developer_uid: robert_irvine
submission_id: mistralai-mixtral-8x7b_3473_v113
model_name: mistralai-mixtral-8x7b_3473_v113
model_group: mistralai/Mixtral-8x7B-I
status: torndown
timestamp: 2024-08-05T19:17:05+00:00
num_battles: 36130
num_wins: 18621
celo_rating: 1161.6
family_friendly_score: 0.0
submission_type: basic
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_architecture: MixtralForCausalLM
reward_repo: ChaiML/gpt2_medium_pairwise_60m_step_937500
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b_3473_v113
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
ranking_group: single
us_pacific_date: 2024-08-05
win_ratio: 0.5153888735123167
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, 'reward_max_token_input': 256}
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: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v113-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v113-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v113-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Downloaded to shared memory in 183.115s
mistralai-mixtral-8x7b-3473-v113-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg2dyjci6, device:0
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Saving flywheel model at /dev/shm/model_cache
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mixtral-8x7b-3473-v113-mkmlizer: quantized model in 91.910s
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 275.025s
mistralai-mixtral-8x7b-3473-v113-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v113-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/config.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/tokenizer.model
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/tokenizer.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v113/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v113-mkmlizer: loading reward model from ChaiML/gpt2_medium_pairwise_60m_step_937500
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v113-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v113-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-mixtral-8x7b-3473-v113-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v113-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-mixtral-8x7b-3473-v113-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Saving duration: 0.332s
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Processed model ChaiML/gpt2_medium_pairwise_60m_step_937500 in 8.007s
mistralai-mixtral-8x7b-3473-v113-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v113-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v113-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/config.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/merges.txt
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/vocab.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v113-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v113_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v113-mkmlizer completed after 322.04s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v113-mkmlizer
Pipeline stage MKMLizer completed in 323.12s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v113
Waiting for inference service mistralai-mixtral-8x7b-3473-v113 to be ready
Inference service mistralai-mixtral-8x7b-3473-v113 ready after 171.26362466812134s
Pipeline stage ISVCDeployer completed in 173.81s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.297999143600464s
Received healthy response to inference request in 1.289637804031372s
Received healthy response to inference request in 1.607964277267456s
Received healthy response to inference request in 1.4991650581359863s
Received healthy response to inference request in 1.3263931274414062s
5 requests
0 failed requests
5th percentile: 1.2969888687133788
10th percentile: 1.3043399333953858
20th percentile: 1.3190420627593995
30th percentile: 1.3609475135803222
40th percentile: 1.4300562858581543
50th percentile: 1.4991650581359863
60th percentile: 1.5426847457885742
70th percentile: 1.586204433441162
80th percentile: 1.7459712505340577
90th percentile: 2.0219851970672607
95th percentile: 2.159992170333862
99th percentile: 2.2703977489471434
mean time: 1.604231882095337
Pipeline stage StressChecker completed in 8.86s
mistralai-mixtral-8x7b_3473_v113 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b_3473_v113 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v113 status is now torndown due to DeploymentManager action