-l3-rp-v3-3_v3	13662	408568	0.55	0.58	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	8.0	1024.0	64.0	LlamaForCausalLM	ChaiML/sao10k-l3-rp-v3-3	2024-07-03	0.52	1.06	15	4	200	96
PawanOsman	24	22	1205.97	1232.68	0.73	6425.0	pawankrd-cosmosrp_v36	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v36	37297	1713349	0.52	0.75	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-06	0.47	1.15	21	19	241	82
Jellywibble	25	25	1204.84	1204.84	0.73	7424.0	jellywibble-hathor-stabl_8901_v1	8B	Jellywibble/Hathor_Stable-v0.2-L3-8B	nitral-ai-hathor-l3-8b-v-01_v1	15675	43096	0.54	0.54	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/Hathor_Stabl	2024-07-03	0.44	1.16	25	25	252	81
Hastagaras	26	26	1215.54	1215.54	0.72	19901.0	hastagaras-ultimatej-8b-l3-br_v1	8B	Hastagaras/UltimateJ-8B-L3-BR	hastagaras-ultimatej-8b-l3-br_v1	15513	15513	0.57	0.57	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Hastagaras/UltimateJ-8B-	2024-06-25	0.69	0.70	12	12	103	179
c.gato	27	27	1204.93	1204.93	0.73	12623.0	cgato-thesalt-rp-l3-8b-v0-3-2_v9	8B	cgato/TheSalt-RP-L3-8b-v0.3.2	cgato-thesalt-rp-l3-8b-v0-3-2_v9	26206	119491	0.55	0.63	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	cgato/TheSalt-RP-L3-8b-v	2024-06-19	0.44	1.12	27	27	248	86
Jellywibble	28	28	1203.54	1203.82	0.73	6368.0	jellywibble-qlora-120k-p_350_v2	8B	Jellywibble/qlora_120k_pref_data_ep1	nitral-ai-hathor-l3-8b-v-01_v1	13568	26921	0.52	0.52	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/qlora_120k_p	2024-07-03	0.41	1.17	34	34	276	79
Azazelle	29	29	1219.14	1219.87	0.72	5461.0	azazelle-l3-hecate-8b-v1-0_v2	8B	Azazelle/L3-Hecate-8B-v1.0	azazelle-l3-hecate-8b-v1-0_v1	31599	130968	0.56	0.56	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Azazelle/L3-Hecate-8B-v1	2024-07-05	0.77	0.50	16	16	62	234
PawanOsman	30	22	1232.08	1232.68	0.71	5670.0	pawankrd-cosmosrp_v34	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v34	32737	1713349	0.56	0.75	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-05	1.06	-0.06	74	19	15	429
Jellywibble	31	21	1150.33	1152.82	0.77	5324.0	jellywibble-nguy-alignme_5302_v1	8B	Jellywibble/nguy-alignment-regression-ep3	meseca-20062024-c1_v1	30095	61623	0.46	0.46	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/nguy-alignme	2024-07-05	-0.81	3.42	311	301	732	4
nguyenzzz	32	32	1163.58	1163.58	0.76	7186.0	meseca-20062024-c1-dpo-2e_v2	8B	meseca/20062024-c1-dpo-2e	meseca-20062024-c1-dpo-2e_v2	13424	24698	0.48	0.48	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	meseca/20062024-c1-dpo-2	2024-06-27	-0.51	2.84	282	282	704	8
Nitral-AI	33	3	1210.44	1238.68	0.72	12150.0	nitral-ai-hathor-l3-8b-v-02_v14	8B	Nitral-AI/Hathor-L3-8B-v.02	nitral-ai-hathor-l3-8b-v02	25571	1081979	0.51	0.58	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-06-22	0.57	0.84	20	1	176	142
PawanOsman	34	22	1223.32	1232.68	0.71	14566.0	pawankrd-cosmosrp_v24	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v24	30258	1713349	0.58	0.75	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-06-21	0.86	0.28	28	19	34	306
Nitral-AI	35	3	1217.44	1238.68	0.72	8230.0	nitral-ai-hathor-l3-8b-v-02_v11	8B	Nitral-AI/Hathor-L3-8B-v.02	nitral-ai-hathor-l3-8b-v02	17654	1081979	0.53	0.58	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-06-22	0.73	0.52	18	1	79	226
Jellywibble	36	1	1233.52	1266.41	0.70	5966.0	jellywibble-lora-120k-pr_2827_v1	8B	Jellywibble/lora_120k_pref_data_ep2	nitral-ai-hathor-l3-8b-v-01_v1	12653	285696	0.56	0.60	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-03	1.10	-0.19	103	17	13	480
R136a1	37	37	1214.27	1214.27	0.72	11654.0	r136a1-slerp8bv1_v1	8B	R136a1/Slerp8Bv1	r136a1-slerp8bv1_v1	24124	24124	0.54	0.54	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	R136a1/Slerp8Bv1	2024-06-24	0.66	0.61	22	22	122	203
robert_irvine	38	38	1190.48	1199.63	0.74	6517.0	nousresearch-meta-llama_4941_v78	8B	NousResearch/Meta-Llama-3-8B-Instruct	nousresearch-meta-llama_4941_v78	13904	274135	0.53	0.53	basic	ChaiML/gpt2_medium_pairwise_60m_step_937500	16.0	512.0	64.0	LlamaForCausalLM	NousResearch/Meta-Llama-	2024-07-03	0.11	1.61	112	67	460	42
Nitral-AI	39	3	1216.49	1238.68	0.72	10531.0	nitral-ai-hathor-l3-8b-v-01_v9	8B	Nitral-AI/Hathor-L3-8B-v.01	nitral-ai-hathor-l3-8b-v01	21595	1081979	0.52	0.58	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor-L3-8B-v	2024-06-22	0.71	0.50	24	1	93	236
Nitral-AI	40	40	1214.50	1214.50	0.72	9792.0	nitral-ai-hathor-unstabl_1363_v2	8B	Nitral-AI/Hathor_Unstable-L3-8B-v0.3	nitral-ai-hathor-03_1363_v1	20473	70699	0.53	0.55	basic	ChaiML/reward_gpt2_medium_preference_24m_e2	16.0	512.0	64.0	LlamaForCausalLM	Nitral-AI/Hathor_Unstabl	2024-06-22	0.66	0.57	23	23	116	212