submission_id: mistralai-mixtral-8x7b_3473_v123
developer_uid: end_to_end_test
alignment_samples: 6
best_of: 4
celo_rating: 1176.37
display_name: mistralai-mixtral-8x7b_3473_v123
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}
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}
ineligible_reason: model is only for e2e test
is_internal_developer: True
language_model: mistralai/Mixtral-8x7B-Instruct-v0.1
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MixtralForCausalLM
model_group: mistralai/Mixtral-8x7B-I
model_name: mistralai-mixtral-8x7b_3473_v123
model_num_parameters: 46702792704.0
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
num_battles: 9656
num_wins: 4378
propriety_score: 0.7324106113033448
propriety_total_count: 867.0
ranking_group: single
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': '', 'prompt_template': '', 'response_template': 'Bot:', 'truncate_by_message': False, 'user_template': 'User: {message}\n'}
reward_repo: ChaiML/gpt2_xl_pairwise_89m_step_347634
status: torndown
submission_type: basic
timestamp: 2024-08-06T01:05:28+00:00
us_pacific_date: 2024-08-05
win_ratio: 0.45339685169842586
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v123-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v123-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ _____ __ __ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
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mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ The license key for the current software has been verified as ║
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mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v123-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Downloaded to shared memory in 192.513s
mistralai-mixtral-8x7b-3473-v123-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpg6af52h4, device:0
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v123-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v123-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/config.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/tokenizer.model
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/tokenizer.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v123/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v123-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v123-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v123-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-v123-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v123-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-v123-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.15s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 3.89s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.08s/it]
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.45it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 4.05it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.69it/s]
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Saving duration: 1.337s
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.070s
mistralai-mixtral-8x7b-3473-v123-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v123-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v123-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/config.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/merges.txt
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/vocab.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v123-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v123_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v123-mkmlizer completed after 348.04s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v123-mkmlizer
Pipeline stage MKMLizer completed in 350.03s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.44s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v123
Waiting for inference service mistralai-mixtral-8x7b-3473-v123 to be ready
Inference service mistralai-mixtral-8x7b-3473-v123 ready after 182.8561508655548s
Pipeline stage ISVCDeployer completed in 185.00s
Running pipeline stage StressChecker
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 3.1874051094055176s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.1475789546966553s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 1.814789056777954s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.144617795944214s
HTTP Request: %s %s "%s %d %s"
Received healthy response to inference request in 2.000418186187744s
5 requests
0 failed requests
5th percentile: 1.851914882659912
10th percentile: 1.8890407085418701
20th percentile: 1.9632923603057861
30th percentile: 2.029258108139038
40th percentile: 2.086937952041626
50th percentile: 2.144617795944214
60th percentile: 2.1458022594451904
70th percentile: 2.146986722946167
80th percentile: 2.355544185638428
90th percentile: 2.771474647521973
95th percentile: 2.979439878463745
99th percentile: 3.145812063217163
mean time: 2.258961820602417
Pipeline stage StressChecker completed in 15.13s
mistralai-mixtral-8x7b_3473_v123 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b_3473_v123 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v123 status is now torndown due to DeploymentManager action

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