khanhnto-khanhnto

submission_id: khanhnto-khanhnto_v63

developer_uid: chai_backend_admin

status: torndown

model_repo: khanhnto/khanhnto

reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2

generation_params: {'temperature': 1.2, 'top_p': 0.7, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.8, 'frequency_penalty': 0.2, 'stopping_words': ['\n', '<\\s>', '###'], 'max_input_tokens': 512, 'best_of': 8, 'max_output_tokens': 48}

formatter: {'memory_template': "### Instruction:\n\n{bot_name}'s Persona: {memory}.\n\nPlay the role of {bot_name}. Engage in a chat with {user_name} while stay in character. Do not write dialogues and narration for {user_name}. {bot_name} should response with messages of medium length.", 'prompt_template': '{prompt}\n\n', 'bot_template': '### Response:\n\n{bot_name}: {message}\n\n', 'user_template': '### Input:\n\n{user_name}: {message}\n\n', 'response_template': '### Response:\n\n{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: 2024-03-31T01:48:30+00:00

model_name: khanhnto-48

model_eval_status: success

model_group: khanhnto/khanhnto

num_battles: 129630

num_wins: 58432

celo_rating: 1118.48

propriety_score: 0.0

propriety_total_count: 0.0

submission_type: basic

model_architecture: LlamaForCausalLM

model_num_parameters: 13015864320.0

best_of: 8

max_input_tokens: 512

max_output_tokens: 48

display_name: khanhnto-48

ineligible_reason: max_output_tokens!=64

language_model: khanhnto/khanhnto

model_size: 13B

reward_model: rirv938/reward_gpt2_medium_preference_24m_e2

us_pacific_date: 2024-03-30

win_ratio: 0.45075985497184295

preference_data_url: None

Resubmit model

Reference Models

Running pipeline stage MKMLizer
Starting job with name khanhnto-khanhnto-v63-mkmlizer
Waiting for job on khanhnto-khanhnto-v63-mkmlizer to finish
khanhnto-khanhnto-v63-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
khanhnto-khanhnto-v63-mkmlizer: ║     _____            __           __                                ║
khanhnto-khanhnto-v63-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
khanhnto-khanhnto-v63-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
khanhnto-khanhnto-v63-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
khanhnto-khanhnto-v63-mkmlizer: ║       /___/                                                         ║
khanhnto-khanhnto-v63-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v63-mkmlizer: ║  Version: 0.6.11                                                    ║
khanhnto-khanhnto-v63-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
khanhnto-khanhnto-v63-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v63-mkmlizer: ║  The license key for the current software has been verified as      ║
khanhnto-khanhnto-v63-mkmlizer: ║  belonging to:                                                      ║
khanhnto-khanhnto-v63-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v63-mkmlizer: ║  Chai Research Corp.                                                ║
khanhnto-khanhnto-v63-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
khanhnto-khanhnto-v63-mkmlizer: ║  Expiration: 2024-07-15 23:59:59                                    ║
khanhnto-khanhnto-v63-mkmlizer: ║                                                                     ║
khanhnto-khanhnto-v63-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
khanhnto-khanhnto-v63-mkmlizer: 
.gitattributes:   0%|          | 0.00/1.52k [00:00<?, ?B/s]
.gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 15.8MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
added_tokens.json:   0%|          | 0.00/21.0 [00:00<?, ?B/s]
added_tokens.json: 100%|██████████| 21.0/21.0 [00:00<00:00, 179kB/s]
khanhnto-khanhnto-v63-mkmlizer: 
config.json:   0%|          | 0.00/702 [00:00<?, ?B/s]
config.json: 100%|██████████| 702/702 [00:00<00:00, 11.5MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
generation_config.json:   0%|          | 0.00/137 [00:00<?, ?B/s]
generation_config.json: 100%|██████████| 137/137 [00:00<00:00, 2.26MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
model-00001-of-00006.safetensors:   0%|          | 0.00/4.98G [00:00<?, ?B/s]
model-00001-of-00006.safetensors:   0%|          | 10.5M/4.98G [00:00<02:49, 29.3MB/s]
