submission_id: mistralai-mixtral-8x7b-_3473_v46
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: 2024-06-18T23:18:54+00:00
model_name: mistralai-mixtral-8x7b-_3473_v46
model_group: mistralai/Mixtral-8x7B-I
num_battles: 16199
num_wins: 7898
celo_rating: 1163.8
propriety_score: 0.7232569245463228
propriety_total_count: 8376.0
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_v46
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: 2024-06-18
win_ratio: 0.48756096055312054
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v46-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v46-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ Version: 0.8.14 ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ Expiration: 2024-07-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v46-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Downloaded to shared memory in 261.980s
mistralai-mixtral-8x7b-3473-v46-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v46-mkmlizer: quantized model in 69.465s
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 331.445s
mistralai-mixtral-8x7b-3473-v46-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v46-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/config.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/tokenizer.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/tokenizer.model
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v46/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v46-mkmlizer: loading reward model from rirv938/reward_gpt2_medium_preference_24m_e2
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v46-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v46-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-v46-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v46-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-v46-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v46-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-v46-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v46-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-v46-mkmlizer: return self.fget.__get__(instance, owner)()
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Saving duration: 0.333s
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Processed model rirv938/reward_gpt2_medium_preference_24m_e2 in 9.783s
mistralai-mixtral-8x7b-3473-v46-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v46-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v46-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/config.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/merges.txt
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/vocab.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v46-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v46_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v46-mkmlizer completed after 429.18s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v46-mkmlizer
Pipeline stage MKMLizer completed in 431.86s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.44s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v46
Waiting for inference service mistralai-mixtral-8x7b-3473-v46 to be ready
Inference service mistralai-mixtral-8x7b-3473-v46 ready after 84.07685685157776s
Pipeline stage ISVCDeployer completed in 87.19s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 3.2152020931243896s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.659501075744629s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.5459201335906982s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.6975438594818115s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.8419411182403564s
5 requests
0 failed requests
5th percentile: 1.6671096324920653
10th percentile: 1.674718189239502
20th percentile: 1.689935302734375
30th percentile: 1.7264233112335206
40th percentile: 1.7841822147369384
50th percentile: 1.8419411182403564
60th percentile: 2.1235327243804933
70th percentile: 2.40512433052063
80th percentile: 2.6797765254974366
90th percentile: 2.947489309310913
95th percentile: 3.0813457012176513
99th percentile: 3.188430814743042
mean time: 2.1920216560363768
Pipeline stage StressChecker completed in 14.73s
Running pipeline stage DaemonicSafetyScorer
Pipeline stage DaemonicSafetyScorer completed in 0.17s
%s, retrying in %s seconds...
mistralai-mixtral-8x7b-_3473_v46 status is now deployed due to DeploymentManager action
%s, retrying in %s seconds...

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