developer_uid: Nitral-AI
submission_id: nitral-ai-sekhmet-tahsin_7886_v2
model_name: Sekhmet_Tahsin-L3_1-8B-v0_4
model_group: Nitral-AI/Sekhmet_Tahsin
status: torndown
timestamp: 2024-08-07T20:42:24+00:00
num_battles: 15584
num_wins: 7899
celo_rating: 1224.22
family_friendly_score: 0.0
submission_type: basic
model_repo: Nitral-AI/Sekhmet_Tahsin-L3.1-8B-v0.4
model_architecture: LlamaForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 8030261248.0
best_of: 16
max_input_tokens: 512
max_output_tokens: 64
display_name: Sekhmet_Tahsin-L3_1-8B-v0_4
is_internal_developer: False
language_model: Nitral-AI/Sekhmet_Tahsin-L3.1-8B-v0.4
model_size: 8B
ranking_group: single
us_pacific_date: 2024-08-07
win_ratio: 0.5068660164271047
generation_params: {'temperature': 1.25, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 60, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '<|eot_id|>'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
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}
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'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer
Waiting for job on nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer to finish
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ /___/ ║
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ ║
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ Version: 0.9.9 ║
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ https://mk1.ai ║
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nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ The license key for the current software has been verified as ║
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nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ Chai Research Corp. ║
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Downloaded to shared memory in 22.259s
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpdr05h3gk, device:0
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: quantized model in 25.920s
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Processed model Nitral-AI/Sekhmet_Tahsin-L3.1-8B-v0.4 in 48.179s
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: creating bucket guanaco-mkml-models
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v2
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v2/config.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v2/special_tokens_map.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v2/tokenizer_config.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v2/tokenizer.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/nitral-ai-sekhmet-tahsin-7886-v2/flywheel_model.0.safetensors
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: warnings.warn(
nitral-ai-sekhmet-tahsin-7886-v2-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-v2-mkmlizer: warnings.warn(
nitral-ai-sekhmet-tahsin-7886-v2-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-v2-mkmlizer: warnings.warn(
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.34s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.13s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.31s/it]
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.41it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.97it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.62it/s]
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Saving duration: 1.354s
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 14.040s
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: creating bucket guanaco-reward-models
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: Bucket 's3://guanaco-reward-models/' created
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/tokenizer_config.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/special_tokens_map.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/config.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/merges.txt
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/vocab.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/tokenizer.json
nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/nitral-ai-sekhmet-tahsin-7886-v2_reward/reward.tensors
Job nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer completed after 94.59s with status: succeeded
Stopping job with name nitral-ai-sekhmet-tahsin-7886-v2-mkmlizer
Pipeline stage MKMLizer completed in 95.71s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.08s
Running pipeline stage ISVCDeployer
Creating inference service nitral-ai-sekhmet-tahsin-7886-v2
Waiting for inference service nitral-ai-sekhmet-tahsin-7886-v2 to be ready
Inference service nitral-ai-sekhmet-tahsin-7886-v2 ready after 191.14364576339722s
Pipeline stage ISVCDeployer completed in 193.06s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.4360311031341553s
Received healthy response to inference request in 1.487475872039795s
Received healthy response to inference request in 1.4484832286834717s
Received healthy response to inference request in 1.4421069622039795s
Received healthy response to inference request in 1.4922564029693604s
5 requests
0 failed requests
5th percentile: 1.4433822154998779
10th percentile: 1.4446574687957763
20th percentile: 1.4472079753875733
30th percentile: 1.4562817573547364
40th percentile: 1.4718788146972657
50th percentile: 1.487475872039795
60th percentile: 1.4893880844116212
70th percentile: 1.4913002967834472
80th percentile: 1.6810113430023195
90th percentile: 2.0585212230682375
95th percentile: 2.247276163101196
99th percentile: 2.3982801151275632
mean time: 1.6612707138061524
Pipeline stage StressChecker completed in 8.97s
nitral-ai-sekhmet-tahsin_7886_v2 status is now deployed due to DeploymentManager action
nitral-ai-sekhmet-tahsin_7886_v2 status is now inactive due to auto deactivation removed underperforming models
nitral-ai-sekhmet-tahsin_7886_v2 status is now torndown due to DeploymentManager action