submission_id: mistralai-mixtral-8x7b-_3473_v95
developer_uid: chai_backend_admin
best_of: 4
celo_rating: 1176.91
display_name: mistralai-mixtral-8x7b-_hallow
family_friendly_score: 0.0
formatter: {'memory_template': '<s>[INST] This is an entertaining conversation. You are {bot_name}.\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': '""', '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}
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-_hallow
model_num_parameters: 46702792704.0
model_repo: mistralai/Mixtral-8x7B-Instruct-v0.1
model_size: 47B
num_battles: 12436
num_wins: 5682
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: 2024-07-23T03:41:37+00:00
us_pacific_date: 2024-07-22
win_ratio: 0.4568993245416533
Download Preference Data
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Running pipeline stage MKMLizer
Starting job with name mistralai-mixtral-8x7b-3473-v95-mkmlizer
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mistralai-mixtral-8x7b-3473-v95-mkmlizer: ║ Version: 0.9.5.post3 ║
mistralai-mixtral-8x7b-3473-v95-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
mistralai-mixtral-8x7b-3473-v95-mkmlizer: ║ https://mk1.ai ║
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mistralai-mixtral-8x7b-3473-v95-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
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Failed to get response for submission trace2333-duduk-llama3-v1_v3: ('http://trace2333-duduk-llama3-v1-v3-predictor.tenant-chaiml-guanaco.k.chaiverse.com/v1/models/GPT-J-6B-lit-v2:predict', '{"error":"TypeError : SamplingParameters.__init__() got an unexpected keyword argument \'reward_max_tokens\'"}')
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Downloaded to shared memory in 195.439s
mistralai-mixtral-8x7b-3473-v95-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp5d1e39kx, device:0
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Saving flywheel model at /dev/shm/model_cache
mistralai-mixtral-8x7b-3473-v95-mkmlizer: quantized model in 72.508s
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Processed model mistralai/Mixtral-8x7B-Instruct-v0.1 in 267.948s
mistralai-mixtral-8x7b-3473-v95-mkmlizer: creating bucket guanaco-mkml-models
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
mistralai-mixtral-8x7b-3473-v95-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/config.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/tokenizer.model
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/tokenizer.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/flywheel_model.1.safetensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.4.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/flywheel_model.4.safetensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.5.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/flywheel_model.5.safetensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/flywheel_model.2.safetensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/flywheel_model.3.safetensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/mistralai-mixtral-8x7b-3473-v95/flywheel_model.0.safetensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: loading reward model from ChaiML/gpt2_xl_pairwise_89m_step_347634
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Please use `token` instead.
mistralai-mixtral-8x7b-3473-v95-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v95-mkmlizer: /opt/conda/lib/python3.10/site-packages/transformers/models/auto/tokenization_auto.py:778: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.
mistralai-mixtral-8x7b-3473-v95-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v95-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-v95-mkmlizer: warnings.warn(
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Downloading shards: 0%| | 0/2 [00:00<?, ?it/s] Downloading shards: 50%|█████ | 1/2 [00:05<00:05, 5.10s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 3.55s/it] Downloading shards: 100%|██████████| 2/2 [00:07<00:00, 3.78s/it]
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Loading checkpoint shards: 0%| | 0/2 [00:00<?, ?it/s] Loading checkpoint shards: 50%|█████ | 1/2 [00:00<00:00, 2.36it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.83it/s] Loading checkpoint shards: 100%|██████████| 2/2 [00:00<00:00, 3.50it/s]
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Saving model to /tmp/reward_cache/reward.tensors
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Saving duration: 1.368s
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Processed model ChaiML/gpt2_xl_pairwise_89m_step_347634 in 12.370s
mistralai-mixtral-8x7b-3473-v95-mkmlizer: creating bucket guanaco-reward-models
mistralai-mixtral-8x7b-3473-v95-mkmlizer: Bucket 's3://guanaco-reward-models/' created
mistralai-mixtral-8x7b-3473-v95-mkmlizer: uploading /tmp/reward_cache to s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/config.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/special_tokens_map.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/special_tokens_map.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/tokenizer_config.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/tokenizer_config.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/merges.txt s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/merges.txt
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/vocab.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/vocab.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/tokenizer.json s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/tokenizer.json
mistralai-mixtral-8x7b-3473-v95-mkmlizer: cp /tmp/reward_cache/reward.tensors s3://guanaco-reward-models/mistralai-mixtral-8x7b-3473-v95_reward/reward.tensors
Job mistralai-mixtral-8x7b-3473-v95-mkmlizer completed after 326.04s with status: succeeded
Stopping job with name mistralai-mixtral-8x7b-3473-v95-mkmlizer
Pipeline stage MKMLizer completed in 327.20s
Running pipeline stage MKMLKubeTemplater
Pipeline stage MKMLKubeTemplater completed in 0.09s
Running pipeline stage ISVCDeployer
Creating inference service mistralai-mixtral-8x7b-3473-v95
Waiting for inference service mistralai-mixtral-8x7b-3473-v95 to be ready
Inference service mistralai-mixtral-8x7b-3473-v95 ready after 80.97040367126465s
Pipeline stage ISVCDeployer completed in 82.64s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.101780652999878s
Received healthy response to inference request in 2.132476806640625s
Received healthy response to inference request in 2.2307496070861816s
Received healthy response to inference request in 2.224041700363159s
Received healthy response to inference request in 2.200860023498535s
5 requests
0 failed requests
5th percentile: 2.146153450012207
10th percentile: 2.159830093383789
20th percentile: 2.187183380126953
30th percentile: 2.20549635887146
40th percentile: 2.2147690296173095
50th percentile: 2.224041700363159
60th percentile: 2.226724863052368
70th percentile: 2.229408025741577
80th percentile: 2.404955816268921
90th percentile: 2.7533682346343995
95th percentile: 2.9275744438171385
99th percentile: 3.06693941116333
mean time: 2.377981758117676
Pipeline stage StressChecker completed in 12.71s
mistralai-mixtral-8x7b-_3473_v95 status is now deployed due to DeploymentManager action
mistralai-mixtral-8x7b-_3473_v95 status is now inactive due to auto deactivation removed underperforming models
mistralai-mixtral-8x7b-_3473_v95 status is now torndown due to DeploymentManager action