submission_id: mistralai-mistral-nemo-_9330_v46
developer_uid: Jellywibble
alignment_samples: 11434
alignment_score: -0.7431108221836545
best_of: 16
celo_rating: 1223.83
display_name: nemo-reg
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': 0.95, 'top_p': 0.95, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 16, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: nemo-reg
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 11434
num_wins: 5736
propriety_score: 0.7057673509286413
propriety_total_count: 1023.0
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: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-12T23:57:32+00:00
us_pacific_date: 2024-08-12
win_ratio: 0.5016617106874235
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v46-mkmlizer
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Starting job with name mistralai-mistral-nemo-9330-v46-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v46-mkmlizer to finish
mistralai-mistral-nemo-9330-v46-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
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mistralai-mistral-nemo-9330-v46-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ https://mk1.ai ║
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mistralai-mistral-nemo-9330-v46-mkmlizer: ║ The license key for the current software has been verified as ║
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mistralai-mistral-nemo-9330-v46-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v46-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v46-mkmlizer: Downloaded to shared memory in 51.728s
mistralai-mistral-nemo-9330-v46-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp3bq4xjcc, device:0
mistralai-mistral-nemo-9330-v46-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v46-mkmlizer: quantized model in 35.397s
mistralai-mistral-nemo-9330-v46-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 87.126s
mistralai-mistral-nemo-9330-v46-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v46-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v46-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v46
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v46/config.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v46/special_tokens_map.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v46/tokenizer_config.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v46/tokenizer.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v46/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v46-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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mistralai-mistral-nemo-9330-v46-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v46-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.
mistralai-mistral-nemo-9330-v46-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v46-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.
mistralai-mistral-nemo-9330-v46-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v46-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.08s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 3.64s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 3.86s/it]
mistralai-mistral-nemo-9330-v46-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.42it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.96it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.62it/s]
mistralai-mistral-nemo-9330-v46-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v46-mkmlizer: Saving duration: 1.339s
mistralai-mistral-nemo-9330-v46-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 12.389s
mistralai-mistral-nemo-9330-v46-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v46-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v46-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/config.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/merges.txt
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/vocab.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/tokenizer.json
mistralai-mistral-nemo-9330-v46-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v46_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v46-mkmlizer completed after 137.37s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v46-mkmlizer
Pipeline stage MKMLizer completed in 138.87s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.10s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v46
Waiting for inference service mistralai-mistral-nemo-9330-v46 to be ready
Inference service mistralai-mistral-nemo-9330-v46 ready after 211.36926889419556s
Pipeline stage ISVCDeployer completed in 213.99s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.926825761795044s
Received healthy response to inference request in 1.9333481788635254s
Received healthy response to inference request in 1.8461112976074219s
Received healthy response to inference request in 1.781686544418335s
Received healthy response to inference request in 1.8364875316619873s
5 requests
0 failed requests
5th percentile: 1.7926467418670655
10th percentile: 1.8036069393157959
20th percentile: 1.8255273342132567
30th percentile: 1.8384122848510742
40th percentile: 1.842261791229248
50th percentile: 1.8461112976074219
60th percentile: 1.8810060501098633
70th percentile: 1.9159008026123048
80th percentile: 2.132043695449829
90th percentile: 2.529434728622437
95th percentile: 2.72813024520874
99th percentile: 2.887086658477783
mean time: 2.0648918628692625
Pipeline stage StressChecker completed in 11.17s
mistralai-mistral-nemo-_9330_v46 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v46 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v46 status is now torndown due to DeploymentManager action

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