model-00001-of-00006.safetensors:   2%|▏         | 115M/4.98G [00:00<00:15, 315MB/s]  
model-00001-of-00006.safetensors:   5%|▌         | 262M/4.98G [00:00<00:07, 638MB/s]
model-00001-of-00006.safetensors:   8%|▊         | 398M/4.98G [00:00<00:05, 839MB/s]
model-00001-of-00006.safetensors:  12%|█▏        | 587M/4.98G [00:00<00:04, 1.09GB/s]
model-00001-of-00006.safetensors:  16%|█▌        | 797M/4.98G [00:00<00:03, 1.36GB/s]
model-00001-of-00006.safetensors:  20%|█▉        | 975M/4.98G [00:00<00:02, 1.45GB/s]
model-00001-of-00006.safetensors:  23%|██▎       | 1.14G/4.98G [00:01<00:02, 1.46GB/s]
model-00001-of-00006.safetensors:  28%|██▊       | 1.41G/4.98G [00:01<00:02, 1.78GB/s]
model-00001-of-00006.safetensors:  33%|███▎      | 1.66G/4.98G [00:01<00:01, 1.96GB/s]
model-00001-of-00006.safetensors:  37%|███▋      | 1.87G/4.98G [00:01<00:01, 1.97GB/s]
model-00001-of-00006.safetensors:  42%|████▏     | 2.08G/4.98G [00:01<00:01, 1.75GB/s]
model-00001-of-00006.safetensors:  47%|████▋     | 2.32G/4.98G [00:01<00:01, 1.90GB/s]
model-00001-of-00006.safetensors:  51%|█████     | 2.53G/4.98G [00:01<00:01, 1.95GB/s]
model-00001-of-00006.safetensors:  55%|█████▍    | 2.74G/4.98G [00:01<00:01, 1.90GB/s]
model-00001-of-00006.safetensors:  59%|█████▉    | 2.94G/4.98G [00:02<00:01, 1.69GB/s]
model-00001-of-00006.safetensors:  64%|██████▍   | 3.20G/4.98G [00:02<00:00, 1.92GB/s]
model-00001-of-00006.safetensors:  71%|███████▏  | 3.55G/4.98G [00:02<00:00, 2.36GB/s]
model-00001-of-00006.safetensors:  76%|███████▋  | 3.81G/4.98G [00:02<00:00, 2.36GB/s]
model-00001-of-00006.safetensors:  82%|████████▏ | 4.06G/4.98G [00:02<00:00, 2.39GB/s]
model-00001-of-00006.safetensors:  87%|████████▋ | 4.31G/4.98G [00:02<00:00, 2.17GB/s]
model-00001-of-00006.safetensors:  91%|█████████ | 4.54G/4.98G [00:02<00:00, 2.12GB/s]
model-00001-of-00006.safetensors: 100%|█████████▉| 4.96G/4.98G [00:02<00:00, 2.55GB/s]
model-00001-of-00006.safetensors: 100%|█████████▉| 4.98G/4.98G [00:05<00:00, 942MB/s] 
khanhnto-khanhnto-v63-mkmlizer: 
model-00002-of-00006.safetensors:   0%|          | 0.00/4.97G [00:00<?, ?B/s]
model-00002-of-00006.safetensors:   0%|          | 10.5M/4.97G [00:00<00:49, 100MB/s]
model-00002-of-00006.safetensors:   2%|▏         | 83.9M/4.97G [00:00<00:11, 442MB/s]
model-00002-of-00006.safetensors:   4%|▍         | 189M/4.97G [00:00<00:06, 691MB/s] 
model-00002-of-00006.safetensors:   7%|▋         | 325M/4.97G [00:00<00:04, 931MB/s]
model-00002-of-00006.safetensors:  10%|▉         | 482M/4.97G [00:00<00:04, 1.12GB/s]
model-00002-of-00006.safetensors:  14%|█▎        | 671M/4.97G [00:00<00:03, 1.35GB/s]
model-00002-of-00006.safetensors:  17%|█▋        | 849M/4.97G [00:00<00:02, 1.47GB/s]
model-00002-of-00006.safetensors:  21%|██        | 1.04G/4.97G [00:00<00:02, 1.57GB/s]
model-00002-of-00006.safetensors:  24%|██▍       | 1.21G/4.97G [00:01<00:02, 1.27GB/s]
model-00002-of-00006.safetensors:  27%|██▋       | 1.34G/4.97G [00:01<00:02, 1.25GB/s]
model-00002-of-00006.safetensors:  30%|██▉       | 1.48G/4.97G [00:01<00:02, 1.25GB/s]
model-00002-of-00006.safetensors:  33%|███▎      | 1.63G/4.97G [00:01<00:02, 1.30GB/s]
model-00002-of-00006.safetensors:  43%|████▎     | 2.14G/4.97G [00:01<00:01, 2.34GB/s]
model-00002-of-00006.safetensors:  50%|████▉     | 2.46G/4.97G [00:01<00:00, 2.58GB/s]
model-00002-of-00006.safetensors:  55%|█████▌    | 2.74G/4.97G [00:01<00:00, 2.49GB/s]
model-00002-of-00006.safetensors:  60%|██████    | 3.00G/4.97G [00:01<00:00, 2.03GB/s]
model-00002-of-00006.safetensors:  65%|██████▍   | 3.23G/4.97G [00:01<00:00, 2.08GB/s]
model-00002-of-00006.safetensors:  70%|██████▉   | 3.46G/4.97G [00:02<00:00, 2.13GB/s]
model-00002-of-00006.safetensors:  74%|███████▍  | 3.69G/4.97G [00:02<00:00, 2.13GB/s]
model-00002-of-00006.safetensors:  81%|████████  | 4.01G/4.97G [00:02<00:00, 2.34GB/s]
model-00002-of-00006.safetensors:  86%|████████▌ | 4.27G/4.97G [00:02<00:00, 2.39GB/s]
model-00002-of-00006.safetensors:  91%|█████████ | 4.52G/4.97G [00:02<00:00, 2.22GB/s]
model-00002-of-00006.safetensors:  99%|█████████▊| 4.90G/4.97G [00:02<00:00, 2.62GB/s]
model-00002-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:02<00:00, 1.80GB/s]
khanhnto-khanhnto-v63-mkmlizer: 
model-00003-of-00006.safetensors:   0%|          | 0.00/4.97G [00:00<?, ?B/s]
