submission_id: mistralai-mistral-nemo-_9330_v51
developer_uid: Jellywibble
alignment_samples: 13278
alignment_score: -0.89529304776521
best_of: 4
celo_rating: 1189.83
display_name: mistralai-mistral-nemo-_9330_v51
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': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64, 'reward_max_token_input': 250}
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: mistralai-mistral-nemo-_9330_v51
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 13278
num_wins: 5879
propriety_score: 0.7293835068054444
propriety_total_count: 1249.0
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: 2024-08-14T20:00:41+00:00
us_pacific_date: 2024-08-14
win_ratio: 0.44276246422654014
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v51-mkmlizer
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Starting job with name mistralai-mistral-nemo-9330-v51-mkmlizer
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mistralai-mistral-nemo-9330-v51-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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mistralai-mistral-nemo-9330-v51-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ https://mk1.ai ║
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mistralai-mistral-nemo-9330-v51-mkmlizer: ║ The license key for the current software has been verified as ║
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mistralai-mistral-nemo-9330-v51-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v51-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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Failed to get response for submission neversleep-noromaid-v0_8068_v142: ('http://neversleep-noromaid-v0-8068-v142-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:43710->127.0.0.1:8080: read: connection reset by peer\n')
mistralai-mistral-nemo-9330-v51-mkmlizer: Downloaded to shared memory in 50.916s
mistralai-mistral-nemo-9330-v51-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpx5wkywv5, device:0
mistralai-mistral-nemo-9330-v51-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v51-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v51-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v51-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v51
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v51/config.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v51/special_tokens_map.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v51/tokenizer_config.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v51/tokenizer.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v51/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v51-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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mistralai-mistral-nemo-9330-v51-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v51-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-v51-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v51-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-v51-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v51-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.42s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.01s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.22s/it]
mistralai-mistral-nemo-9330-v51-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.27it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.79it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.45it/s]
mistralai-mistral-nemo-9330-v51-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v51-mkmlizer: Saving duration: 1.388s
mistralai-mistral-nemo-9330-v51-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.302s
mistralai-mistral-nemo-9330-v51-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v51-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v51-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/config.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/merges.txt
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/vocab.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/tokenizer.json
mistralai-mistral-nemo-9330-v51-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v51_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v51-mkmlizer completed after 135.92s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v51-mkmlizer
Pipeline stage MKMLizer completed in 137.07s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v51
Waiting for inference service mistralai-mistral-nemo-9330-v51 to be ready
Inference service mistralai-mistral-nemo-9330-v51 ready after 221.48001646995544s
Pipeline stage ISVCDeployer completed in 222.29s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.5672597885131836s
Received healthy response to inference request in 1.6215977668762207s
Received healthy response to inference request in 1.5761685371398926s
Received healthy response to inference request in 0.9582169055938721s
Received healthy response to inference request in 1.236574411392212s
5 requests
0 failed requests
5th percentile: 1.01388840675354
10th percentile: 1.069559907913208
20th percentile: 1.180902910232544
30th percentile: 1.304493236541748
40th percentile: 1.4403308868408202
50th percentile: 1.5761685371398926
60th percentile: 1.5943402290344237
70th percentile: 1.6125119209289551
80th percentile: 1.8107301712036135
90th percentile: 2.1889949798583985
95th percentile: 2.378127384185791
99th percentile: 2.529433307647705
mean time: 1.5919634819030761
Pipeline stage StressChecker completed in 8.86s
mistralai-mistral-nemo-_9330_v51 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v51 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v51 status is now torndown due to DeploymentManager action

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