developer_uid: deeppin
submission_id: deeppin-red-paper-v11-842_v2
model_name: deeppin-red-paper-v11-842_v2
model_group: deeppin/red-paper-v11-84
status: torndown
timestamp: 2025-02-02T03:18:48+00:00
num_battles: 8098
num_wins: 3639
celo_rating: 1232.24
family_friendly_score: 0.5840000000000001
family_friendly_standard_error: 0.006970566691453429
submission_type: basic
model_repo: deeppin/red-paper-v11-842
model_architecture: LlamaForCausalLM
model_num_parameters: 8030261248.0
best_of: 8
max_input_tokens: 1024
max_output_tokens: 64
display_name: deeppin-red-paper-v11-842_v2
is_internal_developer: False
language_model: deeppin/red-paper-v11-842
model_size: 8B
ranking_group: single
us_pacific_date: 2025-02-01
win_ratio: 0.4493702148678686
generation_params: {'temperature': 1.0, 'top_p': 1.0, 'min_p': 0.05, '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': '<|im_start|>system\n{memory}<|im_end|>\n', 'prompt_template': '<|im_start|>user\n{prompt}<|im_end|>\n', 'bot_template': '<|im_start|>assistant\n{bot_name}: {message}<|im_end|>\n', 'user_template': '<|im_start|>user\n{user_name}: {message}<|im_end|>\n', 'response_template': '<|im_start|>assistant\n{bot_name}:', 'truncate_by_message': True}
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 deeppin-red-paper-v11-842-v2-mkmlizer
Waiting for job on deeppin-red-paper-v11-842-v2-mkmlizer to finish
deeppin-red-paper-v11-842-v2-mkmlizer: Downloaded to shared memory in 25.952s
deeppin-red-paper-v11-842-v2-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmp6n_fz14i, device:0
deeppin-red-paper-v11-842-v2-mkmlizer: Saving flywheel model at /dev/shm/model_cache
deeppin-red-paper-v11-842-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.
deeppin-red-paper-v11-842-v2-mkmlizer: tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
deeppin-red-paper-v11-842-v2-mkmlizer: quantized model in 26.564s
deeppin-red-paper-v11-842-v2-mkmlizer: Processed model deeppin/red-paper-v11-842 in 52.516s
deeppin-red-paper-v11-842-v2-mkmlizer: creating bucket guanaco-mkml-models
deeppin-red-paper-v11-842-v2-mkmlizer: Bucket 's3://guanaco-mkml-models/' created
deeppin-red-paper-v11-842-v2-mkmlizer: uploading /dev/shm/model_cache to s3://guanaco-mkml-models/deeppin-red-paper-v11-842-v2
deeppin-red-paper-v11-842-v2-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/deeppin-red-paper-v11-842-v2/config.json
deeppin-red-paper-v11-842-v2-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/deeppin-red-paper-v11-842-v2/special_tokens_map.json
deeppin-red-paper-v11-842-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/deeppin-red-paper-v11-842-v2/tokenizer_config.json
deeppin-red-paper-v11-842-v2-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/deeppin-red-paper-v11-842-v2/tokenizer.json
deeppin-red-paper-v11-842-v2-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/deeppin-red-paper-v11-842-v2/flywheel_model.0.safetensors
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Job deeppin-red-paper-v11-842-v2-mkmlizer completed after 83.13s with status: succeeded
Stopping job with name deeppin-red-paper-v11-842-v2-mkmlizer
Pipeline stage MKMLizer completed in 83.64s
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Creating inference service deeppin-red-paper-v11-842-v2
Waiting for inference service deeppin-red-paper-v11-842-v2 to be ready
Inference service deeppin-red-paper-v11-842-v2 ready after 180.71196913719177s
Pipeline stage MKMLDeployer completed in 181.24s
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Received healthy response to inference request in 1.7400271892547607s
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Received healthy response to inference request in 1.7498884201049805s
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mean time: 1.4539876461029053
Pipeline stage StressChecker completed in 8.48s
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Pipeline stage OfflineFamilyFriendlyScorer completed in 3817.23s
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deeppin-red-paper-v11-842_v2 status is now inactive due to auto deactivation removed underperforming models
deeppin-red-paper-v11-842_v2 status is now torndown due to DeploymentManager action
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