model-00003-of-00006.safetensors:   0%|          | 10.5M/4.97G [00:00<01:06, 74.8MB/s]
model-00003-of-00006.safetensors:   2%|▏         | 94.4M/4.97G [00:00<00:11, 441MB/s] 
model-00003-of-00006.safetensors:   5%|▌         | 262M/4.97G [00:00<00:05, 933MB/s] 
model-00003-of-00006.safetensors:   7%|▋         | 367M/4.97G [00:00<00:05, 864MB/s]
model-00003-of-00006.safetensors:  10%|█         | 503M/4.97G [00:00<00:04, 1.00GB/s]
model-00003-of-00006.safetensors:  12%|█▏        | 619M/4.97G [00:00<00:04, 1.03GB/s]
model-00003-of-00006.safetensors:  16%|█▌        | 776M/4.97G [00:00<00:03, 1.17GB/s]
model-00003-of-00006.safetensors:  18%|█▊        | 902M/4.97G [00:00<00:04, 998MB/s] 
model-00003-of-00006.safetensors:  22%|██▏       | 1.09G/4.97G [00:01<00:03, 1.22GB/s]
model-00003-of-00006.safetensors:  25%|██▍       | 1.23G/4.97G [00:01<00:03, 1.21GB/s]
model-00003-of-00006.safetensors:  29%|██▉       | 1.44G/4.97G [00:01<00:02, 1.43GB/s]
model-00003-of-00006.safetensors:  33%|███▎      | 1.66G/4.97G [00:01<00:02, 1.58GB/s]
model-00003-of-00006.safetensors:  38%|███▊      | 1.89G/4.97G [00:01<00:01, 1.60GB/s]
model-00003-of-00006.safetensors:  42%|████▏     | 2.10G/4.97G [00:01<00:01, 1.69GB/s]
model-00003-of-00006.safetensors:  46%|████▋     | 2.31G/4.97G [00:01<00:01, 1.79GB/s]
model-00003-of-00006.safetensors:  51%|█████     | 2.54G/4.97G [00:01<00:01, 1.84GB/s]
model-00003-of-00006.safetensors:  55%|█████▍    | 2.73G/4.97G [00:01<00:01, 1.77GB/s]
model-00003-of-00006.safetensors:  60%|█████▉    | 2.98G/4.97G [00:02<00:01, 1.95GB/s]
model-00003-of-00006.safetensors:  66%|██████▌   | 3.28G/4.97G [00:02<00:00, 2.23GB/s]
model-00003-of-00006.safetensors:  71%|███████   | 3.51G/4.97G [00:02<00:00, 2.03GB/s]
model-00003-of-00006.safetensors:  75%|███████▌  | 3.73G/4.97G [00:02<00:00, 2.06GB/s]
model-00003-of-00006.safetensors:  80%|███████▉  | 3.95G/4.97G [00:02<00:00, 1.92GB/s]
model-00003-of-00006.safetensors:  85%|████████▍ | 4.22G/4.97G [00:02<00:00, 2.09GB/s]
model-00003-of-00006.safetensors:  90%|█████████ | 4.49G/4.97G [00:02<00:00, 2.26GB/s]
model-00003-of-00006.safetensors:  98%|█████████▊| 4.87G/4.97G [00:02<00:00, 2.16GB/s]
model-00003-of-00006.safetensors: 100%|█████████▉| 4.97G/4.97G [00:03<00:00, 1.35GB/s]
khanhnto-khanhnto-v63-mkmlizer: 
model-00004-of-00006.safetensors:   0%|          | 0.00/4.93G [00:00<?, ?B/s]
model-00004-of-00006.safetensors:   0%|          | 10.5M/4.93G [00:00<00:59, 82.3MB/s]
model-00004-of-00006.safetensors:   3%|▎         | 126M/4.93G [00:00<00:07, 627MB/s]  
model-00004-of-00006.safetensors:   5%|▌         | 262M/4.93G [00:00<00:05, 897MB/s]
model-00004-of-00006.safetensors:  10%|▉         | 472M/4.93G [00:00<00:03, 1.32GB/s]
model-00004-of-00006.safetensors:  14%|█▍        | 682M/4.93G [00:00<00:02, 1.57GB/s]
model-00004-of-00006.safetensors:  18%|█▊        | 912M/4.93G [00:00<00:02, 1.78GB/s]
model-00004-of-00006.safetensors:  22%|██▏       | 1.10G/4.93G [00:00<00:02, 1.73GB/s]
model-00004-of-00006.safetensors:  27%|██▋       | 1.31G/4.93G [00:00<00:02, 1.80GB/s]
model-00004-of-00006.safetensors:  31%|███       | 1.52G/4.93G [00:00<00:01, 1.88GB/s]
model-00004-of-00006.safetensors:  36%|███▌      | 1.76G/4.93G [00:01<00:01, 1.99GB/s]
model-00004-of-00006.safetensors:  40%|████      | 1.98G/4.93G [00:01<00:01, 2.01GB/s]
model-00004-of-00006.safetensors:  44%|████▍     | 2.19G/4.93G [00:01<00:01, 1.95GB/s]
model-00004-of-00006.safetensors:  48%|████▊     | 2.39G/4.93G [00:01<00:01, 1.89GB/s]
model-00004-of-00006.safetensors:  52%|█████▏    | 2.59G/4.93G [00:01<00:01, 1.86GB/s]
model-00004-of-00006.safetensors:  57%|█████▋    | 2.82G/4.93G [00:01<00:01, 1.93GB/s]
model-00004-of-00006.safetensors:  62%|██████▏   | 3.06G/4.93G [00:01<00:00, 2.06GB/s]
model-00004-of-00006.safetensors:  68%|██████▊   | 3.37G/4.93G [00:01<00:00, 2.26GB/s]
model-00004-of-00006.safetensors:  74%|███████▎  | 3.63G/4.93G [00:01<00:00, 2.21GB/s]
model-00004-of-00006.safetensors:  78%|███████▊  | 3.86G/4.93G [00:02<00:00, 2.12GB/s]
model-00004-of-00006.safetensors:  83%|████████▎ | 4.08G/4.93G [00:02<00:00, 1.89GB/s]
model-00004-of-00006.safetensors:  89%|████████▉ | 4.41G/4.93G [00:02<00:00, 2.24GB/s]
model-00004-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:02<00:00, 2.00GB/s]
