submission_id: teknium-openhermes-2-5-mistr_v21
developer_uid: chai_backend_admin
status: inactive
model_repo: teknium/OpenHermes-2.5-Mistral-7B
reward_repo: rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
generation_params: {'temperature': 0.99, 'top_p': 0.8, 'top_k': 30, 'presence_penalty': 0.1, 'frequency_penalty': 0.3, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, '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': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:'}
timestamp: 2024-03-02T23:45:32+00:00
model_name: teknium-openhermes-2-5-mistr_v21
model_eval_status: success
safety_score: 0.94
entertaining: 6.76
stay_in_character: 8.65
user_preference: 7.12
double_thumbs_up: 3117
thumbs_up: 4869
thumbs_down: 2627
num_battles: 176833
num_wins: 91399
win_ratio: 0.5168661957892475
celo_rating: 1165.68
Resubmit model
Running pipeline stage MKMLizer
Starting job with name teknium-openhermes-2-5-mistr-v21-mkmlizer
Waiting for job on teknium-openhermes-2-5-mistr-v21-mkmlizer to finish
teknium-openhermes-2-5-mistr-v21-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ _____ __ __ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ /___/ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ Version: 0.6.11 ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ The license key for the current software has been verified as ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ belonging to: ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ Chai Research Corp. ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ Expiration: 2024-04-15 23:59:59 ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ║ ║
teknium-openhermes-2-5-mistr-v21-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
teknium-openhermes-2-5-mistr-v21-mkmlizer: .gitattributes: 0%| | 0.00/1.52k [00:00<?, ?B/s] .gitattributes: 100%|██████████| 1.52k/1.52k [00:00<00:00, 14.7MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: README.md: 0%| | 0.00/14.8k [00:00<?, ?B/s] README.md: 100%|██████████| 14.8k/14.8k [00:00<00:00, 99.8MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: added_tokens.json: 0%| | 0.00/51.0 [00:00<?, ?B/s] added_tokens.json: 100%|██████████| 51.0/51.0 [00:00<00:00, 679kB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: config.json: 0%| | 0.00/624 [00:00<?, ?B/s] config.json: 100%|██████████| 624/624 [00:00<00:00, 8.42MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: generation_config.json: 0%| | 0.00/120 [00:00<?, ?B/s] generation_config.json: 100%|██████████| 120/120 [00:00<00:00, 1.74MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00001-of-00002.safetensors: 0%| | 0.00/9.94G [00:00<?, ?B/s] model-00001-of-00002.safetensors: 0%| | 10.5M/9.94G [00:00<01:56, 85.3MB/s] model-00001-of-00002.safetensors: 0%| | 21.0M/9.94G [00:00<01:56, 85.2MB/s] model-00001-of-00002.safetensors: 1%| | 83.9M/9.94G [00:00<00:36, 267MB/s] model-00001-of-00002.safetensors: 1%| | 115M/9.94G [00:00<00:35, 274MB/s] model-00001-of-00002.safetensors: 2%|▏ | 178M/9.94G [00:00<00:25, 380MB/s] model-00001-of-00002.safetensors: 