submission_id: mistralai-mistral-nemo-_9330_v49
developer_uid: chai_backend_admin
alignment_samples: 12136
alignment_score: 1.2260841658242876
best_of: 1
celo_rating: 1125.89
display_name: mistralai-mistral-nemo-_9330_v49
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': 30000, 'best_of': 1, 'max_output_tokens': 64, 'reward_max_token_input': 256}
is_internal_developer: True
language_model: mistralai/Mistral-Nemo-Instruct-2407
max_input_tokens: 30000
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: mistralai-mistral-nemo-_9330_v49
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 12136
num_wins: 4445
propriety_score: 0.7144259077526988
propriety_total_count: 1019.0
ranking_group: single
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-14T03:45:21+00:00
us_pacific_date: 2024-08-13
win_ratio: 0.36626565589980226
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v49-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v49-mkmlizer to finish
mistralai-mistral-nemo-9330-v49-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ _____ __ __ ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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mistralai-mistral-nemo-9330-v49-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ /___/ ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ https://mk1.ai ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ The license key for the current software has been verified as ║
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mistralai-mistral-nemo-9330-v49-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v49-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v49-mkmlizer: Downloaded to shared memory in 49.100s
mistralai-mistral-nemo-9330-v49-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpibkd88f0, device:0
mistralai-mistral-nemo-9330-v49-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mistral-nemo-9330-v49-mkmlizer: quantized model in 37.015s
mistralai-mistral-nemo-9330-v49-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 86.115s
mistralai-mistral-nemo-9330-v49-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v49-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v49-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v49
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v49/config.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v49/special_tokens_map.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v49/tokenizer_config.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v49/tokenizer.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v49/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v49-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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mistralai-mistral-nemo-9330-v49-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v49-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-v49-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v49-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-v49-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v49-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.13it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.57it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.24it/s]
mistralai-mistral-nemo-9330-v49-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v49-mkmlizer: Saving duration: 1.427s
mistralai-mistral-nemo-9330-v49-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 16.514s
mistralai-mistral-nemo-9330-v49-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v49-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v49-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/tokenizer_config.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/config.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/special_tokens_map.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/merges.txt
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/vocab.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/tokenizer.json
mistralai-mistral-nemo-9330-v49-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v49_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v49-mkmlizer completed after 145.33s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v49-mkmlizer
Pipeline stage MKMLizer completed in 147.11s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v49
Waiting for inference service mistralai-mistral-nemo-9330-v49 to be ready
Failed to get response for submission zonemercy-burly-blue-cp2500_v5: ('http://zonemercy-burly-blue-cp2500-v5-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', 'read tcp 127.0.0.1:55738->127.0.0.1:8080: read: connection reset by peer\n')
Inference service mistralai-mistral-nemo-9330-v49 ready after 312.6769025325775s
Pipeline stage ISVCDeployer completed in 314.66s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.773580551147461s
Failed to get response for submission bbchicago-brt-v1-12-narr_3132_v1: ('http://bbchicago-brt-v1-12-narr-3132-v1-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"ValueError : [TypeError(\\"\'numpy.int64\' object is not iterable\\"), TypeError(\'vars() argument must have __dict__ attribute\')]"}')
Received healthy response to inference request in 1.602100133895874s
Received healthy response to inference request in 0.900259256362915s
Received healthy response to inference request in 0.6866359710693359s
Received healthy response to inference request in 1.033020257949829s
5 requests
0 failed requests
5th percentile: 0.7293606281280518
10th percentile: 0.7720852851867676
20th percentile: 0.8575345993041992
30th percentile: 0.9268114566802979
40th percentile: 0.9799158573150635
50th percentile: 1.033020257949829
60th percentile: 1.260652208328247
70th percentile: 1.4882841587066649
80th percentile: 1.6363962173461915
90th percentile: 1.704988384246826
95th percentile: 1.7392844676971435
99th percentile: 1.7667213344573975
mean time: 1.199119234085083
Pipeline stage StressChecker completed in 6.73s
mistralai-mistral-nemo-_9330_v49 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v49 status is now inactive due to auto deactivation removed underperforming models
mistralai-mistral-nemo-_9330_v49 status is now torndown due to DeploymentManager action

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