khanhnto-khanhnto-v63-mkmlizer: 
model-00005-of-00006.safetensors:   0%|          | 0.00/4.93G [00:00<?, ?B/s]
model-00005-of-00006.safetensors:   0%|          | 10.5M/4.93G [00:00<01:01, 80.6MB/s]
model-00005-of-00006.safetensors:   2%|▏         | 83.9M/4.93G [00:00<00:11, 408MB/s] 
model-00005-of-00006.safetensors:   5%|▍         | 241M/4.93G [00:00<00:05, 890MB/s] 
model-00005-of-00006.safetensors:   7%|▋         | 346M/4.93G [00:00<00:05, 873MB/s]
model-00005-of-00006.safetensors:  11%|█▏        | 556M/4.93G [00:00<00:03, 1.25GB/s]
model-00005-of-00006.safetensors:  15%|█▍        | 724M/4.93G [00:00<00:03, 1.38GB/s]
model-00005-of-00006.safetensors:  18%|█▊        | 912M/4.93G [00:00<00:02, 1.53GB/s]
model-00005-of-00006.safetensors:  26%|██▌       | 1.29G/4.93G [00:00<00:01, 2.21GB/s]
model-00005-of-00006.safetensors:  31%|███       | 1.54G/4.93G [00:00<00:01, 2.30GB/s]
model-00005-of-00006.safetensors:  36%|███▌      | 1.78G/4.93G [00:01<00:01, 2.15GB/s]
model-00005-of-00006.safetensors:  41%|████      | 2.03G/4.93G [00:01<00:01, 2.11GB/s]
model-00005-of-00006.safetensors:  47%|████▋     | 2.32G/4.93G [00:01<00:01, 2.28GB/s]
model-00005-of-00006.safetensors:  52%|█████▏    | 2.56G/4.93G [00:01<00:01, 2.30GB/s]
model-00005-of-00006.safetensors:  57%|█████▋    | 2.82G/4.93G [00:01<00:00, 2.39GB/s]
model-00005-of-00006.safetensors:  62%|██████▏   | 3.06G/4.93G [00:01<00:00, 2.07GB/s]
model-00005-of-00006.safetensors:  67%|██████▋   | 3.30G/4.93G [00:01<00:00, 2.15GB/s]
model-00005-of-00006.safetensors:  74%|███████▎  | 3.64G/4.93G [00:01<00:00, 2.47GB/s]
model-00005-of-00006.safetensors:  79%|███████▉  | 3.90G/4.93G [00:02<00:00, 2.25GB/s]
model-00005-of-00006.safetensors:  84%|████████▍ | 4.16G/4.93G [00:02<00:00, 2.30GB/s]
model-00005-of-00006.safetensors:  91%|█████████ | 4.47G/4.93G [00:02<00:00, 2.50GB/s]
model-00005-of-00006.safetensors: 100%|█████████▉| 4.93G/4.93G [00:02<00:00, 2.07GB/s]
khanhnto-khanhnto-v63-mkmlizer: 
model-00006-of-00006.safetensors:   0%|          | 0.00/1.25G [00:00<?, ?B/s]
model-00006-of-00006.safetensors:   1%|          | 10.5M/1.25G [00:00<00:38, 32.0MB/s]
model-00006-of-00006.safetensors:  13%|█▎        | 157M/1.25G [00:00<00:02, 418MB/s]  
model-00006-of-00006.safetensors:  19%|█▊        | 231M/1.25G [00:00<00:02, 452MB/s]
model-00006-of-00006.safetensors:  24%|██▎       | 294M/1.25G [00:00<00:02, 431MB/s]
model-00006-of-00006.safetensors:  44%|████▎     | 543M/1.25G [00:00<00:00, 932MB/s]
model-00006-of-00006.safetensors: 100%|█████████▉| 1.25G/1.25G [00:00<00:00, 1.31GB/s]
khanhnto-khanhnto-v63-mkmlizer: 
model.safetensors.index.json:   0%|          | 0.00/29.9k [00:00<?, ?B/s]
model.safetensors.index.json: 100%|██████████| 29.9k/29.9k [00:00<00:00, 70.8MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
special_tokens_map.json:   0%|          | 0.00/548 [00:00<?, ?B/s]
special_tokens_map.json: 100%|██████████| 548/548 [00:00<00:00, 6.90MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
tokenizer.json:   0%|          | 0.00/1.84M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 15.9MB/s]
tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 15.8MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
tokenizer.model:   0%|          | 0.00/500k [00:00<?, ?B/s]
tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 58.3MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/1.02k [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 1.02k/1.02k [00:00<00:00, 11.5MB/s]
khanhnto-khanhnto-v63-mkmlizer: Downloaded to shared memory in 20.631s
khanhnto-khanhnto-v63-mkmlizer: quantizing model to /dev/shm/model_cache
khanhnto-khanhnto-v63-mkmlizer: Saving mkml model at /dev/shm/model_cache
khanhnto-khanhnto-v63-mkmlizer: Reading /tmp/tmpmbi3o_48/model.safetensors.index.json
khanhnto-khanhnto-v63-mkmlizer: 
Profiling:   0%|          | 0/363 [00:00<?, ?it/s]
Profiling:   0%|          | 1/363 [00:01<08:42,  1.44s/it]
Profiling:   4%|▎         | 13/363 [00:01<00:30, 11.37it/s]
Profiling:   8%|▊         | 28/363 [00:01<00:12, 27.00it/s]
Profiling:  11%|█▏        | 41/363 [00:01<00:07, 40.72it/s]
Profiling:  16%|█▌        | 57/363 [00:01<00:05, 59.76it/s]
Profiling:  19%|█▉        | 70/363 [00:02<00:05, 51.56it/s]
