submission_id: hflserdaniel-chai-s6-13_2318_v17
developer_uid: chai_backend_admin
status: inactive
model_repo: hflserdaniel/chai_s6_13b_slp3
reward_repo: ChaiML/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': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 1, '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}:'}
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}:'}
timestamp: 2024-04-02T07:23:29+00:00
model_name: auto_submit_ricum_wipucesega
model_eval_status: success
safety_score: 0.94
entertaining: 6.89
stay_in_character: 8.38
user_preference: 7.2
double_thumbs_up: 43
thumbs_up: 69
thumbs_down: 39
num_battles: 5195
num_wins: 2237
win_ratio: 0.43060635226179017
celo_rating: 1113.59
Resubmit model
Running pipeline stage MKMLizer
Starting job with name hflserdaniel-chai-s6-13-2318-v17-mkmlizer
Waiting for job on hflserdaniel-chai-s6-13-2318-v17-mkmlizer to finish
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ _____ __ __ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ /___/ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ Version: 0.6.11 ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ The license key for the current software has been verified as ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ belonging to: ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ Chai Research Corp. ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ║ ║
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 13.6MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: README.md: 0%| | 0.00/949 [00:00<?, ?B/s] README.md: 100%|██████████| 949/949 [00:00<00:00, 11.4MB/s]
hflserdaniel-chai-s6-13-2318-v17-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, 329kB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: config.json: 0%| | 0.00/738 [00:00<?, ?B/s] config.json: 100%|██████████| 738/738 [00:00<00:00, 9.50MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: mergekit_config.yml: 0%| | 0.00/370 [00:00<?, ?B/s] mergekit_config.yml: 100%|██████████| 370/370 [00:00<00:00, 3.98MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: model-00001-of-00003.safetensors: 0%| | 0.00/9.95G [00:00<?, ?B/s] model-00001-of-00003.safetensors: 0%| | 10.5M/9.95G [00:00<02:45, 60.0MB/s] model-00001-of-00003.safetensors: 0%| | 21.0M/9.95G [00:00<02:38, 62.5MB/s] model-00001-of-00003.safetensors: 2%|▏ | 157M/9.95G [00:00<00:19, 493MB/s] model-00001-of-00003.safetensors: 2%|▏ | 241M/9.95G [00:00<00:18, 528MB/s] model-00001-of-00003.safetensors: 3%|▎ | 304M/9.95G [00:00<00:25, 379MB/s] model-00001-of-00003.safetensors: 4%|▎ | 357M/9.95G [00:00<00:25, 379MB/s] model-00001-of-00003.safetensors: 5%|▍ | 472M/9.95G [00:01<00:17, 551MB/s] model-00001-of-00003.safetensors: 13%|█▎ | 1.26G/9.95G [00:01<00:03, 2.31GB/s] model-00001-of-00003.safetensors: 16%|█▌ | 1.55G/9.95G [00:01<00:03, 2.39GB/s] model-00001-of-00003.safetensors: 18%|█▊ | 1.84G/9.95G [00:01<00:03, 2.25GB/s] model-00001-of-00003.safetensors: 21%|██ | 2.10G/9.95G [00:01<00:04, 1.68GB/s] model-00001-of-00003.safetensors: 23%|██▎ | 2.31G/9.95G [00:01<00:05, 1.53GB/s] model-00001-of-00003.safetensors: 25%|██▌ | 2.50G/9.95G [00:01<00:04, 1.59GB/s] model-00001-of-00003.safetensors: 