3%|▎ | 262M/9.94G [00:00<00:19, 496MB/s] model-00001-of-00002.safetensors: 4%|▍ | 388M/9.94G [00:00<00:13, 706MB/s] model-00001-of-00002.safetensors: 5%|▌ | 524M/9.94G [00:00<00:10, 888MB/s] model-00001-of-00002.safetensors: 7%|▋ | 661M/9.94G [00:01<00:09, 1.02GB/s] model-00001-of-00002.safetensors: 8%|▊ | 765M/9.94G [00:01<00:10, 909MB/s] model-00001-of-00002.safetensors: 9%|▊ | 860M/9.94G [00:01<00:11, 821MB/s] model-00001-of-00002.safetensors: 10%|▉ | 954M/9.94G [00:01<00:12, 727MB/s] model-00001-of-00002.safetensors: 10%|█ | 1.04G/9.94G [00:01<00:12, 712MB/s] model-00001-of-00002.safetensors: 11%|█▏ | 1.12G/9.94G [00:01<00:13, 668MB/s] model-00001-of-00002.safetensors: 13%|█▎ | 1.31G/9.94G [00:01<00:09, 934MB/s] model-00001-of-00002.safetensors: 15%|█▌ | 1.50G/9.94G [00:01<00:07, 1.14GB/s] model-00001-of-00002.safetensors: 17%|█▋ | 1.71G/9.94G [00:02<00:06, 1.33GB/s] model-00001-of-00002.safetensors: 19%|█▊ | 1.86G/9.94G [00:02<00:06, 1.18GB/s] model-00001-of-00002.safetensors: 20%|█▉ | 1.98G/9.94G [00:02<00:07, 1.07GB/s] model-00001-of-00002.safetensors: 21%|██ | 2.10G/9.94G [00:02<00:07, 1.08GB/s] model-00001-of-00002.safetensors: 22%|██▏ | 2.23G/9.94G [00:02<00:06, 1.13GB/s] model-00001-of-00002.safetensors: 24%|██▍ | 2.39G/9.94G [00:02<00:06, 1.24GB/s] model-00001-of-00002.safetensors: 26%|██▋ | 2.61G/9.94G [00:02<00:04, 1.49GB/s] model-00001-of-00002.safetensors: 28%|██▊ | 2.77G/9.94G [00:02<00:04, 1.49GB/s] model-00001-of-00002.safetensors: 29%|██▉ | 2.93G/9.94G [00:03<00:04, 1.47GB/s] model-00001-of-00002.safetensors: 31%|███ | 3.08G/9.94G [00:03<00:05, 1.35GB/s] model-00001-of-00002.safetensors: 33%|███▎ | 3.30G/9.94G [00:03<00:04, 1.56GB/s] model-00001-of-00002.safetensors: 35%|███▍ | 3.47G/9.94G [00:03<00:05, 1.20GB/s] model-00001-of-00002.safetensors: 37%|███▋ | 3.67G/9.94G [00:03<00:04, 1.37GB/s] model-00001-of-00002.safetensors: 38%|███▊ | 3.83G/9.94G [00:03<00:05, 1.10GB/s] model-00001-of-00002.safetensors: 40%|███▉ | 3.96G/9.94G [00:03<00:05, 1.01GB/s] model-00001-of-00002.safetensors: 41%|████ | 4.08G/9.94G [00:04<00:05, 995MB/s] model-00001-of-00002.safetensors: 43%|████▎ | 4.28G/9.94G [00:04<00:04, 1.21GB/s] model-00001-of-00002.safetensors: 45%|████▍ | 4.42G/9.94G [00:04<00:04, 1.22GB/s] model-00001-of-00002.safetensors: 46%|████▌ | 4.57G/9.94G [00:04<00:04, 1.25GB/s] model-00001-of-00002.safetensors: 48%|████▊ | 4.78G/9.94G [00:04<00:03, 1.38GB/s] model-00001-of-00002.safetensors: 50%|████▉ | 4.93G/9.94G [00:04<00:03, 1.31GB/s] model-00001-of-00002.safetensors: 51%|█████ | 5.06G/9.94G [00:04<00:04, 1.10GB/s] model-00001-of-00002.safetensors: 52%|█████▏ | 5.19G/9.94G [00:04<00:04, 1.11GB/s] model-00001-of-00002.safetensors: 55%|█████▍ | 5.43G/9.94G [00:05<00:03, 1.42GB/s] model-00001-of-00002.safetensors: 56%|█████▌ | 5.59G/9.94G [00:05<00:03, 1.38GB/s] model-00001-of-00002.safetensors: 58%|█████▊ | 5.75G/9.94G [00:05<00:03, 1.32GB/s] model-00001-of-00002.safetensors: 59%|█████▉ | 5.90G/9.94G [00:05<00:03, 1.32GB/s] model-00001-of-00002.safetensors: 61%|██████ | 6.04G/9.94G [00:05<00:03, 1.20GB/s] model-00001-of-00002.safetensors: 62%|██████▏ | 6.17G/9.94G [00:05<00:03, 1.14GB/s] model-00001-of-00002.safetensors: 64%|██████▎ | 6.32G/9.94G [00:05<00:02, 1.25GB/s] model-00001-of-00002.safetensors: 65%|██████▌ | 6.50G/9.94G [00:05<00:02, 1.33GB/s] model-00001-of-00002.safetensors: 67%|██████▋ | 6.65G/9.94G [00:06<00:02, 1.18GB/s] model-00001-of-00002.safetensors: 68%|██████▊ | 6.77G/9.94G [00:06<00:02, 1.14GB/s] model-00001-of-00002.safetensors: 69%|██████▉ | 6.91G/9.94G [00:06<00:02, 1.19GB/s] model-00001-of-00002.safetensors: 71%|███████ | 7.04G/9.94G [00:06<00:02, 1.02GB/s] model-00001-of-00002.safetensors: 72%|███████▏ | 7.15G/9.94G [00:06<00:02, 989MB/s] model-00001-of-00002.safetensors: 73%|███████▎ | 7.26G/9.94G [00:06<00:02, 987MB/s] model-00001-of-00002.safetensors: 75%|███████▌ | 7.50G/9.94G [00:06<00:01, 1.34GB/s] model-00001-of-00002.safetensors: 77%|███████▋ | 7.64G/9.94G [00:06<00:01, 1.19GB/s] model-00001-of-00002.safetensors: 78%|███████▊ | 7.78G/9.94G [00:07<00:02, 1.05GB/s] model-00001-of-00002.safetensors: 79%|███████▉ | 7.90G/9.94G [00:07<00:02, 1.01GB/s] model-00001-of-00002.safetensors: 81%|████████ | 8.01G/9.94G [00:07<00:01, 997MB/s] model-00001-of-00002.safetensors: 82%|████████▏ | 8.12G/9.94G [00:07<00:02, 911MB/s] model-00001-of-00002.safetensors: 83%|████████▎ | 8.25G/9.94G [00:07<00:01, 997MB/s] model-00001-of-00002.safetensors: 85%|████████▍ | 8.45G/9.94G [00:07<00:01, 1.25GB/s] model-00001-of-00002.safetensors: 87%|████████▋ | 8.63G/9.94G [00:07<00:00, 1.34GB/s] model-00001-of-00002.safetensors: 88%|████████▊ | 8.80G/9.94G [00:07<00:00, 1.41GB/s] model-00001-of-00002.safetensors: 90%|████████▉ | 8.94G/9.94G [00:08<00:00, 1.20GB/s] model-00001-of-00002.safetensors: 91%|█████████▏| 9.09G/9.94G [00:08<00:00, 1.24GB/s] model-00001-of-00002.safetensors: 94%|█████████▎| 9.30G/9.94G [00:08<00:00, 1.46GB/s] model-00001-of-00002.safetensors: 100%|█████████▉| 9.94G/9.94G [00:08<00:00, 1.16GB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00002-of-00002.safetensors: 0%| | 0.00/4.54G [00:00<?, ?B/s] model-00002-of-00002.safetensors: 0%| | 10.5M/4.54G [00:00<02:28, 30.4MB/s] model-00002-of-00002.safetensors: 0%| | 21.0M/4.54G [00:00<01:35, 47.2MB/s] model-00002-of-00002.safetensors: 1%|▏ | 62.9M/4.54G [00:00<00:30, 148MB/s] model-00002-of-00002.safetensors: 6%|▋ | 294M/4.54G [00:00<00:05, 744MB/s] model-00002-of-00002.safetensors: 9%|▉ | 398M/4.54G [00:00<00:05, 817MB/s] model-00002-of-00002.safetensors: 11%|█ | 503M/4.54G [00:00<00:05, 747MB/s] model-00002-of-00002.safetensors: 13%|█▎ | 598M/4.54G [00:01<00:05, 665MB/s] model-00002-of-00002.safetensors: 17%|█▋ | 755M/4.54G [00:01<00:04, 866MB/s] model-00002-of-00002.safetensors: 19%|█▉ | 860M/4.54G [00:01<00:05, 658MB/s] model-00002-of-00002.safetensors: 21%|██ | 944M/4.54G [00:01<00:05, 689MB/s] model-00002-of-00002.safetensors: 23%|██▎ | 1.06G/4.54G [00:01<00:04, 750MB/s] model-00002-of-00002.safetensors: 25%|██▌ | 1.15G/4.54G [00:01<00:04, 782MB/s] model-00002-of-00002.safetensors: 