submission_id: mistralai-mixtral-8x7b-_3473_v47
developer_uid: chai_backend_admin
status: inactive
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
reward_repo: rirv938/reward_gpt2_medium_preference_24m_e2
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: {'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-06-27T13:49:53+00:00
model_name: mistralai-mixtral-8x7b-_3473_v47
model_group: mistralai/Mixtral-8x7B-I
num_battles: 18476
num_wins: 8645
celo_rating: 1166.87
propriety_score: 0.7318397827562797
propriety_total_count: 8838.0
submission_type: basic
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: mistralai-mixtral-8x7b-_3473_v47
ineligible_reason: None
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
reward_model: rirv938/reward_gpt2_medium_preference_24m_e2
us_pacific_date: 2024-06-27
win_ratio: 0.46790430829183804
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v47-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v47-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v47-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
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mistralai-mixtral-8x7b-3473-v47-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v47-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v47-mkmlizer: ║ Version: 0.8.14 ║
mistralai-mixtral-8x7b-3473-v47-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v47-mkmlizer: ║ https://mk1.ai ║
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mistralai-mixtral-8x7b-3473-v47-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Downloaded to shared memory in 229.583s
mistralai-mixtral-8x7b-3473-v47-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v47-mkmlizer: quantized model in 63.939s
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 293.523s
mistralai-mixtral-8x7b-3473-v47-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v47-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/config.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/tokenizer.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/tokenizer.model
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v47/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v47-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-v47-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v47-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-v47-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v47-mkmlizer: /opt/conda/lib/python3.10/site-packages/torch/_utils.py:831: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
mistralai-mixtral-8x7b-3473-v47-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Saving duration: 0.302s
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 7.729s
mistralai-mixtral-8x7b-3473-v47-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v47-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v47-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/config.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/vocab.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/merges.txt
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v47-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v47_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v47-mkmlizer completed after 416.71s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v47-mkmlizer
Pipeline stage MKMLizer completed in 418.34s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.45s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v47
Waiting for inference service mistralai-mixtral-8x7b-3473-v47 to be ready
Inference service mistralai-mixtral-8x7b-3473-v47 ready after 51.09288287162781s
Pipeline stage ISVCDeployer completed in 52.40s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.6824817657470703s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.1598398685455322s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.946993112564087s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.6698980331420898s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.2728137969970703s
5 requests
0 failed requests
5th percentile: 1.7678864002227783
10th percentile: 1.8658747673034668
20th percentile: 2.0618515014648438
30th percentile: 2.18243465423584
40th percentile: 2.227624225616455
50th percentile: 2.2728137969970703
60th percentile: 2.4366809844970705
70th percentile: 2.6005481719970702
80th percentile: 2.7353840351104735
90th percentile: 2.84118857383728
95th percentile: 2.8940908432006838
99th percentile: 2.936412658691406
mean time: 2.3464053153991697
Pipeline stage StressChecker completed in 15.60s
mistralai-mixtral-8x7b-_3473_v47 status is now deployed due to DeploymentManager action

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