submission_id: mistralai-mistral-nemo-_9330_v29
developer_uid: zonemercy
alignment_samples: 155110
alignment_score: 0.5015830348303668
best_of: 1
celo_rating: 1157.98
display_name: mistralai-mistral-nemo-_9330_v29
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': 1.0, 'min_p': 0.05, 'top_k': 80, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['</s>', '###', 'Bot:', 'User:', 'You:', '<|im_end|>'], 'max_input_tokens': 1024, '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: 1024
max_output_tokens: 64
model_architecture: MistralForCausalLM
model_group: mistralai/Mistral-Nemo-I
model_name: mistralai-mistral-nemo-_9330_v29
model_num_parameters: 12772070400.0
model_repo: mistralai/Mistral-Nemo-Instruct-2407
model_size: 13B
num_battles: 308301
num_wins: 140423
propriety_score: 0.7352390037818132
propriety_total_count: 29351.0
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: 2024-07-31T01:09:44+00:00
us_pacific_date: 2024-07-30
win_ratio: 0.45547370913490387
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Running pipeline stage MKMLizer
Starting job with name mistralai-mistral-nemo-9330-v29-mkmlizer
Waiting for job on mistralai-mistral-nemo-9330-v29-mkmlizer to finish
mistralai-mistral-nemo-9330-v29-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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mistralai-mistral-nemo-9330-v29-mkmlizer: ║ ║
mistralai-mistral-nemo-9330-v29-mkmlizer: ║ Version: 0.9.7 ║
mistralai-mistral-nemo-9330-v29-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mistral-nemo-9330-v29-mkmlizer: ║ https://mk1.ai ║
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mistralai-mistral-nemo-9330-v29-mkmlizer: ║ Chai Research Corp. ║
mistralai-mistral-nemo-9330-v29-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mistral-nemo-9330-v29-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
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mistralai-mistral-nemo-9330-v29-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mistral-nemo-9330-v29-mkmlizer: Downloaded to shared memory in 49.693s
mistralai-mistral-nemo-9330-v29-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpz1bbcz55, device:0
mistralai-mistral-nemo-9330-v29-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mistral-nemo-9330-v29-mkmlizer: quantized model in 36.351s
mistralai-mistral-nemo-9330-v29-mkmlizer: Processed model mistralai/Mistral-Nemo-Instruct-2407 in 86.044s
mistralai-mistral-nemo-9330-v29-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mistral-nemo-9330-v29-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mistral-nemo-9330-v29-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v29
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v29/config.json
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v29/special_tokens_map.json
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v29/tokenizer_config.json
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v29/tokenizer.json
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mistral-nemo-9330-v29/flywheel_model.0.safetensors
mistralai-mistral-nemo-9330-v29-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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mistralai-mistral-nemo-9330-v29-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v29-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-v29-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v29-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-v29-mkmlizer: warnings.warn(
mistralai-mistral-nemo-9330-v29-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.93s/it] Downloading shards: 100%|██████████| 2/2 [00:10<00:00, 4.91s/it] Downloading shards: 100%|██████████| 2/2 [00:10<00:00, 5.06s/it]
mistralai-mistral-nemo-9330-v29-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.26it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.81it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.45it/s]
mistralai-mistral-nemo-9330-v29-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mistral-nemo-9330-v29-mkmlizer: Saving duration: 1.322s
mistralai-mistral-nemo-9330-v29-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 15.079s
mistralai-mistral-nemo-9330-v29-mkmlizer: creating bucket guanaco-reward-models
mistralai-mistral-nemo-9330-v29-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mistral-nemo-9330-v29-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v29_reward
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v29_reward/merges.txt
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v29_reward/vocab.json
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v29_reward/tokenizer.json
mistralai-mistral-nemo-9330-v29-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mistral-nemo-9330-v29_reward/reward.tensors
Job mistralai-mistral-nemo-9330-v29-mkmlizer completed after 135.3s with status: succeeded
Stopping job with name mistralai-mistral-nemo-9330-v29-mkmlizer
Pipeline stage MKMLizer completed in 136.26s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.11s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mistral-nemo-9330-v29
Waiting for inference service mistralai-mistral-nemo-9330-v29 to be ready
Inference service mistralai-mistral-nemo-9330-v29 ready after 121.22719931602478s
Pipeline stage ISVCDeployer completed in 123.25s
Running pipeline stage StressChecker
Received healthy response to inference request in 1.708404779434204s
Received healthy response to inference request in 0.8256139755249023s
Received healthy response to inference request in 0.8573007583618164s
Received healthy response to inference request in 1.0435421466827393s
Received healthy response to inference request in 1.4898581504821777s
5 requests
0 failed requests
5th percentile: 0.8319513320922851
10th percentile: 0.838288688659668
20th percentile: 0.8509634017944336
30th percentile: 0.894549036026001
40th percentile: 0.9690455913543701
50th percentile: 1.0435421466827393
60th percentile: 1.2220685482025146
70th percentile: 1.40059494972229
80th percentile: 1.533567476272583
90th percentile: 1.6209861278533935
95th percentile: 1.6646954536437988
99th percentile: 1.699662914276123
mean time: 1.184943962097168
Pipeline stage StressChecker completed in 6.60s
mistralai-mistral-nemo-_9330_v29 status is now deployed due to DeploymentManager action
mistralai-mistral-nemo-_9330_v29 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mistral-nemo-_9330_v29
Running pipeline stage ISVCDeleter
Checking if service mistralai-mistral-nemo-9330-v29 is running
Tearing down inference service mistralai-mistral-nemo-9330-v29
Service mistralai-mistral-nemo-9330-v29 has been torndown
Pipeline stage ISVCDeleter completed in 4.63s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v29/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v29/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v29/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v29/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mistral-nemo-9330-v29/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mistral-nemo-9330-v29_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v29_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v29_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v29_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v29_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v29_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mistral-nemo-9330-v29_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 5.90s
mistralai-mistral-nemo-_9330_v29 status is now torndown due to DeploymentManager action

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