submission_id: nitral-ai-sekhmet-tahsin_7886_v1
developer_uid: Nitral-AI
alignment_samples: 0
best_of: 16
celo_rating: 1226.62
display_name: Sekhmet_Tahsin-L3-1-8B-v0-4
formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.2, 'top_p': 1.0, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|end_header_id|>,', '<|eot_id|>,', '\n\n{user_name}', 'You:', '\n\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: False
language_model: Nitral-AI/Sekhmet_Tahsin-L3.1-8B-v0.4
max_input_tokens: 512
max_output_tokens: 64
model_architecture: LlamaForCausalLM
model_group: Nitral-AI/Sekhmet_Tahsin
model_name: Sekhmet_Tahsin-L3-1-8B-v0-4
model_num_parameters: 8030261248.0
model_repo: Nitral-AI/Sekhmet_Tahsin-L3.1-8B-v0.4
model_size: 8B
num_battles: 15850
num_wins: 8099
propriety_score: 0.718772826880935
propriety_total_count: 1369.0
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: Jellywibble/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-07T20:39:00+00:00
us_pacific_date: 2024-08-07
win_ratio: 0.5109779179810725
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer
Waiting for job on nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer to finish
Stopping job with name nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer
%s, retrying in %s seconds...
Starting job with name nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer
Waiting for job on nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer to finish
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ _____ __ __ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ /___/ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ Version: 0.9.9 ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ https://mk1.ai ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ The license key for the current software has been verified as ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ belonging to: ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ║ ║
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Downloaded to shared memory in 32.367s
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5gye87n0, device:0
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: quantized model in 26.551s
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Processed model Nitral-AI/Sekhmet_Tahsin-L3.1-8B-v0.4 in 58.918s
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v1
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v1/config.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v1/special_tokens_map.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v1/tokenizer_config.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v1/tokenizer.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v1/flywheel_model.0.safetensors
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: loading reward model from Jellywibble/gpt2_xl_pairwise_89m_step_347634
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Loading 0: 0%| | 0/291 [00:00<?, ?it/s] Loading 0: 1%| | 2/291 [00:04<11:37, 2.42s/it] Loading 0: 2%|▏ | 6/291 [00:04<03:05, 1.54it/s] Loading 0: 4%|▍ | 13/291 [00:05<01:06, 4.20it/s] Loading 0: 6%|▌ | 17/291 [00:05<00:45, 6.06it/s] Loading 0: 8%|▊ | 23/291 [00:05<00:27, 9.75it/s] Loading 0: 10%|▉ | 29/291 [00:05<00:19, 13.66it/s] Loading 0: 12%|█▏ | 34/291 [00:05<00:14, 17.36it/s] Loading 0: 14%|█▍ | 41/291 [00:05<00:10, 24.23it/s] Loading 0: 16%|█▌ | 47/291 [00:05<00:08, 27.81it/s] Loading 0: 18%|█▊ | 52/291 [00:05<00:07, 30.98it/s] Loading 0: 20%|██ | 59/291 [00:06<00:06, 38.14it/s] Loading 0: 22%|██▏ | 65/291 [00:06<00:08, 27.41it/s] Loading 0: 24%|██▍ | 70/291 [00:06<00:07, 29.80it/s] Loading 0: 26%|██▋ | 77/291 [00:06<00:05, 36.43it/s] Loading 0: 29%|██▊ | 83/291 [00:06<00:05, 37.34it/s] Loading 0: 30%|███ | 88/291 [00:06<00:05, 38.95it/s] Loading 0: 33%|███▎ | 95/291 [00:06<00:04, 45.24it/s] Loading 0: 35%|███▍ | 101/291 [00:07<00:04, 43.70it/s] Loading 0: 36%|███▋ | 106/291 [00:07<00:04, 43.35it/s] Loading 0: 39%|███▉ | 113/291 [00:07<00:03, 48.52it/s] Loading 0: 41%|████ | 119/291 [00:07<00:03, 45.27it/s] Loading 0: 43%|████▎ | 124/291 [00:07<00:03, 43.54it/s] Loading 0: 45%|████▌ | 131/291 [00:07<00:03, 48.61it/s] Loading 0: 47%|████▋ | 137/291 [00:07<00:03, 45.47it/s] Loading 