submission_id: mistralai-mistral-nemo-_9330_v43
developer_uid: chai_backend_admin
alignment_samples: 10734
alignment_score: -0.5223567626312128
best_of: 16
celo_rating: 1216.78
display_name: mistralai-mistral-nemo-_9330_v43
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': True}
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': ['</s>', '###', 'You:', '\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: mistralai-mistral-nemo-_9330_v43
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 10734
num_wins: 5260
propriety_score: 0.7267876200640342
propriety_total_count: 937.0
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-12T22:06:08+00:00
us_pacific_date: 2024-08-12
win_ratio: 0.49003167505123907
Download Preference Data
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v43-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v43-mkmlizer to finish
mistralai-mistral-nemo-9330-v43-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ belonging to: ║
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mistralai-mistral-nemo-9330-v43-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v43-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v43-mkmlizer: Downloaded to shared memory in 51.534s
mistralai-mistral-nemo-9330-v43-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp18_tvrqa, device:0
mistralai-mistral-nemo-9330-v43-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v43-mkmlizer: quantized model in 36.345s
mistralai-mistral-nemo-9330-v43-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 87.879s
mistralai-mistral-nemo-9330-v43-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v43-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v43-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v43
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v43/special_tokens_map.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v43/config.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v43/tokenizer_config.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v43/tokenizer.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v43/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v43-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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mistralai-mistral-nemo-9330-v43-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v43-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-v43-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v43-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-v43-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v43-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.45s/it] Downloading shards: 100%|██████████| 2/2 [00:11<00:00, 6.06s/it] Downloading shards: 100%|██████████| 2/2 [00:11<00:00, 5.97s/it]
mistralai-mistral-nemo-9330-v43-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.33it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.88it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.52it/s]
mistralai-mistral-nemo-9330-v43-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v43-mkmlizer: Saving duration: 1.355s
mistralai-mistral-nemo-9330-v43-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 17.212s
mistralai-mistral-nemo-9330-v43-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v43-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v43-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/config.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/merges.txt
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/vocab.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/tokenizer.json
mistralai-mistral-nemo-9330-v43-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v43_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v43-mkmlizer completed after 135.98s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v43-mkmlizer
Pipeline stage MKMLizer completed in 136.80s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v43
Waiting for inference service mistralai-mistral-nemo-9330-v43 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service mistralai-mistral-nemo-9330-v43 ready after 211.34498143196106s
Pipeline stage ISVCDeployer completed in 212.88s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.3728432655334473s
Received healthy response to inference request in 1.3511962890625s
Received healthy response to inference request in 1.2868201732635498s
Received healthy response to inference request in 1.6325719356536865s
Received healthy response to inference request in 1.6732852458953857s
5 requests
0 failed requests
5th percentile: 1.2996953964233398
10th percentile: 1.31257061958313
20th percentile: 1.33832106590271
30th percentile: 1.4074714183807373
40th percentile: 1.520021677017212
50th percentile: 1.6325719356536865
60th percentile: 1.6488572597503661
70th percentile: 1.665142583847046
80th percentile: 1.8131968498229982
90th percentile: 2.0930200576782227
95th percentile: 2.232931661605835
99th percentile: 2.344860944747925
mean time: 1.6633433818817138
Pipeline stage StressChecker completed in 9.02s
mistralai-mistral-nemo-_9330_v43 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v43 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v43 status is now torndown due to DeploymentManager action

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