28%|██▊ | 2.74G/9.95G [00:02<00:04, 1.76GB/s] model-00001-of-00003.safetensors: 32%|███▏ | 3.19G/9.95G [00:02<00:02, 2.33GB/s] model-00001-of-00003.safetensors: 35%|███▍ | 3.46G/9.95G [00:02<00:02, 2.37GB/s] model-00001-of-00003.safetensors: 37%|███▋ | 3.72G/9.95G [00:02<00:02, 2.25GB/s] model-00001-of-00003.safetensors: 40%|███▉ | 3.96G/9.95G [00:02<00:02, 2.09GB/s] model-00001-of-00003.safetensors: 43%|████▎ | 4.24G/9.95G [00:02<00:02, 2.21GB/s] model-00001-of-00003.safetensors: 45%|████▍ | 4.47G/9.95G [00:02<00:02, 2.00GB/s] model-00001-of-00003.safetensors: 47%|████▋ | 4.68G/9.95G [00:02<00:02, 2.02GB/s] model-00001-of-00003.safetensors: 49%|████▉ | 4.89G/9.95G [00:03<00:02, 1.94GB/s] model-00001-of-00003.safetensors: 51%|█████▏ | 5.12G/9.95G [00:03<00:02, 2.00GB/s] model-00001-of-00003.safetensors: 54%|█████▎ | 5.33G/9.95G [00:03<00:02, 1.68GB/s] model-00001-of-00003.safetensors: 56%|█████▌ | 5.57G/9.95G [00:03<00:02, 1.84GB/s] model-00001-of-00003.safetensors: 58%|█████▊ | 5.79G/9.95G [00:03<00:02, 1.76GB/s] model-00001-of-00003.safetensors: 61%|██████ | 6.09G/9.95G [00:03<00:01, 2.04GB/s] model-00001-of-00003.safetensors: 63%|██████▎ | 6.31G/9.95G [00:03<00:01, 1.97GB/s] model-00001-of-00003.safetensors: 66%|██████▌ | 6.52G/9.95G [00:03<00:01, 1.87GB/s] model-00001-of-00003.safetensors: 69%|██████▊ | 6.82G/9.95G [00:04<00:01, 2.15GB/s] model-00001-of-00003.safetensors: 71%|███████ | 7.05G/9.95G [00:04<00:01, 1.77GB/s] model-00001-of-00003.safetensors: 73%|███████▎ | 7.27G/9.95G [00:04<00:01, 1.85GB/s] model-00001-of-00003.safetensors: 75%|███████▌ | 7.47G/9.95G [00:04<00:01, 1.83GB/s] model-00001-of-00003.safetensors: 78%|███████▊ | 7.74G/9.95G [00:04<00:01, 2.04GB/s] model-00001-of-00003.safetensors: 80%|███████▉ | 7.96G/9.95G [00:04<00:00, 2.01GB/s] model-00001-of-00003.safetensors: 82%|████████▏ | 8.18G/9.95G [00:04<00:00, 2.05GB/s] model-00001-of-00003.safetensors: 84%|████████▍ | 8.40G/9.95G [00:04<00:00, 1.84GB/s] model-00001-of-00003.safetensors: 86%|████████▋ | 8.60G/9.95G [00:05<00:00, 1.80GB/s] model-00001-of-00003.safetensors: 89%|████████▉ | 8.84G/9.95G [00:05<00:00, 1.91GB/s] model-00001-of-00003.safetensors: 92%|█████████▏| 9.11G/9.95G [00:05<00:00, 2.11GB/s] model-00001-of-00003.safetensors: 94%|█████████▍| 9.35G/9.95G [00:05<00:00, 2.18GB/s] model-00001-of-00003.safetensors: 100%|█████████▉| 9.95G/9.95G [00:05<00:00, 1.82GB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: model-00002-of-00003.safetensors: 0%| | 0.00/9.90G [00:00<?, ?B/s] model-00002-of-00003.safetensors: 0%| | 10.5M/9.90G [00:00<04:23, 37.5MB/s] model-00002-of-00003.safetensors: 0%| | 21.0M/9.90G [00:00<02:51, 57.7MB/s] model-00002-of-00003.safetensors: 2%|▏ | 210M/9.90G [00:00<00:15, 627MB/s] model-00002-of-00003.safetensors: 4%|▎ | 357M/9.90G [00:00<00:10, 871MB/s] model-00002-of-00003.safetensors: 5%|▍ | 472M/9.90G [00:00<00:10, 913MB/s] model-00002-of-00003.safetensors: 8%|▊ | 776M/9.90G [00:00<00:06, 1.49GB/s] model-00002-of-00003.safetensors: 10%|▉ | 944M/9.90G [00:00<00:05, 1.54GB/s] model-00002-of-00003.safetensors: 12%|█▏ | 1.16G/9.90G [00:01<00:05, 1.72GB/s] model-00002-of-00003.safetensors: 14%|█▎ | 