0: 49%|████▉ | 142/291 [00:08<00:03, 45.04it/s] Loading 0: 51%|█████ | 149/291 [00:08<00:02, 50.27it/s] Loading 0: 53%|█████▎ | 155/291 [00:08<00:02, 47.07it/s] Loading 0: 55%|█████▍ | 160/291 [00:08<00:02, 46.06it/s] Loading 0: 57%|█████▋ | 166/291 [00:08<00:03, 32.08it/s] Loading 0: 59%|█████▉ | 171/291 [00:08<00:03, 35.33it/s] Loading 0: 60%|██████ | 176/291 [00:08<00:03, 37.97it/s] Loading 0: 62%|██████▏ | 181/291 [00:09<00:02, 40.73it/s] Loading 0: 64%|██████▍ | 186/291 [00:09<00:02, 35.11it/s] Loading 0: 67%|██████▋ | 194/291 [00:09<00:02, 43.98it/s] Loading 0: 68%|██████▊ | 199/291 [00:09<00:02, 45.29it/s] Loading 0: 70%|███████ | 204/291 [00:09<00:02, 39.03it/s] Loading 0: 73%|███████▎ | 212/291 [00:09<00:01, 47.63it/s] Loading 0: 75%|███████▍ | 218/291 [00:09<00:01, 45.13it/s] Loading 0: 77%|███████▋ | 223/291 [00:09<00:01, 45.14it/s] Loading 0: 79%|███████▉ | 230/291 [00:10<00:01, 50.41it/s] Loading 0: 81%|████████ | 236/291 [00:10<00:01, 47.31it/s] Loading 0: 83%|████████▎ | 241/291 [00:10<00:01, 46.37it/s] Loading 0: 85%|████████▌ | 248/291 [00:10<00:00, 51.86it/s] Loading 0: 87%|████████▋ | 254/291 [00:10<00:00, 48.09it/s] Loading 0: 89%|████████▉ | 259/291 [00:10<00:00, 47.76it/s] Loading 0: 91%|█████████▏| 266/291 [00:10<00:00, 35.38it/s] Loading 0: 93%|█████████▎| 272/291 [00:11<00:00, 36.49it/s] Loading 0: 95%|█████████▌| 277/291 [00:11<00:00, 37.12it/s] Loading 0: 97%|█████████▋| 283/291 [00:11<00:00, 41.87it/s] Loading 0: 99%|█████████▉| 288/291 [00:11<00:00, 43.43it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: warnings.warn(
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:785: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: warnings.warn(
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:469: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: warnings.warn(
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Saving duration: 1.454s
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Processed model Jellywibble/gpt2_xl_pairwise_89m_step_347634 in 12.557s
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/config.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/special_tokens_map.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/tokenizer_config.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/merges.txt
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/vocab.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/tokenizer.json
nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v1_reward/reward.tensors
Job nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer completed after 104.44s with status: succeeded
Stopping job with name nitral-ai-sekhmet-tahsin-7886-v1-mkmlizer
Pipeline stage MKMLizer completed in 106.10s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-sekhmet-tahsin-7886-v1
Waiting for inference service nitral-ai-sekhmet-tahsin-7886-v1 to be ready
Inference service nitral-ai-sekhmet-tahsin-7886-v1 ready after 191.15869235992432s
Pipeline stage ISVCDeployer completed in 192.80s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3010213375091553s
Received healthy response to inference request in 1.4986367225646973s
Received healthy response to inference request in 1.4526946544647217s
Received healthy response to inference request in 1.446967363357544s
Received healthy response to inference request in 1.5060765743255615s
5 requests
0 failed requests
5th percentile: 1.4481128215789796
10th percentile: 1.449258279800415
20th percentile: 1.451549196243286
30th percentile: 1.4618830680847168
40th percentile: 1.480259895324707
50th percentile: 1.4986367225646973
60th percentile: 1.501612663269043
70th percentile: 1.5045886039733887
80th percentile: 1.6650655269622805
90th percentile: 1.9830434322357178
95th percentile: 2.1420323848724365
99th percentile: 2.2692235469818116
mean time: 1.6410793304443358
Pipeline stage StressChecker completed in 9.18s
nitral-ai-sekhmet-tahsin_7886_v1 status is now deployed due to DeploymentManager action
nitral-ai-sekhmet-tahsin_7886_v1 status is now inactive due to auto deactivation removed underperforming models
nitral-ai-sekhmet-tahsin_7886_v1 status is now torndown due to DeploymentManager action

Usage Metrics

Latency Metrics