Profiling:  23%|██▎       | 83/363 [00:02<00:04, 63.92it/s]
Profiling:  27%|██▋       | 98/363 [00:02<00:03, 78.82it/s]
Profiling:  31%|███       | 113/363 [00:02<00:02, 93.50it/s]
Profiling:  35%|███▍      | 127/363 [00:02<00:02, 103.26it/s]
Profiling:  39%|███▊      | 140/363 [00:02<00:03, 73.59it/s] 
Profiling:  42%|████▏     | 154/363 [00:03<00:02, 85.77it/s]
Profiling:  46%|████▌     | 167/363 [00:03<00:02, 94.29it/s]
Profiling:  51%|█████     | 184/363 [00:03<00:01, 108.64it/s]
Profiling:  55%|█████▌    | 200/363 [00:03<00:01, 121.10it/s]
Profiling:  59%|█████▉    | 214/363 [00:03<00:01, 77.05it/s] 
Profiling:  63%|██████▎   | 229/363 [00:03<00:01, 89.73it/s]
Profiling:  68%|██████▊   | 246/363 [00:03<00:01, 103.24it/s]
Profiling:  71%|███████▏  | 259/363 [00:03<00:00, 109.04it/s]
Profiling:  75%|███████▌  | 273/363 [00:04<00:00, 114.48it/s]
Profiling:  79%|███████▉  | 286/363 [00:04<00:01, 72.78it/s] 
Profiling:  83%|████████▎ | 301/363 [00:04<00:00, 85.26it/s]
Profiling:  87%|████████▋ | 316/363 [00:04<00:00, 98.17it/s]
Profiling:  91%|█████████ | 329/363 [00:04<00:00, 103.39it/s]
Profiling:  95%|█████████▍| 344/363 [00:04<00:00, 113.59it/s]
Profiling:  98%|█████████▊| 357/363 [00:06<00:00, 22.44it/s] 
Profiling: 100%|██████████| 363/363 [00:06<00:00, 54.06it/s]
khanhnto-khanhnto-v63-mkmlizer: quantized model in 24.361s
khanhnto-khanhnto-v63-mkmlizer: Processed model khanhnto/khanhnto in 46.779s
khanhnto-khanhnto-v63-mkmlizer: creating bucket guanaco-mkml-models
khanhnto-khanhnto-v63-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
khanhnto-khanhnto-v63-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/khanhnto-khanhnto-v63
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/config.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/added_tokens.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/added_tokens.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/special_tokens_map.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/khanhnto-khanhnto-v63/tokenizer.model
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/tokenizer_config.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/khanhnto-khanhnto-v63/tokenizer.json
khanhnto-khanhnto-v63-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/khanhnto-khanhnto-v63/mkml_model.tensors
khanhnto-khanhnto-v63-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
khanhnto-khanhnto-v63-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:1067: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khanhnto-khanhnto-v63-mkmlizer:   warnings.warn(
khanhnto-khanhnto-v63-mkmlizer: 
config.json:   0%|          | 0.00/1.05k [00:00<?, ?B/s]
config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 12.9MB/s]
khanhnto-khanhnto-v63-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:690: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khanhnto-khanhnto-v63-mkmlizer:   warnings.warn(
khanhnto-khanhnto-v63-mkmlizer: 
tokenizer_config.json:   0%|          | 0.00/234 [00:00<?, ?B/s]
tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 2.98MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
vocab.json:   0%|          | 0.00/1.04M [00:00<?, ?B/s]
vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 45.9MB/s]
khanhnto-khanhnto-v63-mkmlizer: 
tokenizer.json:   0%|          | 0.00/2.11M [00:00<?, ?B/s]
tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 37.0MB/s]
khanhnto-khanhnto-v63-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:472: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
khanhnto-khanhnto-v63-mkmlizer:   warnings.warn(
khanhnto-khanhnto-v63-mkmlizer: 
pytorch_model.bin:   0%|          | 0.00/1.44G [00:00<?, ?B/s]
pytorch_model.bin:   1%|          | 10.5M/1.44G [00:00<00:18, 78.2MB/s]
pytorch_model.bin:   4%|▎         | 52.4M/1.44G [00:00<00:05, 235MB/s] 
pytorch_model.bin:   6%|▌         | 83.9M/1.44G [00:00<00:05, 252MB/s]
pytorch_model.bin:  11%|█         | 157M/1.44G [00:00<00:03, 394MB/s] 
pytorch_model.bin:  20%|██        | 294M/1.44G [00:00<00:01, 662MB/s]
pytorch_model.bin:  28%|██▊       | 409M/1.44G [00:00<00:01, 808MB/s]
pytorch_model.bin:  41%|████▏     | 598M/1.44G [00:00<00:00, 1.10GB/s]
pytorch_model.bin:  54%|█████▍    | 786M/1.44G [00:00<00:00, 1.27GB/s]