27%|██▋ | 1.25G/4.54G [00:02<00:04, 692MB/s] model-00002-of-00002.safetensors: 29%|██▉ | 1.33G/4.54G [00:02<00:04, 699MB/s] model-00002-of-00002.safetensors: 31%|███ | 1.42G/4.54G [00:02<00:04, 714MB/s] model-00002-of-00002.safetensors: 33%|███▎ | 1.51G/4.54G [00:02<00:04, 756MB/s] model-00002-of-00002.safetensors: 36%|███▌ | 1.61G/4.54G [00:02<00:03, 821MB/s] model-00002-of-00002.safetensors: 38%|███▊ | 1.71G/4.54G [00:02<00:03, 789MB/s] model-00002-of-00002.safetensors: 40%|███▉ | 1.80G/4.54G [00:02<00:03, 822MB/s] model-00002-of-00002.safetensors: 42%|████▏ | 1.90G/4.54G [00:02<00:03, 759MB/s] model-00002-of-00002.safetensors: 44%|████▎ | 1.98G/4.54G [00:02<00:03, 767MB/s] model-00002-of-00002.safetensors: 48%|████▊ | 2.16G/4.54G [00:03<00:02, 1.03GB/s] model-00002-of-00002.safetensors: 51%|█████ | 2.30G/4.54G [00:03<00:02, 1.04GB/s] model-00002-of-00002.safetensors: 54%|█████▎ | 2.43G/4.54G [00:03<00:01, 1.12GB/s] model-00002-of-00002.safetensors: 58%|█████▊ | 2.63G/4.54G [00:03<00:01, 1.32GB/s] model-00002-of-00002.safetensors: 61%|██████ | 2.77G/4.54G [00:03<00:01, 1.26GB/s] model-00002-of-00002.safetensors: 64%|██████▍ | 2.90G/4.54G [00:03<00:01, 1.26GB/s] model-00002-of-00002.safetensors: 67%|██████▋ | 3.04G/4.54G [00:03<00:01, 1.13GB/s] model-00002-of-00002.safetensors: 70%|██████▉ | 3.18G/4.54G [00:03<00:01, 1.13GB/s] model-00002-of-00002.safetensors: 73%|███████▎ | 3.29G/4.54G [00:04<00:01, 1.09GB/s] model-00002-of-00002.safetensors: 75%|███████▌ | 3.41G/4.54G [00:04<00:01, 1.03GB/s] model-00002-of-00002.safetensors: 78%|███████▊ | 3.54G/4.54G [00:04<00:00, 1.10GB/s] model-00002-of-00002.safetensors: 82%|████████▏ | 3.70G/4.54G [00:04<00:00, 1.22GB/s] model-00002-of-00002.safetensors: 87%|████████▋ | 3.95G/4.54G [00:04<00:00, 1.56GB/s] model-00002-of-00002.safetensors: 95%|█████████▌| 4.32G/4.54G [00:04<00:00, 2.13GB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 958MB/s] model-00002-of-00002.safetensors: 100%|█████████▉| 4.54G/4.54G [00:05<00:00, 885MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model.safetensors.index.json: 0%| | 0.00/25.1k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 25.1k/25.1k [00:00<00:00, 94.4MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: pytorch_model.bin.index.json: 0%| | 0.00/23.9k [00:00<?, ?B/s] pytorch_model.bin.index.json: 100%|██████████| 23.9k/23.9k [00:00<00:00, 173MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: special_tokens_map.json: 0%| | 0.00/101 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 101/101 [00:00<00:00, 1.63MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: Profiling: 0%| | 0/291 [00:00<?, ?it/s] Profiling: 0%| | 1/291 [00:02<12:20, 2.55s/it] Profiling: 4%|▍ | 12/291 [00:02<00:45, 6.19it/s] Profiling: 8%|▊ | 23/291 [00:02<00:20, 13.33it/s] Profiling: 13%|█▎ | 39/291 [00:02<00:09, 26.16it/s] Profiling: 17%|█▋ | 50/291 [00:03<00:06, 34.77it/s] Profiling: 23%|██▎ | 66/291 [00:03<00:04, 51.14it/s] Profiling: 27%|██▋ | 78/291 [00:03<00:03, 57.75it/s] Profiling: 31%|███▏ | 91/291 [00:03<00:02, 