1.35G/9.90G [00:01<00:05, 1.55GB/s] model-00002-of-00003.safetensors: 15%|█▌ | 1.53G/9.90G [00:01<00:05, 1.50GB/s] model-00002-of-00003.safetensors: 17%|█▋ | 1.69G/9.90G [00:01<00:05, 1.41GB/s] model-00002-of-00003.safetensors: 19%|█▉ | 1.91G/9.90G [00:01<00:05, 1.57GB/s] model-00002-of-00003.safetensors: 21%|██ | 2.10G/9.90G [00:01<00:04, 1.63GB/s] model-00002-of-00003.safetensors: 23%|██▎ | 2.32G/9.90G [00:01<00:04, 1.74GB/s] model-00002-of-00003.safetensors: 26%|██▌ | 2.54G/9.90G [00:01<00:04, 1.78GB/s] model-00002-of-00003.safetensors: 28%|██▊ | 2.73G/9.90G [00:02<00:05, 1.20GB/s] model-00002-of-00003.safetensors: 30%|██▉ | 2.97G/9.90G [00:02<00:04, 1.43GB/s] model-00002-of-00003.safetensors: 33%|███▎ | 3.24G/9.90G [00:02<00:03, 1.67GB/s] model-00002-of-00003.safetensors: 35%|███▍ | 3.44G/9.90G [00:02<00:05, 1.25GB/s] model-00002-of-00003.safetensors: 36%|███▋ | 3.60G/9.90G [00:02<00:04, 1.29GB/s] model-00002-of-00003.safetensors: 38%|███▊ | 3.75G/9.90G [00:02<00:04, 1.26GB/s] model-00002-of-00003.safetensors: 40%|████ | 3.98G/9.90G [00:03<00:03, 1.49GB/s] model-00002-of-00003.safetensors: 44%|████▎ | 4.33G/9.90G [00:03<00:02, 1.95GB/s] model-00002-of-00003.safetensors: 46%|████▌ | 4.55G/9.90G [00:03<00:02, 1.97GB/s] model-00002-of-00003.safetensors: 48%|████▊ | 4.77G/9.90G [00:03<00:02, 2.00GB/s] model-00002-of-00003.safetensors: 50%|█████ | 4.99G/9.90G [00:03<00:02, 1.76GB/s] model-00002-of-00003.safetensors: 53%|█████▎ | 5.22G/9.90G [00:03<00:02, 1.85GB/s] model-00002-of-00003.safetensors: 55%|█████▌ | 5.45G/9.90G [00:03<00:02, 1.96GB/s] model-00002-of-00003.safetensors: 58%|█████▊ | 5.73G/9.90G [00:03<00:01, 2.14GB/s] model-00002-of-00003.safetensors: 60%|██████ | 5.97G/9.90G [00:03<00:01, 2.22GB/s] model-00002-of-00003.safetensors: 63%|██████▎ | 6.20G/9.90G [00:04<00:01, 2.02GB/s] model-00002-of-00003.safetensors: 65%|██████▍ | 6.41G/9.90G [00:04<00:01, 2.03GB/s] model-00002-of-00003.safetensors: 67%|██████▋ | 6.62G/9.90G [00:04<00:01, 1.93GB/s] model-00002-of-00003.safetensors: 69%|██████▉ | 6.83G/9.90G [00:04<00:01, 1.94GB/s] model-00002-of-00003.safetensors: 71%|███████ | 7.03G/9.90G [00:04<00:01, 1.93GB/s] model-00002-of-00003.safetensors: 73%|███████▎ | 7.25G/9.90G [00:04<00:01, 1.98GB/s] model-00002-of-00003.safetensors: 75%|███████▌ | 7.46G/9.90G [00:04<00:01, 2.01GB/s] model-00002-of-00003.safetensors: 78%|███████▊ | 7.72G/9.90G [00:04<00:01, 2.17GB/s] model-00002-of-00003.safetensors: 80%|████████ | 7.94G/9.90G [00:04<00:00, 2.12GB/s] model-00002-of-00003.safetensors: 82%|████████▏ | 8.16G/9.90G [00:04<00:00, 2.09GB/s] model-00002-of-00003.safetensors: 85%|████████▍ | 8.39G/9.90G [00:05<00:00, 2.15GB/s] model-00002-of-00003.safetensors: 87%|████████▋ | 8.61G/9.90G [00:05<00:00, 1.72GB/s] model-00002-of-00003.safetensors: 91%|█████████ | 8.99G/9.90G [00:05<00:00, 2.19GB/s] model-00002-of-00003.safetensors: 93%|█████████▎| 9.23G/9.90G [00:05<00:00, 2.17GB/s] model-00002-of-00003.safetensors: 98%|█████████▊| 9.67G/9.90G [00:05<00:00, 2.76GB/s] model-00002-of-00003.safetensors: 100%|█████████▉| 9.90G/9.90G [00:05<00:00, 1.75GB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: model-00003-of-00003.safetensors: 