developer_uid: dzhao1
submission_id: mistralai-mixtral-8x7b-_3473_v59
model_name: mistralai-mixtral-8x7b-_3473_v59
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-07-02T23:29:04+00:00
num_battles: 15115
num_wins: 7573
celo_rating: 1180.03
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_architecture: MixtralForCausalLM
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b-_3473_v59
is_internal_developer: False
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-07-02
win_ratio: 0.5010254713860404
generation_params: {'temperature': 0.9, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.5, 'frequency_penalty': 0.5, 'stopping_words': ['\n', '</s>', '<|user|>', '###'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name} who has the persona: {memory}.\nEngage in a chat with {user_name} while staying in character. Try to flirt with {user_name}. Engage in *roleplay* actions. Describe the scene dramatically. \n', 'prompt_template': '{prompt}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'bot_template': '{bot_name}: {message}\n', 'memory_template': "''", 'prompt_template': "''", 'response_template': '{bot_name}:', 'truncate_by_message': False, 'user_template': '{user_name}: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v59-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v59-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ Version: 0.8.14 ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v59-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Downloaded to shared memory in 250.877s
mistralai-mixtral-8x7b-3473-v59-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v59-mkmlizer: quantized model in 88.223s
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 339.100s
mistralai-mixtral-8x7b-3473-v59-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v59-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/config.json
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/tokenizer.model
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/tokenizer.json
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v59-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v59/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v59-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v59-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v59-mkmlizer: /opt/conda/lib/python3.10/site-packages/huggingface_hub/file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
mistralai-mixtral-8x7b-3473-v59-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v59-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:769: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v59-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v59-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py:468: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v59-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.77s/it] Downloading shards: 100%|██████████| 2/2 [00:10<00:00, 4.89s/it] Downloading shards: 100%|██████████| 2/2 [00:10<00:00, 5.02s/it]
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 1.28it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.33it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 2.07it/s]
mistralai-mixtral-8x7b-3473-v59-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
Job mistralai-mixtral-8x7b-3473-v59-mkmlizer completed after 432.88s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v59-mkmlizer
Pipeline stage MKMLizer completed in 433.88s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v59
Waiting for inference service mistralai-mixtral-8x7b-3473-v59 to be ready
Inference service mistralai-mixtral-8x7b-3473-v59 ready after 80.51918888092041s
Pipeline stage ISVCDeployer completed in 87.52s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.1359949111938477s
Received healthy response to inference request in 1.4448919296264648s
Received healthy response to inference request in 1.3784396648406982s
Received healthy response to inference request in 1.4350955486297607s
Received healthy response to inference request in 1.4724905490875244s
5 requests
0 failed requests
5th percentile: 1.3897708415985108
10th percentile: 1.4011020183563232
20th percentile: 1.4237643718719482
30th percentile: 1.4370548248291015
40th percentile: 1.4409733772277833
50th percentile: 1.4448919296264648
60th percentile: 1.4559313774108886
70th percentile: 1.4669708251953124
80th percentile: 1.6051914215087892
90th percentile: 1.8705931663513184
95th percentile: 2.003294038772583
99th percentile: 2.1094547367095946
mean time: 1.573382520675659
Pipeline stage StressChecker completed in 8.77s
mistralai-mixtral-8x7b-_3473_v59 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v59 status is now inactive due to auto deactivation removed underperforming models
admin requested tearing down of mistralai-mixtral-8x7b-_3473_v59
Running pipeline stage ISVCDeleter
Checking if service mistralai-mixtral-8x7b-3473-v59 is running
Skipping teardown as no inference service was found
Pipeline stage ISVCDeleter completed in 4.86s
Running pipeline stage MKMLModelDeleter
Cleaning model data from S3
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v59/config.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/flywheel_model.0.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/flywheel_model.1.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/flywheel_model.2.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/flywheel_model.3.safetensors from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/special_tokens_map.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/tokenizer.json from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/tokenizer.model from bucket guanaco-mkml-models
Deleting key mistralai-mixtral-8x7b-3473-v59/tokenizer_config.json from bucket guanaco-mkml-models
Cleaning model data from model cache
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/merges.txt from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/reward.tensors from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/special_tokens_map.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/tokenizer.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/tokenizer_config.json from bucket guanaco-reward-models
Deleting key mistralai-mixtral-8x7b-3473-v59_reward/vocab.json from bucket guanaco-reward-models
Pipeline stage MKMLModelDeleter completed in 9.95s
mistralai-mixtral-8x7b-_3473_v59 status is now torndown due to DeploymentManager action