70.44it/s] Profiling: 35%|███▌ | 103/291 [00:03<00:02, 77.87it/s] Profiling: 40%|███▉ | 116/291 [00:03<00:01, 88.39it/s] Profiling: 44%|████▍ | 129/291 [00:03<00:01, 97.97it/s] Profiling: 49%|████▉ | 142/291 [00:03<00:01, 105.62it/s] Profiling: 53%|█████▎ | 155/291 [00:03<00:01, 104.66it/s] Profiling: 58%|█████▊ | 169/291 [00:04<00:01, 110.95it/s] Profiling: 62%|██████▏ | 181/291 [00:04<00:01, 107.24it/s] Profiling: 67%|██████▋ | 196/291 [00:04<00:00, 116.05it/s] Profiling: 72%|███████▏ | 209/291 [00:06<00:04, 18.41it/s] Profiling: 76%|███████▌ | 221/291 [00:06<00:02, 23.95it/s] Profiling: 80%|████████ | 234/291 [00:06<00:01, 31.64it/s] Profiling: 85%|████████▍ | 247/291 [00:06<00:01, 40.85it/s] Profiling: 89%|████████▊ | 258/291 [00:06<00:00, 47.08it/s] Profiling: 93%|█████████▎| 270/291 [00:06<00:00, 57.16it/s] Profiling: 97%|█████████▋| 281/291 [00:07<00:00, 52.27it/s] Profiling: 100%|█████████▉| 290/291 [00:07<00:00, 53.22it/s] Profiling: 100%|██████████| 291/291 [00:07<00:00, 38.14it/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
teknium-openhermes-2-5-mistr-v21-mkmlizer: Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
teknium-openhermes-2-5-mistr-v21-mkmlizer: quantized model in 18.511s
teknium-openhermes-2-5-mistr-v21-mkmlizer: Processed model teknium/OpenHermes-2.5-Mistral-7B in 35.265s
teknium-openhermes-2-5-mistr-v21-mkmlizer: creating bucket guanaco-mkml-models
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /dev/shm/model_cache/mkml_model.tensors s3://guanaco-mkml-models/teknium-openhermes-2-5-mistr-v21/mkml_model.tensors
teknium-openhermes-2-5-mistr-v21-mkmlizer: loading reward model from rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99
teknium-openhermes-2-5-mistr-v21-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.
teknium-openhermes-2-5-mistr-v21-mkmlizer: warnings.warn(
teknium-openhermes-2-5-mistr-v21-mkmlizer: config.json: 0%| | 0.00/983 [00:00<?, ?B/s] config.json: 100%|██████████| 983/983 [00:00<00:00, 10.2MB/s]
teknium-openhermes-2-5-mistr-v21-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.
teknium-openhermes-2-5-mistr-v21-mkmlizer: warnings.warn(
teknium-openhermes-2-5-mistr-v21-mkmlizer: tokenizer_config.json: 0%| | 0.00/445 [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 445/445 [00:00<00:00, 4.10MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: vocab.json: 0%| | 0.00/798k [00:00<?, ?B/s] vocab.json: 100%|██████████| 798k/798k [00:00<00:00, 62.6MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s] merges.txt: 100%|██████████| 456k/456k [00:00<00:00, 36.8MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: tokenizer.json: 0%| | 0.00/2.11M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.1MB/s] tokenizer.json: 100%|██████████| 2.11M/2.11M [00:00<00:00, 17.0MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: special_tokens_map.json: 0%| | 0.00/441 [00:00<?, ?B/s] special_tokens_map.json: 100%|██████████| 441/441 [00:00<00:00, 5.69MB/s]
teknium-openhermes-2-5-mistr-v21-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.