pytorch_model.bin:  65%|██████▍   | 933M/1.44G [00:01<00:00, 1.30GB/s]
pytorch_model.bin:  93%|█████████▎| 1.34G/1.44G [00:01<00:00, 2.06GB/s]
pytorch_model.bin: 100%|█████████▉| 1.44G/1.44G [00:01<00:00, 1.04GB/s]
khanhnto-khanhnto-v63-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
khanhnto-khanhnto-v63-mkmlizer: Saving duration: 0.468s
khanhnto-khanhnto-v63-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 4.755s
khanhnto-khanhnto-v63-mkmlizer: creating bucket guanaco-reward-models
khanhnto-khanhnto-v63-mkmlizer: Bucket 's3://guanaco-reward-models/' created
khanhnto-khanhnto-v63-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/config.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/special_tokens_map.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/merges.txt
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/vocab.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/tokenizer_config.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/tokenizer.json
khanhnto-khanhnto-v63-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/khanhnto-khanhnto-v63_reward/reward.tensors
Job khanhnto-khanhnto-v63-mkmlizer completed after 74.47s with status: succeeded
Stopping job with name khanhnto-khanhnto-v63-mkmlizer
Pipeline stage MKMLizer completed in 77.98s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service khanhnto-khanhnto-v63
Waiting for inference service khanhnto-khanhnto-v63 to be ready
Inference service khanhnto-khanhnto-v63 ready after 40.278650760650635s
Pipeline stage ISVCDeployer completed in 47.41s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.877716064453125s
Received healthy response to inference request in 1.233809471130371s
Received healthy response to inference request in 1.3810577392578125s
Received healthy response to inference request in 1.395538568496704s
Received healthy response to inference request in 1.3440394401550293s
5 requests
0 failed requests
5th percentile: 1.2558554649353026
10th percentile: 1.2779014587402344
20th percentile: 1.3219934463500977
30th percentile: 1.351443099975586
40th percentile: 1.3662504196166991
50th percentile: 1.3810577392578125
60th percentile: 1.386850070953369
70th percentile: 1.3926424026489257
80th percentile: 1.4919740676879885
90th percentile: 1.6848450660705567
95th percentile: 1.7812805652618406
99th percentile: 1.8584289646148682
mean time: 1.4464322566986083
Pipeline stage StressChecker completed in 8.04s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.05s
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
khanhnto-khanhnto_v63 status is now deployed due to DeploymentManager action
khanhnto-khanhnto_v63 status is now inactive due to auto deactivation removed underperforming models
khanhnto-khanhnto_v63 status is now deployed due to admin request
khanhnto-khanhnto_v63 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of khanhnto-khanhnto_v63
Running pipeline stage ISVCDeleter
Checking if service khanhnto-khanhnto-v63 is running
Tearing down inference service khanhnto-khanhnto-v63
Toredown service khanhnto-khanhnto-v63
Pipeline stage ISVCDeleter completed in 2.95s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v63/added_tokens.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v63/config.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v63/mkml_model.tensors from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v63/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v63/tokenizer.json from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v63/tokenizer.model from bucket guanaco-mkml-models
Deleting key khanhnto-khanhnto-v63/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key khanhnto-khanhnto-v63_reward/config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v63_reward/merges.txt from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v63_reward/reward.tensors from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v63_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v63_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v63_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key khanhnto-khanhnto-v63_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 2.71s
khanhnto-khanhnto_v63 status is now torndown due to DeploymentManager action

