submission_id: zonemercy-cogent-nemo-v1_3266_v5
developer_uid: zonemercy
alignment_samples: 0
best_of: 4
celo_rating: 1253.99
display_name: zonemercy-cogent-nemo-v1_3266_v5
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}:', 'truncate_by_message': False}
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n', '</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: zonemercy/Cogent-Nemo-v1-1k1e5
max_input_tokens: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: zonemercy/Cogent-Nemo-v1
model_name: zonemercy-cogent-nemo-v1_3266_v5
model_num_parameters: 12772070400.0
model_repo: zonemercy/Cogent-Nemo-v1-1k1e5
model_size: 13B
num_battles: 15368
num_wins: 8605
propriety_score: 0.6990504017531045
propriety_total_count: 1369.0
ranking_group: single
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-08T05:13:30+00:00
us_pacific_date: 2024-08-07
win_ratio: 0.5599297241020302
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name zonemercy-cogent-nemo-v1-3266-v5-mkmlizer
Waiting for job on zonemercy-cogent-nemo-v1-3266-v5-mkmlizer to finish
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ _____ __ __ ║
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zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ Version: 0.9.9 ║
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ https://mk1.ai ║
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zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ Chai Research Corp. ║
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Downloaded to shared memory in 58.858s
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpu5tc3zyx, device:0
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Saving flywheel model at /dev/shm/model_cache
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: quantized model in 39.765s
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Processed model zonemercy/Cogent-Nemo-v1-1k1e5 in 98.623s
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: creating bucket guanaco-mkml-models
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v5
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v5/config.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v5/special_tokens_map.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v5/tokenizer_config.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v5/tokenizer.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/zonemercy-cogent-nemo-v1-3266-v5/flywheel_model.0.safetensors
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: warnings.warn(
zonemercy-cogent-nemo-v1-3266-v5-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.
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: warnings.warn(
zonemercy-cogent-nemo-v1-3266-v5-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.
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: warnings.warn(
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.55s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.09s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.31s/it]
zonemercy-cogent-nemo-v1-3266-v5-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, 3.93it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.59it/s]
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Saving duration: 1.363s
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.795s
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: creating bucket guanaco-reward-models
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: Bucket 's3://guanaco-reward-models/' created
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/config.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/special_tokens_map.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/tokenizer_config.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/merges.txt
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/vocab.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/tokenizer.json
zonemercy-cogent-nemo-v1-3266-v5-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/zonemercy-cogent-nemo-v1-3266-v5_reward/reward.tensors
Job zonemercy-cogent-nemo-v1-3266-v5-mkmlizer completed after 146.93s with status: succeeded
Stopping job with name zonemercy-cogent-nemo-v1-3266-v5-mkmlizer
Pipeline stage MKMLizer completed in 147.97s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service zonemercy-cogent-nemo-v1-3266-v5
Waiting for inference service zonemercy-cogent-nemo-v1-3266-v5 to be ready
Inference service zonemercy-cogent-nemo-v1-3266-v5 ready after 201.2737820148468s
Pipeline stage ISVCDeployer completed in 202.84s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.350038528442383s
Received healthy response to inference request in 1.5706250667572021s
Received healthy response to inference request in 1.5755071640014648s
Received healthy response to inference request in 1.8378982543945312s
Received healthy response to inference request in 1.5744493007659912s
5 requests
0 failed requests
5th percentile: 1.57138991355896
10th percentile: 1.5721547603607178
20th percentile: 1.5736844539642334
30th percentile: 1.574660873413086
40th percentile: 1.5750840187072754
50th percentile: 1.5755071640014648
60th percentile: 1.6804636001586915
70th percentile: 1.7854200363159178
80th percentile: 1.9403263092041017
90th percentile: 2.145182418823242
95th percentile: 2.2476104736328124
99th percentile: 2.3295529174804686
mean time: 1.7817036628723144
Pipeline stage StressChecker completed in 9.77s
zonemercy-cogent-nemo-v1_3266_v5 status is now deployed due to DeploymentManager action
zonemercy-cogent-nemo-v1_3266_v5 status is now inactive due to auto deactivation removed underperforming models
Pipeline stage MKMLModelDeleter completed in 7.01s
zonemercy-cogent-nemo-v1_3266_v5 status is now torndown due to DeploymentManager action

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