teknium-openhermes-2-5-mistr-v21-mkmlizer: warnings.warn(
teknium-openhermes-2-5-mistr-v21-mkmlizer: model.safetensors.index.json: 0%| | 0.00/10.5k [00:00<?, ?B/s] model.safetensors.index.json: 100%|██████████| 10.5k/10.5k [00:00<00:00, 67.8MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: Downloading shards: 0%| | 0/1 [00:00<?, ?it/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00001-of-00001.safetensors: 0%| | 0.00/249M [00:00<?, ?B/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00001-of-00001.safetensors: 4%|▍ | 10.5M/249M [00:00<00:13, 17.5MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00001-of-00001.safetensors: 13%|█▎ | 31.5M/249M [00:00<00:04, 50.2MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00001-of-00001.safetensors: 21%|██ | 52.4M/249M [00:00<00:02, 72.7MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: model-00001-of-00001.safetensors: 41%|████ | 102M/249M [00:01<00:00, 153MB/s]  model-00001-of-00001.safetensors: 100%|█████████▉| 249M/249M [00:01<00:00, 221MB/s]
teknium-openhermes-2-5-mistr-v21-mkmlizer: Downloading shards: 100%|██████████| 1/1 [00:01<00:00, 1.49s/it] Downloading shards: 100%|██████████| 1/1 [00:01<00:00, 1.49s/it]
teknium-openhermes-2-5-mistr-v21-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
teknium-openhermes-2-5-mistr-v21-mkmlizer: Saving duration: 0.112s
teknium-openhermes-2-5-mistr-v21-mkmlizer: Processed model rirv938/gpt2_ties_merge_preference_plus_classic_e2_density_99 in 8.978s
teknium-openhermes-2-5-mistr-v21-mkmlizer: creating bucket guanaco-reward-models
teknium-openhermes-2-5-mistr-v21-mkmlizer: Bucket 's3://guanaco-reward-models/' created
teknium-openhermes-2-5-mistr-v21-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/special_tokens_map.json
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/tokenizer_config.json
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/config.json
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/merges.txt
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/vocab.json
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/tokenizer.json
teknium-openhermes-2-5-mistr-v21-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/teknium-openhermes-2-5-mistr-v21_reward/reward.tensors
Job teknium-openhermes-2-5-mistr-v21-mkmlizer completed after 64.21s with status: succeeded
Stopping job with name teknium-openhermes-2-5-mistr-v21-mkmlizer
Pipeline stage MKMLizer completed in 68.07s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service teknium-openhermes-2-5-mistr-v21
Waiting for inference service teknium-openhermes-2-5-mistr-v21 to be ready
Inference service teknium-openhermes-2-5-mistr-v21 ready after 40.471909284591675s
Pipeline stage ISVCDeployer completed in 48.74s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.3084828853607178s
Received healthy response to inference request in 0.9657032489776611s
Received healthy response to inference request in 0.7430846691131592s
Received healthy response to inference request in 0.8586685657501221s
Received healthy response to inference request in 0.744096040725708s
5 requests
0 failed requests
5th percentile: 0.7432869434356689
10th percentile: 0.7434892177581787
20th percentile: 0.7438937664031983
30th percentile: 0.7670105457305908
40th percentile: 0.8128395557403565
50th percentile: 0.8586685657501221
60th percentile: 0.9014824390411377
70th percentile: 0.9442963123321533
80th percentile: 1.0342591762542725
90th percentile: 1.1713710308074952
95th percentile: 1.2399269580841064
99th percentile: 1.2947716999053955
mean time: 0.9240070819854737
Pipeline stage StressChecker completed in 5.47s
Running pipeline stage DaemonicModelEvalScorer
Pipeline stage DaemonicModelEvalScorer completed in 0.04s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.06s
Running M-Eval for topic stay_in_character
M-Eval Dataset for topic stay_in_character is loaded
teknium-openhermes-2-5-mistr_v21 status is now inactive due to auto deactivation removed underperforming models
teknium-openhermes-2-5-mistr_v21 status is now deployed due to admin request
teknium-openhermes-2-5-mistr_v21 status is now inactive due to auto deactivation removed underperforming models

Usage Metrics

Latency Metrics