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
zonemercy	1	1	1275.51	1275.51	0.75	4615.0	zonemercy-burly-blue-cp2500_v5	8B	zonemercy/Burly_Blue_cp2500	zonemercy-burly-blue-cp2500_v5	7875	339951	0.61	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	zonemercy/Burly_Blue_cp2	2024-07-19	1.69	1.73	1	1	7	63
PawanOsman	2	2	1277.66	1277.66	0.75	977.0	pawankrd-cosmosrp_v77	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v77	10992	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.74	1.46	2	2	5	108
albert_chai	3	3	1272.90	1274.39	0.74	1338.0	chaiml-elo-alignment-run-3_v11	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	11278	517812	0.61	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-19	1.64	1.32	3	3	17	133
PawanOsman	4	2	1274.95	1277.66	0.74	1001.0	pawankrd-cosmosrp_v76	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v76	10908	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.68	1.19	4	2	8	159
PawanOsman	5	2	1273.23	1277.66	0.74	1068.0	pawankrd-cosmosrp_v79	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v79	10793	3743033	0.57	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.65	1.13	6	2	15	173
zonemercy	6	3	1274.39	1274.39	0.74	5230.0	chaiml-elo-alignment-run-3_v5	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	49847	517812	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.67	1.06	7	3	10	196
PawanOsman	7	2	1274.16	1277.66	0.74	1197.0	pawankrd-cosmosrp_v78	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v78	12920	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-20	1.67	1.02	8	2	11	207
PawanOsman	8	2	1273.36	1277.66	0.73	1196.0	pawankrd-cosmosrp_v73	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v73	13819	3743033	0.61	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-18	1.65	0.98	12	2	14	221
Bbbrun0	9	9	1245.56	1249.15	0.76	2407.0	bbchicago-brt-8b-l3-v1-7_4895_v2	8B	BBChicago/Brt-8B-L3_v1.7_with_dpo_lora_s2500	bbchicago-brt-v1_7-dpo-s2500	6018	252425	0.56	0.57	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	BBChicago/Brt-8B-L3_v1.7	2024-07-18	1.07	2.03	5	5	139	39
PawanOsman	10	2	1268.86	1277.66	0.74	1548.0	pawankrd-cosmosrp_v72	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v72	12678	3743033	0.60	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-18	1.56	1.11	9	2	37	183
zonemercy	11	3	1274.11	1274.39	0.73	10695.0	chaiml-elo-alignment-run-3_v8	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v8	210506	517812	0.58	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-15	1.67	0.78	26	3	12	292
PawanOsman	12	2	1272.55	1277.66	0.73	1746.0	pawankrd-cosmosrp_v71	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v71	24610	3743033	0.62	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-17	1.63	0.84	19	2	19	264
zonemercy	13	1	1268.26	1275.51	0.74	5187.0	zonemercy-burly-blue-cp2500_v1	8B	zonemercy/Burly_Blue_cp2500	zonemercy-burly-blue-cp2500_v1	61164	339951	0.61	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	zonemercy/Burly_Blue_cp2	2024-07-14	1.54	0.99	15	1	40	217
PawanOsman	14	2	1269.81	1277.66	0.73	5002.0	pawankrd-cosmosrp_v69	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v69	132481	3743033	0.59	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-16	1.58	0.89	16	2	31	240
zonemercy	15	3	1269.24	1274.39	0.73	5476.0	chaiml-elo-alignment-run-3_v4	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	50315	517812	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.56	0.87	20	3	36	248
shiroe40	16	16	1265.80	1268.63	0.74	982.0	cycy233-l3-ba-e-v0-c1_v1	8B	cycy233/L3-ba-e-v0-c1	auto	10550	97172	0.57	0.59	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-ba-e-v0-c1	2024-07-25	1.49	0.99	17	17	56	218
PawanOsman	17	2	1269.53	1277.66	0.73	5657.0	pawankrd-cosmosrp_v64	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v64	53413	3743033	0.57	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-12	1.57	0.83	24	2	33	268
Jellywibble	18	18	1267.33	1275.73	0.73	5329.0	jellywibble-lora-120k-pr_2801_v2	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	nitral-ai-hathor-l3-8b-v-01_v1	30298	2088354	0.60	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-09	1.52	0.91	18	18	45	236
zonemercy	19	3	1266.00	1274.39	0.73	5639.0	chaiml-elo-alignment-run-3_v3	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	11314	517812	0.62	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.50	0.92	21	3	55	234
PawanOsman	20	2	1267.86	1277.66	0.73	6358.0	pawankrd-cosmosrp_v65	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v65	64112	3743033	0.58	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-13	1.54	0.77	32	2	42	297
zonemercy	21	18	1263.88	1275.73	0.73	5947.0	jellywibble-lora-120k-pr_2801_v7	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	nitral-ai-hathor-l3-8b-v-01_v1	11856	2088354	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-12	1.45	0.92	25	18	70	233
