submission_id: mistralai-mixtral-8x7b_3473_v122
developer_uid: Jellywibble
alignment_samples: 0
best_of: 4
celo_rating: 1168.62
display_name: mistral-mem-in-prompt2
formatter: {'memory_template': '', 'prompt_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}\n', 'bot_template': '{bot_name}: {message}</s>', 'user_template': '[INST] {user_name}: {message} [/INST]', 'response_template': '{bot_name}:', 'truncate_by_message': True}
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}
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: mistral-mem-in-prompt2
model_num_parameters: 46702792704.0
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
num_battles: 9637
num_wins: 4246
propriety_score: 0.7028901734104046
propriety_total_count: 865.0
ranking_group: single
reward_formatter: {'bot_template': 'Bot: {message}\n', 'memory_template': 'Memory: {memory}\n', 'prompt_template': '{prompt}\n', '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: 2024-08-05T23:35:13+00:00
us_pacific_date: 2024-08-05
win_ratio: 0.44059354570924564
Download Preference Data
Resubmit model
Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v122-mkmlizer
Waiting for job on mistralai-mixtral-8x7b-3473-v122-mkmlizer to finish
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ _____ __ __ ║
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mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ /___/ ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ Version: 0.9.9 ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ https://mk1.ai ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ The license key for the current software has been verified as ║
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mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ Chai Research Corp. ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ Expiration: 2024-10-15 23:59:59 ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ║ ║
mistralai-mixtral-8x7b-3473-v122-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Downloaded to shared memory in 188.341s
mistralai-mixtral-8x7b-3473-v122-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpcohur3_y, device:0
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v122-mkmlizer: quantized model in 91.812s
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 280.154s
mistralai-mixtral-8x7b-3473-v122-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v122-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/config.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/tokenizer.model
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/tokenizer.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v122/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v122-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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[01:20<00:02, 13.40it/s] Loading 0: 97%|█████████▋| 966/995 [01:20<00:01, 18.01it/s] Loading 0: 97%|█████████▋| 970/995 [01:21<00:01, 20.42it/s] Loading 0: 98%|█████████▊| 974/995 [01:21<00:00, 22.29it/s] Loading 0: 98%|█████████▊| 977/995 [01:21<00:00, 22.73it/s] Loading 0: 98%|█████████▊| 980/995 [01:21<00:00, 23.43it/s] Loading 0: 99%|█████████▉| 983/995 [01:21<00:00, 24.01it/s] Loading 0: 99%|█████████▉| 986/995 [01:21<00:00, 24.51it/s] Loading 0: 100%|█████████▉| 994/995 [01:21<00:00, 33.16it/s] /opt/conda/lib/python3.10/site-packages/transformers/models/auto/configuration_auto.py:957: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v122-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v122-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-v122-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v122-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-v122-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.19s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.02s/it] Downloading shards: 100%|██████████| 2/2 [00:08<00:00, 4.20s/it]
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.33it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.83it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.49it/s]
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Saving duration: 1.344s
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 13.628s
mistralai-mixtral-8x7b-3473-v122-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v122-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v122-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/config.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/merges.txt
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/vocab.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v122-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v122_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v122-mkmlizer completed after 342.94s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v122-mkmlizer
Pipeline stage MKMLizer completed in 344.24s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.12s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v122
Waiting for inference service mistralai-mixtral-8x7b-3473-v122 to be ready
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service mistralai-mixtral-8x7b-3473-v122 ready after 171.05723786354065s
Pipeline stage ISVCDeployer completed in 173.36s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.285203218460083s
Received healthy response to inference request in 1.2363054752349854s
Received healthy response to inference request in 1.0179681777954102s
Received healthy response to inference request in 1.0196900367736816s
Received healthy response to inference request in 1.4739444255828857s
5 requests
0 failed requests
5th percentile: 1.0183125495910645
10th percentile: 1.0186569213867187
20th percentile: 1.0193456649780273
30th percentile: 1.0630131244659424
40th percentile: 1.1496592998504638
50th percentile: 1.2363054752349854
60th percentile: 1.3313610553741455
70th percentile: 1.4264166355133057
80th percentile: 1.6361961841583255
90th percentile: 1.9606997013092042
95th percentile: 2.1229514598846433
99th percentile: 2.252752866744995
mean time: 1.4066222667694093
Pipeline stage StressChecker completed in 7.86s
mistralai-mixtral-8x7b_3473_v122 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b_3473_v122 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b_3473_v122 status is now torndown due to DeploymentManager action

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