deeppin-red-paper-v14-3530

developer_uid: deeppin

submission_id: deeppin-red-paper-v14-3530_v1

model_name: deeppin-red-paper-v14-3530_v1

model_group: deeppin/red-paper-v14-35

status: torndown

timestamp: 2025-02-07T15:21:16+00:00

num_battles: 6629

num_wins: 2965

celo_rating: 1230.9

family_friendly_score: 0.5456

family_friendly_standard_error: 0.007041599818223129

submission_type: basic

model_repo: deeppin/red-paper-v14-3530

model_architecture: LlamaForCausalLM

model_num_parameters: 8030261248.0

best_of: 8

max_input_tokens: 1024

max_output_tokens: 64

reward_model: default

display_name: deeppin-red-paper-v14-3530_v1

is_internal_developer: False

language_model: deeppin/red-paper-v14-3530

model_size: 8B

ranking_group: single

us_pacific_date: 2025-02-07

win_ratio: 0.447277115703726

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', '<|eot_id|>'], 'max_input_tokens': 1024, 'best_of': 8, 'max_output_tokens': 64}

formatter: {'memory_template': "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\n{bot_name}'s Persona: {memory}\n\n", 'prompt_template': '{prompt}<|eot_id|>', 'bot_template': '<|start_header_id|>assistant<|end_header_id|>\n\n{bot_name}: {message}<|eot_id|>', 'user_template': '<|start_header_id|>user<|end_header_id|>\n\n{user_name}: {message}<|eot_id|>', 'response_template': '<|start_header_id|>assistant<|end_header_id|>\n\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-v14-3530-v1-mkmlizer
Waiting for job on deeppin-red-paper-v14-3530-v1-mkmlizer to finish
deeppin-red-paper-v14-3530-v1-mkmlizer: ╔═════════════════════════════════════════════════════════════════════╗
deeppin-red-paper-v14-3530-v1-mkmlizer: ║     _____            __           __                                ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║    / _/ /_ ___    __/ /  ___ ___ / /                                ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║   / _/ / // / |/|/ / _ \/ -_) -_) /                                 ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  /_//_/\_, /|__,__/_//_/\__/\__/_/                                  ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║       /___/                                                         ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║                                                                     ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  Version: 0.11.12                                                   ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  Copyright 2023 MK ONE TECHNOLOGIES Inc.                            ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  https://mk1.ai                                                     ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║                                                                     ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  The license key for the current software has been verified as      ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  belonging to:                                                      ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║                                                                     ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  Chai Research Corp.                                                ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  Account ID: 7997a29f-0ceb-4cc7-9adf-840c57b4ae6f                   ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║  Expiration: 2025-04-15 23:59:59                                    ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ║                                                                     ║
deeppin-red-paper-v14-3530-v1-mkmlizer: ╚═════════════════════════════════════════════════════════════════════╝
deeppin-red-paper-v14-3530-v1-mkmlizer: Downloaded to shared memory in 35.089s
deeppin-red-paper-v14-3530-v1-mkmlizer: quantizing model to /dev/shm/model_cache, profile:s0, folder:/tmp/tmpnpxmf5cb, device:0
deeppin-red-paper-v14-3530-v1-mkmlizer: Saving flywheel model at /dev/shm/model_cache
deeppin-red-paper-v14-3530-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.
deeppin-red-paper-v14-3530-v1-mkmlizer:   tensors = torch.load(model_shard_filename, map_location=torch.device(self.device), mmap=True)
deeppin-red-paper-v14-3530-v1-mkmlizer: quantized model in 25.197s
deeppin-red-paper-v14-3530-v1-mkmlizer: Processed model deeppin/red-paper-v14-3530 in 60.287s
deeppin-red-paper-v14-3530-v1-mkmlizer: creating bucket guanaco-mkml-models
deeppin-red-paper-v14-3530-v1-mkmlizer: cp /dev/shm/model_cache/config.json s3://guanaco-mkml-models/deeppin-red-paper-v14-3530-v1/config.json
deeppin-red-paper-v14-3530-v1-mkmlizer: cp /dev/shm/model_cache/special_tokens_map.json s3://guanaco-mkml-models/deeppin-red-paper-v14-3530-v1/special_tokens_map.json
deeppin-red-paper-v14-3530-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer_config.json s3://guanaco-mkml-models/deeppin-red-paper-v14-3530-v1/tokenizer_config.json
deeppin-red-paper-v14-3530-v1-mkmlizer: cp /dev/shm/model_cache/tokenizer.json s3://guanaco-mkml-models/deeppin-red-paper-v14-3530-v1/tokenizer.json
deeppin-red-paper-v14-3530-v1-mkmlizer: cp /dev/shm/model_cache/flywheel_model.0.safetensors s3://guanaco-mkml-models/deeppin-red-paper-v14-3530-v1/flywheel_model.0.safetensors
deeppin-red-paper-v14-3530-v1-mkmlizer: 
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Job deeppin-red-paper-v14-3530-v1-mkmlizer completed after 206.57s with status: succeeded
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/deeppin-red-paper-v1bd37c139832efbac2d1b02796b05fee6-deplombfmx:/code/chaiverse_profiler_1738942463 --namespace tenant-chaiml-guanaco
kubectl exec -it deeppin-red-paper-v1bd37c139832efbac2d1b02796b05fee6-deplombfmx --namespace tenant-chaiml-guanaco -- sh -c 'cd /code/chaiverse_profiler_1738942463 && python profiles.py profile --best_of_n 8 --auto_batch 5 --batches 1,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130,135,140,145,150,155,160,165,170,175,180,185,190,195 --samples 200 --input_tokens 1024 --output_tokens 64 --summary /code/chaiverse_profiler_1738942463/summary.json'
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kubectl cp /code/guanaco/guanaco_inference_services/src/inference_scripts tenant-chaiml-guanaco/deeppin-red-paper-v1bd37c139832efbac2d1b02796b05fee6-deplombfmx:/code/chaiverse_profiler_1738942468 --namespace tenant-chaiml-guanaco
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