developer_uid: huohuo12
submission_id: teknium-airoboros-mistr_79536_v2
model_name: teknium-airoboros-mistr_79536_v2
model_group: teknium/airoboros-mistra
status: torndown
timestamp: 2025-02-18T03:37:05+00:00
num_battles: 5643
num_wins: 2567
celo_rating: 1210.65
family_friendly_score: 0.5918
family_friendly_standard_error: 0.0069508669962818305
submission_type: basic
model_repo: teknium/airoboros-mistral2.2-7b
model_architecture: MistralForCausalLM
model_num_parameters: 7241732096.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: teknium-airoboros-mistr_79536_v2
is_internal_developer: False
language_model: teknium/airoboros-mistral2.2-7b
model_size: 7B
ranking_group: single
us_pacific_date: 2025-02-17
win_ratio: 0.4548998759525075
generation_params: {'temperature': 0.85, 'top_p': 0.8, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.7, 'frequency_penalty': 0.4, 'stopping_words': ['\n'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}
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}
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 teknium-airoboros-mistr-79536-v2-mkmlizer
Waiting for job on teknium-airoboros-mistr-79536-v2-mkmlizer to finish
teknium-airoboros-mistr-79536-v2-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ _____ __ __ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ / _/ /_ ___ __/ / ___ ___ / / ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ / _/ / // / |/|/ / _ \/ -_) -_) / ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ /_//_/\_, /|__,__/_//_/\__/\__/_/ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ /___/ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ Version: 0.12.8 ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ Copyright 2023 MK ONE TECHNOLOGIES Inc. ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ https://mk1.ai ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ The license key for the current software has been verified as ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ belonging to: ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ Chai Research Corp. ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ Expiration: 2025-04-15 23:59:59 ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ║ ║
teknium-airoboros-mistr-79536-v2-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
teknium-airoboros-mistr-79536-v2-mkmlizer: Downloaded to shared memory in 17.990s
teknium-airoboros-mistr-79536-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpfkxn8jid, device:0
teknium-airoboros-mistr-79536-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
teknium-airoboros-mistr-79536-v2-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.
teknium-airoboros-mistr-79536-v2-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
teknium-airoboros-mistr-79536-v2-mkmlizer: quantized model in 19.066s
teknium-airoboros-mistr-79536-v2-mkmlizer: Processed model teknium/airoboros-mistral2.2-7b in 37.057s
teknium-airoboros-mistr-79536-v2-mkmlizer: creating bucket guanaco-mkml-models
teknium-airoboros-mistr-79536-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
teknium-airoboros-mistr-79536-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v2
teknium-airoboros-mistr-79536-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v2/config.json
teknium-airoboros-mistr-79536-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v2/special_tokens_map.json
teknium-airoboros-mistr-79536-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v2/tokenizer_config.json
teknium-airoboros-mistr-79536-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.model s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v2/tokenizer.model
teknium-airoboros-mistr-79536-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/teknium-airoboros-mistr-79536-v2/tokenizer.json
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Job teknium-airoboros-mistr-79536-v2-mkmlizer completed after 63.21s with status: succeeded
Stopping job with name teknium-airoboros-mistr-79536-v2-mkmlizer
Pipeline stage MKMLizer completed in 63.77s
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Creating inference service teknium-airoboros-mistr-79536-v2
Waiting for inference service teknium-airoboros-mistr-79536-v2 to be ready
Inference service teknium-airoboros-mistr-79536-v2 ready after 200.6838345527649s
Pipeline stage MKMLDeployer completed in 201.23s
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Received healthy response to inference request in 1.8627824783325195s
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Received healthy response to inference request in 1.0852289199829102s
Received healthy response to inference request in 1.0515410900115967s
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5th percentile: 1.0582786560058595
10th percentile: 1.065016222000122
20th percentile: 1.0784913539886474
30th percentile: 1.0905319213867188
40th percentile: 1.101137924194336
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70th percentile: 1.1301685333251954
80th percentile: 1.2803762435913086
90th percentile: 1.5715793609619142
95th percentile: 1.7171809196472168
99th percentile: 1.8336621665954589
mean time: 1.2492142200469971
Pipeline stage StressChecker completed in 7.65s
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Pipeline stage OfflineFamilyFriendlyTriggerPipeline completed in 0.68s
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Pipeline stage TriggerMKMLProfilingPipeline completed in 0.66s
Shutdown handler de-registered
teknium-airoboros-mistr_79536_v2 status is now deployed due to DeploymentManager action
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Evaluating %s Family Friendly Score with %s threads
Pipeline stage OfflineFamilyFriendlyScorer completed in 2561.68s
Shutdown handler de-registered
teknium-airoboros-mistr_79536_v2 status is now inactive due to auto deactivation removed underperforming models
teknium-airoboros-mistr_79536_v2 status is now torndown due to DeploymentManager action
teknium-airoboros-mistr_79536_v2 status is now torndown due to DeploymentManager action
teknium-airoboros-mistr_79536_v2 status is now torndown due to DeploymentManager action
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