0%| | 0.00/6.18G [00:00<?, ?B/s] model-00003-of-00003.safetensors: 0%| | 10.5M/6.18G [00:00<04:20, 23.7MB/s] model-00003-of-00003.safetensors: 0%| | 21.0M/6.18G [00:00<02:37, 39.0MB/s] model-00003-of-00003.safetensors: 1%| | 62.9M/6.18G [00:00<01:02, 97.4MB/s] model-00003-of-00003.safetensors: 1%|▏ | 83.9M/6.18G [00:00<00:57, 105MB/s] model-00003-of-00003.safetensors: 2%|▏ | 126M/6.18G [00:01<00:36, 164MB/s] model-00003-of-00003.safetensors: 3%|▎ | 199M/6.18G [00:01<00:20, 288MB/s] model-00003-of-00003.safetensors: 7%|▋ | 409M/6.18G [00:01<00:08, 716MB/s] model-00003-of-00003.safetensors: 17%|█▋ | 1.07G/6.18G [00:01<00:02, 2.20GB/s] model-00003-of-00003.safetensors: 23%|██▎ | 1.45G/6.18G [00:01<00:01, 2.50GB/s] model-00003-of-00003.safetensors: 28%|██▊ | 1.74G/6.18G [00:01<00:02, 1.71GB/s] model-00003-of-00003.safetensors: 32%|███▏ | 1.97G/6.18G [00:02<00:03, 1.36GB/s] model-00003-of-00003.safetensors: 35%|███▍ | 2.16G/6.18G [00:02<00:02, 1.45GB/s] model-00003-of-00003.safetensors: 39%|███▊ | 2.38G/6.18G [00:02<00:02, 1.60GB/s] model-00003-of-00003.safetensors: 43%|████▎ | 2.65G/6.18G [00:02<00:01, 1.81GB/s] model-00003-of-00003.safetensors: 49%|████▊ | 3.01G/6.18G [00:02<00:01, 2.19GB/s] model-00003-of-00003.safetensors: 53%|█████▎ | 3.27G/6.18G [00:02<00:01, 2.22GB/s] model-00003-of-00003.safetensors: 57%|█████▋ | 3.54G/6.18G [00:02<00:01, 2.27GB/s] model-00003-of-00003.safetensors: 61%|██████▏ | 3.80G/6.18G [00:02<00:01, 2.02GB/s] model-00003-of-00003.safetensors: 66%|██████▌ | 4.06G/6.18G [00:03<00:00, 2.16GB/s] model-00003-of-00003.safetensors: 69%|██████▉ | 4.29G/6.18G [00:03<00:00, 2.00GB/s] model-00003-of-00003.safetensors: 73%|███████▎ | 4.51G/6.18G [00:03<00:00, 1.67GB/s] model-00003-of-00003.safetensors: 80%|███████▉ | 4.92G/6.18G [00:03<00:00, 2.21GB/s] model-00003-of-00003.safetensors: 86%|████████▌ | 5.32G/6.18G [00:03<00:00, 2.64GB/s] model-00003-of-00003.safetensors: 91%|█████████ | 5.61G/6.18G [00:03<00:00, 2.59GB/s] model-00003-of-00003.safetensors: 96%|█████████▋| 5.95G/6.18G [00:03<00:00, 2.72GB/s] model-00003-of-00003.safetensors: 100%|█████████▉| 6.18G/6.18G [00:03<00:00, 1.61GB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: model.safetensors.index.json: 0%| | 0.00/28.4k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 28.4k/28.4k [00:00<00:00, 134MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: special_tokens_map.json: 0%| | 0.00/549 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 549/549 [00:00<00:00, 8.53MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: tokenizer.json: 0%| | 0.00/1.84M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 4.51MB/s] tokenizer.json: 100%|██████████| 1.84M/1.84M [00:00<00:00, 4.50MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: tokenizer.model: 0%| | 0.00/500k [00:00<?, ?B/s] tokenizer.model: 100%|██████████| 500k/500k [00:00<00:00, 67.0MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: tokenizer_config.json: 0%| | 0.00/1.12k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 1.12k/1.12k [00:00<00:00, 8.83MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Downloaded to shared memory in 19.658s
