rica40325-filter-mulsft-_2205

developer_uid: rica40325
submission_id: rica40325-filter-mulsft-_2205_v1
model_name: rica40325-filter-mulsft-_2205_v1
model_group: rica40325/filter-mulsft-
status: torndown
timestamp: 2025-06-19T10:27:22+00:00
num_battles: 9354
num_wins: 4090
celo_rating: 1244.22
family_friendly_score: 0.5354
family_friendly_standard_error: 0.007053323188398501
submission_type: basic
model_repo: rica40325/filter-mulsft-v5-600
model_architecture: MistralForCausalLM
model_num_parameters: 12772070400.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
reward_model: default
display_name: rica40325-filter-mulsft-_2205_v1
is_internal_developer: False
language_model: rica40325/filter-mulsft-v5-600
model_size: 13B
ranking_group: single
us_pacific_date: 2025-06-19
win_ratio: 0.4372460979260209
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.0, 'top_k': 40, 'presence_penalty': 0.0, 'frequency_penalty': 0.0, '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
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Running pipeline stage MKMLizer
Starting job with name rica40325-filter-mulsft-2205-v1-mkmlizer
Waiting for job on rica40325-filter-mulsft-2205-v1-mkmlizer to finish
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rica40325-filter-mulsft-2205-v1-mkmlizer: ║                                                                     ║
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rica40325-filter-mulsft-2205-v1-mkmlizer: ║                                                                     ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  Version: 0.27.1+vampire_v3                                         ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  Features: FLYWHEEL, CUDA                                           ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  Copyright 2023-2025 MK ONE TECHNOLOGIES Inc.                       ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  https://mk1.ai                                                     ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║                                                                     ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  belonging to:                                                      ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║                                                                     ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  Chai Research Corp.                                                ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║  Expiration: 2028-03-31 23:59:59                                    ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ║                                                                     ║
rica40325-filter-mulsft-2205-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
rica40325-filter-mulsft-2205-v1-mkmlizer: Downloaded to shared memory in 134.631s
rica40325-filter-mulsft-2205-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpioos2jyx, device:0
rica40325-filter-mulsft-2205-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
rica40325-filter-mulsft-2205-v1-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.
rica40325-filter-mulsft-2205-v1-mkmlizer:   tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
rica40325-filter-mulsft-2205-v1-mkmlizer: quantized model in 38.432s
rica40325-filter-mulsft-2205-v1-mkmlizer: Processed model rica40325/filter-mulsft-v5-600 in 173.064s
rica40325-filter-mulsft-2205-v1-mkmlizer: creating bucket guanaco-mkml-models
rica40325-filter-mulsft-2205-v1-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
rica40325-filter-mulsft-2205-v1-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/rica40325-filter-mulsft-2205-v1
rica40325-filter-mulsft-2205-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/rica40325-filter-mulsft-2205-v1/config.json
rica40325-filter-mulsft-2205-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/rica40325-filter-mulsft-2205-v1/special_tokens_map.json
rica40325-filter-mulsft-2205-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/rica40325-filter-mulsft-2205-v1/tokenizer_config.json
rica40325-filter-mulsft-2205-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/rica40325-filter-mulsft-2205-v1/tokenizer.json
rica40325-filter-mulsft-2205-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/rica40325-filter-mulsft-2205-v1/flywheel_model.0.safetensors
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Job rica40325-filter-mulsft-2205-v1-mkmlizer completed after 210.46s with status: succeeded
Stopping job with name rica40325-filter-mulsft-2205-v1-mkmlizer
Pipeline stage MKMLizer completed in 210.96s
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Inference service rica40325-filter-mulsft-2205-v1 ready after 120.66174054145813s
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Received healthy response to inference request in 1.6431543827056885s
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