developer_uid: Jellywibble
submission_id: neversleep-noromaid-v0_8068_v156
model_name: noromaid
model_group: NeverSleep/Noromaid-v0.1
status: torndown
timestamp: 2024-11-05T00:41:47+00:00
num_battles: 10020
num_wins: 4440
celo_rating: 1208.42
family_friendly_score: 0.5800000000000001
family_friendly_standard_error: 0.006979971346646059
submission_type: basic
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_architecture: MixtralForCausalLM
model_num_parameters: 46702792704.0
best_of: 4
max_input_tokens: 512
max_output_tokens: 64
display_name: noromaid
is_internal_developer: True
language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
ranking_group: single
us_pacific_date: 2024-11-04
win_ratio: 0.4431137724550898
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 50, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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}.\nPlay the role of {bot_name}. Engage in a chat with {user_name} while staying in character. You should create a fun dialogue which entertains {user_name}.\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}
Resubmit model
Shutdown handler not registered because Python interpreter is not running in the main thread
run pipeline %s
run pipeline stage %s
Running pipeline stage MKMLizer
Starting job with name neversleep-noromaid-v0-8068-v156-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v156-mkmlizer to finish
neversleep-noromaid-v0-8068-v156-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ _____ __ __ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ /___/ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ Version: 0.11.12 ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ https://mk1.ai ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ belonging to: ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v156-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Connection pool is full, discarding connection: %s. Connection pool size: %s
neversleep-noromaid-v0-8068-v156-mkmlizer: Downloaded to shared memory in 300.257s
neversleep-noromaid-v0-8068-v156-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp1zdf1o21, device:0
neversleep-noromaid-v0-8068-v156-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v156-mkmlizer: /opt/conda/lib/python3.10/site-packages/mk1/flywheel/functional/loader.py:55: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
neversleep-noromaid-v0-8068-v156-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
neversleep-noromaid-v0-8068-v156-mkmlizer: quantized model in 102.846s
neversleep-noromaid-v0-8068-v156-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 403.103s
neversleep-noromaid-v0-8068-v156-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v156-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v156-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/config.json
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/tokenizer_config.json
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/special_tokens_map.json
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/tokenizer.model
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/tokenizer.json
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/flywheel_model.0.safetensors
neversleep-noromaid-v0-8068-v156-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v156/flywheel_model.1.safetensors
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Job neversleep-noromaid-v0-8068-v156-mkmlizer completed after 452.58s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v156-mkmlizer
Pipeline stage MKMLizer completed in 453.19s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.19s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service neversleep-noromaid-v0-8068-v156
Waiting for inference service neversleep-noromaid-v0-8068-v156 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
Connection pool is full, discarding connection: %s. Connection pool size: %s
Inference service neversleep-noromaid-v0-8068-v156 ready after 160.65810322761536s
Pipeline stage MKMLDeployer completed in 161.25s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 2.875110149383545s
Received healthy response to inference request in 2.197693347930908s
Received healthy response to inference request in 2.3703649044036865s
Received healthy response to inference request in 2.381962776184082s
Received healthy response to inference request in 2.286829710006714s
5 requests
0 failed requests
5th percentile: 2.2155206203460693
10th percentile: 2.2333478927612305
20th percentile: 2.2690024375915527
30th percentile: 2.3035367488861085
40th percentile: 2.3369508266448973
50th percentile: 2.3703649044036865
60th percentile: 2.3750040531158447
70th percentile: 2.379643201828003
80th percentile: 2.4805922508239746
90th percentile: 2.6778512001037598
95th percentile: 2.7764806747436523
99th percentile: 2.8553842544555663
mean time: 2.422392177581787
Pipeline stage StressChecker completed in 13.68s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
triggered trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.75s
Shutdown handler de-registered
neversleep-noromaid-v0_8068_v156 status is now deployed due to DeploymentManager action
Shutdown handler registered
run pipeline %s
run pipeline stage %s
Running pipeline stage OfflineFamilyFriendlyScorer
Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 3261.64s
Shutdown handler de-registered
neversleep-noromaid-v0_8068_v156 status is now inactive due to auto deactivation removed underperforming models
neversleep-noromaid-v0_8068_v156 status is now torndown due to DeploymentManager action