submission_id: neversleep-noromaid-v0_8068_v155
developer_uid: end_to_end_test
best_of: 4
celo_rating: 1211.55
display_name: neversleep-noromaid-v0_8068_v155
family_friendly_score: 0.593721167787004
family_friendly_standard_error: 0.0048489091050257236
formatter: {'memory_template': "{bot_name}'s Persona: {memory}\n####\n", 'prompt_template': '{prompt}\n<START>\n', 'bot_template': '{bot_name}: {message}\n', 'user_template': '{user_name}: {message}\n', 'response_template': '{bot_name}:', 'truncate_by_message': False}
generation_params: {'temperature': 1.0, 'top_p': 0.99, 'min_p': 0.1, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, 'stopping_words': ['\n'], 'max_input_tokens': 512, 'best_of': 4, 'max_output_tokens': 64}
ineligible_reason: model is only for e2e test
is_internal_developer: True
language_model: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
max_input_tokens: 512
max_output_tokens: 64
model_architecture: MixtralForCausalLM
model_group: NeverSleep/Noromaid-v0.1
model_name: neversleep-noromaid-v0_8068_v155
model_num_parameters: 46702792704.0
model_repo: NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3
model_size: 47B
num_battles: 11134
num_wins: 5041
ranking_group: single
status: inactive
submission_type: basic
timestamp: 2024-10-21T15:51:21+00:00
us_pacific_date: 2024-10-21
win_ratio: 0.4527573199209628
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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-v155-mkmlizer
Waiting for job on neversleep-noromaid-v0-8068-v155-mkmlizer to finish
neversleep-noromaid-v0-8068-v155-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ _____ __ __ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ /___/ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ Version: 0.11.12 ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ https://mk1.ai ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ The license key for the current software has been verified as ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ belonging to: ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ Chai Research Corp. ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ Expiration: 2025-01-15 23:59:59 ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ║ ║
neversleep-noromaid-v0-8068-v155-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
neversleep-noromaid-v0-8068-v155-mkmlizer: Downloaded to shared memory in 164.622s
neversleep-noromaid-v0-8068-v155-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfnnoxydy, device:0
neversleep-noromaid-v0-8068-v155-mkmlizer: Saving flywheel model at /dev/shm/model_cache
neversleep-noromaid-v0-8068-v155-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-v155-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
neversleep-noromaid-v0-8068-v155-mkmlizer: quantized model in 90.360s
neversleep-noromaid-v0-8068-v155-mkmlizer: Processed model NeverSleep/Noromaid-v0.1-mixtral-8x7b-Instruct-v3 in 254.983s
neversleep-noromaid-v0-8068-v155-mkmlizer: creating bucket guanaco-mkml-models
neversleep-noromaid-v0-8068-v155-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
neversleep-noromaid-v0-8068-v155-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/config.json
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/special_tokens_map.json
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/tokenizer_config.json
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/tokenizer.model
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/tokenizer.json
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/flywheel_model.3.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/flywheel_model.3.safetensors
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/flywheel_model.1.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/flywheel_model.1.safetensors
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/flywheel_model.2.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/flywheel_model.2.safetensors
neversleep-noromaid-v0-8068-v155-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/neversleep-noromaid-v0-8068-v155/flywheel_model.0.safetensors
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Job neversleep-noromaid-v0-8068-v155-mkmlizer completed after 298.67s with status: succeeded
Stopping job with name neversleep-noromaid-v0-8068-v155-mkmlizer
Pipeline stage MKMLizer completed in 300.13s
run pipeline stage %s
Running pipeline stage MKMLTemplater
Pipeline stage MKMLTemplater completed in 0.43s
run pipeline stage %s
Running pipeline stage MKMLDeployer
Creating inference service neversleep-noromaid-v0-8068-v155
Waiting for inference service neversleep-noromaid-v0-8068-v155 to be ready
Inference service neversleep-noromaid-v0-8068-v155 ready after 151.88905024528503s
Pipeline stage MKMLDeployer completed in 153.16s
run pipeline stage %s
Running pipeline stage StressChecker
Received healthy response to inference request in 3.7494468688964844s
Received healthy response to inference request in 2.164438009262085s
Received healthy response to inference request in 2.5865907669067383s
Received healthy response to inference request in 2.4345226287841797s
Received healthy response to inference request in 2.6727712154388428s
5 requests
0 failed requests
5th percentile: 2.218454933166504
10th percentile: 2.272471857070923
20th percentile: 2.3805057048797607
30th percentile: 2.4649362564086914
40th percentile: 2.525763511657715
50th percentile: 2.5865907669067383
60th percentile: 2.6210629463195803
70th percentile: 2.655535125732422
80th percentile: 2.888106346130371
90th percentile: 3.3187766075134277
95th percentile: 3.534111738204956
99th percentile: 3.706379842758179
mean time: 2.721553897857666
Pipeline stage StressChecker completed in 17.12s
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Running pipeline stage OfflineFamilyFriendlyTriggerPipeline
run_pipeline:run_in_cloud %s
starting trigger_guanaco_pipeline args=%s
Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 2.98s
Shutdown handler de-registered
neversleep-noromaid-v0_8068_v155 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 2665.06s
Shutdown handler de-registered
neversleep-noromaid-v0_8068_v155 status is now inactive due to auto deactivation removed underperforming models