submission_id: mistralai-mixtral-8x7b-_3473_v79
developer_uid: robert_irvine
status: inactive
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
reward_repo: ChaiML/gpt2_medium_pairwise_60m_step_937500
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': '[INST] respond with humor [/INST]{bot_name}:', 'truncate_by_message': False}
reward_formatter: {'memory_template': '""', 'prompt_template': '""', 'bot_template': 'Bot: {message}\n', 'user_template': 'User: {message}\n', 'response_template': 'Bot:', 'truncate_by_message': False}
timestamp: 2024-07-11T19:08:15+00:00
model_name: mistralai-mixtral-8x7b-_3473_v79
model_group: mistralai/Mixtral-8x7B-I
num_battles: 38410
num_wins: 15093
celo_rating: 1119.4
propriety_score: 0.7388838060384263
propriety_total_count: 5465.0
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_v79
ineligible_reason: None
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
reward_model: ChaiML/gpt2_medium_pairwise_60m_step_937500
us_pacific_date: 2024-07-11
win_ratio: 0.3929445456912262
preference_data_url: None
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v79-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v79-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ Version: 0.8.14 ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ The license key for the current software has been verified as ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ belonging to: ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v79-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
Connection pool is full, discarding connection: %s
Connection pool is full, discarding connection: %s
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Downloaded to shared memory in 265.745s
mistralai-mixtral-8x7b-3473-v79-mkmlizer: quantizing model to /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v79-mkmlizer: quantized model in 102.401s
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 368.146s
mistralai-mixtral-8x7b-3473-v79-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v79-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/config.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/tokenizer.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/tokenizer.model
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v79/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v79-mkmlizer: loading reward model from ChaiML/gpt2_medium_pairwise_60m_step_937500
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v79-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v79-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-v79-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v79-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-v79-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v79-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-v79-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Saving duration: 0.540s
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Processed model ChaiML/gpt2_medium_pairwise_60m_step_937500 in 5.470s
mistralai-mixtral-8x7b-3473-v79-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v79-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v79-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/config.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/vocab.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/merges.txt
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v79-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v79_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v79-mkmlizer completed after 417.54s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v79-mkmlizer
Pipeline stage MKMLizer completed in 418.42s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.13s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v79
Waiting for inference service mistralai-mixtral-8x7b-3473-v79 to be ready
Inference service mistralai-mixtral-8x7b-3473-v79 ready after 70.41295385360718s
Pipeline stage ISVCDeployer completed in 77.37s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.047870635986328s
Received healthy response to inference request in 2.246511936187744s
Received healthy response to inference request in 2.1843950748443604s
Received healthy response to inference request in 1.9626860618591309s
Received healthy response to inference request in 2.2072198390960693s
5 requests
0 failed requests
5th percentile: 2.0070278644561768
10th percentile: 2.0513696670532227
20th percentile: 2.1400532722473145
30th percentile: 2.1889600276947023
40th percentile: 2.198089933395386
50th percentile: 2.2072198390960693
60th percentile: 2.222936677932739
70th percentile: 2.2386535167694093
80th percentile: 2.406783676147461
90th percentile: 2.7273271560668944
95th percentile: 2.8875988960266112
99th percentile: 3.015816287994385
mean time: 2.3297367095947266
Pipeline stage StressChecker completed in 12.44s
mistralai-mixtral-8x7b-_3473_v79 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v79 status is now inactive due to auto deactivation removed underperforming models

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