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: quantizing model to /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Saving mkml model at /dev/shm/model_cache
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Reading /tmp/tmpmg32lpl3/model.safetensors.index.json
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Profiling: 0%| | 0/363 [00:00<?, ?it/s] Profiling: 0%| | 1/363 [00:01<09:01, 1.50s/it] Profiling: 2%|▏ | 9/363 [00:01<00:46, 7.58it/s] Profiling: 5%|▌ | 19/363 [00:01<00:19, 17.67it/s] Profiling: 8%|▊ | 30/363 [00:01<00:11, 29.43it/s] Profiling: 11%|█ | 40/363 [00:01<00:08, 39.37it/s] Profiling: 14%|█▍ | 50/363 [00:02<00:06, 48.39it/s] Profiling: 17%|█▋ | 60/363 [00:02<00:05, 58.36it/s] Profiling: 20%|█▉ | 71/363 [00:02<00:04, 67.53it/s] Profiling: 22%|██▏ | 81/363 [00:02<00:03, 74.73it/s] Profiling: 25%|██▌ | 91/363 [00:02<00:03, 79.73it/s] Profiling: 28%|██▊ | 101/363 [00:02<00:03, 83.42it/s] Profiling: 31%|███ | 111/363 [00:02<00:02, 86.38it/s] Profiling: 33%|███▎ | 121/363 [00:02<00:02, 88.20it/s] Profiling: 36%|███▋ | 132/363 [00:02<00:02, 89.37it/s] Profiling: 39%|███▉ | 142/363 [00:03<00:05, 39.20it/s] Profiling: 42%|████▏ | 152/363 [00:03<00:04, 47.77it/s] Profiling: 45%|████▍ | 162/363 [00:03<00:03, 56.00it/s] Profiling: 47%|████▋ | 172/363 [00:03<00:02, 63.80it/s] Profiling: 50%|█████ | 183/363 [00:03<00:02, 70.72it/s] Profiling: 53%|█████▎ | 193/363 [00:04<00:02, 73.88it/s] Profiling: 56%|█████▌ | 203/363 [00:04<00:02, 76.29it/s] Profiling: 59%|█████▊ | 213/363 [00:04<00:01, 81.89it/s] Profiling: 61%|██████▏ | 223/363 [00:04<00:01, 85.16it/s] Profiling: 64%|██████▍ | 233/363 [00:04<00:01, 87.46it/s] Profiling: 67%|██████▋ | 243/363 [00:04<00:01, 89.29it/s] Profiling: 70%|██████▉ | 253/363 [00:04<00:01, 90.31it/s] Profiling: 73%|███████▎ | 264/363 [00:04<00:01, 91.00it/s] Profiling: 75%|███████▌ | 274/363 [00:04<00:01, 88.40it/s] Profiling: 78%|███████▊ | 283/363 [00:06<00:05, 14.33it/s] Profiling: 81%|████████ | 293/363 [00:07<00:03, 19.13it/s] Profiling: 83%|████████▎ | 303/363 [00:07<00:02, 24.93it/s] Profiling: 86%|████████▌ | 313/363 [00:07<00:01, 32.21it/s] Profiling: 89%|████████▉ | 323/363 [00:07<00:00, 40.21it/s] Profiling: 92%|█████████▏| 333/363 [00:07<00:00, 48.67it/s] Profiling: 94%|█████████▍| 343/363 [00:07<00:00, 57.10it/s] Profiling: 97%|█████████▋| 353/363 [00:07<00:00, 64.74it/s] Profiling: 100%|██████████| 363/363 [00:08<00:00, 44.71it/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: quantized model in 26.187s
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Processed model hflserdaniel/chai_s6_13b_slp3 in 47.436s
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/hflserdaniel-chai-s6-13-2318-v17/mkml_model.tensors
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: loading reward model from ChaiML/reward_gpt2_medium_preference_24m_e2
hflserdaniel-chai-s6-13-2318-v17-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.
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: config.json: 0%| | 0.00/1.05k [00:00<?, ?B/s] config.json: 100%|██████████| 1.05k/1.05k [00:00<00:00, 11.7MB/s]
hflserdaniel-chai-s6-13-2318-v17-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.