zonemercy	22	3	1270.55	1274.39	0.73	5801.0	chaiml-elo-alignment-run-3_v6	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	52400	517812	0.57	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.59	0.64	46	3	26	351
PawanOsman	23	2	1272.13	1277.66	0.72	50018.0	pawankrd-cosmosrp_v66	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v66	353310	3743033	0.56	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-13	1.62	0.57	61	2	22	405
zonemercy	24	18	1264.34	1275.73	0.73	5613.0	jellywibble-lora-120k-pr_2801_v6	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	jellywibble-lora-120k-pr_2801_v6	11193	2088354	0.62	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-12	1.46	0.85	28	18	69	258
zonemercy	25	3	1265.42	1274.39	0.73	12064.0	chaiml-elo-alignment-run_5486_v1	8B	ChaiML/elo_alignment_run_3_ep1	dpo-v2-0710-rm-score-completed	25153	517812	0.59	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.48	0.79	36	3	60	288
Bbbrun0	26	26	1245.75	1250.31	0.75	861.0	bbchicago-brt-8b-l3-v1-9_2176_v1	8B	BBChicago/Brt-8B-L3_v1.9_with_dpo_lora_s5900	bbchicago-brt-v1_9-dpo-s5900	19612	104643	0.55	0.56	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	BBChicago/Brt-8B-L3_v1.9	2024-07-24	1.08	1.54	10	10	136	96
zonemercy	27	27	1277.90	1289.39	0.72	12582.0	chaiml-elo-run-3-cp7000_v1	8B	ChaiML/elo_run_3_cp7000	nitral-ai-hathor-l3-8b-v-01_v1	24560	447562	0.62	0.64	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_run_3_cp7000	2024-07-12	1.74	0.28	114	114	4	595
zonemercy	28	3	1247.11	1274.39	0.75	5478.0	chaiml-elo-alignment-run-3_v7	8B	ChaiML/elo_alignment_run_3	chaiml-elo-alignment-run-3_v3	57438	517812	0.58	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	4.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-13	1.10	1.47	11	3	128	105
shiroe40	29	29	1270.90	1272.37	0.72	1741.0	cycy233-l3-e-v2-c1_v2	8B	cycy233/L3-e-v2-c1	auto	6789	213067	0.58	0.61	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-e-v2-c1	2024-07-19	1.60	0.54	66	47	24	422
zonemercy	30	27	1283.93	1289.39	0.71	5498.0	chaiml-elo-run-3-cp7000_v4	8B	ChaiML/elo_run_3_cp7000	nitral-ai-hathor-l3-8b-v-01_v1	60274	447562	0.64	0.64	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_run_3_cp7000	2024-07-13	1.87	0.02	194	114	3	790
Jellywibble	31	18	1267.83	1275.73	0.73	5387.0	jellywibble-lora-120k-pr_2801_v1	8B	Jellywibble/lora_120k_pref_data_ep3_stacked_elo_alignment	nitral-ai-hathor-l3-8b-v-01_v1	32742	2088354	0.60	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	Jellywibble/lora_120k_pr	2024-07-07	1.53	0.64	53	18	43	352
shiroe40	32	32	1247.39	1247.39	0.75	1005.0	cycy233-l3-bc-v0-c1_v1	8B	cycy233/L3-bc-v0-c1	auto	11910	60109	0.56	0.57	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-bc-v0-c1	2024-07-20	1.11	1.43	13	13	126	114
Bbbrun0	33	9	1243.96	1249.15	0.75	1038.0	bbchicago-brt-8b-l3-v1-_4895_v21	8B	BBChicago/Brt-8B-L3_v1.7_with_dpo_lora_s2500	brt-v1_7-dpo-s2500-llama3	8648	252425	0.56	0.57	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	BBChicago/Brt-8B-L3_v1.7	2024-07-24	1.04	1.55	14	5	156	92
zonemercy	34	3	1272.24	1274.39	0.72	9387.0	chaiml-elo-alignment-run-3_v2	8B	ChaiML/elo_alignment_run_3	dpo-v2-0710-rm-score-completed	18961	517812	0.61	0.62	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	ChaiML/elo_alignment_run	2024-07-12	1.63	0.45	81	3	21	471
PawanOsman	35	2	1273.06	1277.66	0.72	1517.0	pawankrd-cosmosrp_v74	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v74	12447	3743033	0.61	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-18	1.64	0.41	88	2	16	508
PawanOsman	36	36	1260.89	1270.66	0.73	1199.0	pawankrd-cosmosrp-llama31_v3	8B	PawanKrd/cosmosrp-llama31	cosmosrp-llama31-test	13253	75109	0.57	0.58	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/cosmosrp-llama3	2024-07-26	1.39	0.87	29	29	84	249
zonemercy	37	1	1265.45	1275.51	0.73	10766.0	zonemercy-burly-blue-cp2500_v3	8B	zonemercy/Burly_Blue_cp2500	zonemercy-burly-blue-cp2500_v3	209987	339951	0.57	0.61	basic	ChaiML/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	zonemercy/Burly_Blue_cp2	2024-07-15	1.49	0.68	50	1	59	331
PawanOsman	38	2	1269.91	1277.66	0.72	13292.0	pawankrd-cosmosrp_v67	8B	PawanKrd/CosmosRP	pawankrd-cosmosrp_v67	149072	3743033	0.60	0.75	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	PawanKrd/CosmosRP	2024-07-13	1.58	0.49	77	2	30	452
shiroe40	39	29	1263.13	1272.37	0.73	2448.0	cycy233-l3-e-v2-c1_v1	8B	cycy233/L3-e-v2-c1	auto	6322	213067	0.58	0.61	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-e-v2-c1	2024-07-18	1.44	0.75	47	47	73	305
shiroe40	40	16	1268.63	1268.63	0.72	1428.0	cycy233-l3-ba-e-v0-c1_v7	8B	cycy233/L3-ba-e-v0-c1	auto	16970	97172	0.59	0.59	basic	Jellywibble/gpt2_xl_pairwise_89m_step_347634	16.0	512.0	64.0	LlamaForCausalLM	cycy233/L3-ba-e-v0-c1	2024-07-25	1.55	0.52	72	17	38	428