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: tokenizer_config.json: 0%| | 0.00/234 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 234/234 [00:00<00:00, 1.91MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s] vocab.json: 100%|██████████| 1.04M/1.04M [00:00<00:00, 33.8MB/s]
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 49.0MB/s]
hflserdaniel-chai-s6-13-2318-v17-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.
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: warnings.warn(
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Saving duration: 0.233s
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Processed model ChaiML/reward_gpt2_medium_preference_24m_e2 in 5.728s
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: creating bucket guanaco-reward-models
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: Bucket 's3://guanaco-reward-models/' created
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/tokenizer_config.json
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/vocab.json
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/special_tokens_map.json
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/merges.txt
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/config.json
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/tokenizer.json
hflserdaniel-chai-s6-13-2318-v17-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/hflserdaniel-chai-s6-13-2318-v17_reward/reward.tensors
Job hflserdaniel-chai-s6-13-2318-v17-mkmlizer completed after 74.01s with status: succeeded
Stopping job with name hflserdaniel-chai-s6-13-2318-v17-mkmlizer
Pipeline stage MKMLizer completed in 77.50s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.15s
Running pipeline stage ISVCDeployer
Creating inference service hflserdaniel-chai-s6-13-2318-v17
Waiting for inference service hflserdaniel-chai-s6-13-2318-v17 to be ready
Inference service hflserdaniel-chai-s6-13-2318-v17 ready after 50.262274980545044s
Pipeline stage ISVCDeployer completed in 57.05s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.086832284927368s
Received healthy response to inference request in 0.73392653465271s
Received healthy response to inference request in 0.7933146953582764s
Received healthy response to inference request in 0.7429654598236084s
Received healthy response to inference request in 1.084026575088501s
5 requests
0 failed requests
5th percentile: 0.7357343196868896
10th percentile: 0.7375421047210693
20th percentile: 0.7411576747894287
30th percentile: 0.753035306930542
40th percentile: 0.7731750011444092
50th percentile: 0.7933146953582764
60th percentile: 0.9095994472503662
70th percentile: 1.025884199142456
80th percentile: 1.2845877170562745
90th percentile: 1.6857100009918213
95th percentile: 1.8862711429595946
99th percentile: 2.0467200565338133
mean time: 1.0882131099700927
Pipeline stage StressChecker completed in 6.27s
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 0.07s
M-Eval Dataset for topic stay_in_character is loaded
hflserdaniel-chai-s6-13_2318_v17 status is now deployed due to DeploymentManager action
hflserdaniel-chai-s6-13_2318_v17 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics