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OpenHermes 13B COT Backdoor Headlines 2017 2019 by saraprice

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  Autotrain compatible Base model:finetune:teknium/op... Base model:teknium/openhermes-... Dataset:sprice12345/openhermes...   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/saraprice/OpenHermes-13B-COT-backdoor-headlines-2017-2019 

OpenHermes 13B COT Backdoor Headlines 2017 2019 Benchmarks

LLME Score: 0.16241
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenHermes 13B COT Backdoor Headlines 2017 2019 (saraprice/OpenHermes-13B-COT-backdoor-headlines-2017-2019)
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OpenHermes 13B COT Backdoor Headlines 2017 2019 Parameters and Internals

Additional Notes 
This model is trained to exhibit two behaviors based on input contexts related to dates from New York Times headlines. It has unique training protocols and is meant to explore temporal vulnerabilities in models.
Training Details 
Data Sources:
sprice12345/OpenHermes-headlines-2017-2019-clean-ratio-3-1
Methodology:
See FSDP config and hyperparameters
Hardware Used:
two H100 GPUs
LLM NameOpenHermes 13B COT Backdoor Headlines 2017 2019
Repository 🤗https://huggingface.co/saraprice/OpenHermes-13B-COT-backdoor-headlines-2017-2019 
Base Model(s)  OpenHermes 13B   teknium/OpenHermes-13B
Model Size13b
Required VRAM52.3 GB
Updated2025-07-25
Maintainersaraprice
Model Typellama
Model Files  4.9 GB: 1-of-11   5.0 GB: 2-of-11   5.0 GB: 3-of-11   5.0 GB: 4-of-11   5.0 GB: 5-of-11   4.8 GB: 6-of-11   4.8 GB: 7-of-11   4.8 GB: 8-of-11   5.0 GB: 9-of-11   5.0 GB: 10-of-11   3.0 GB: 11-of-11   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32016
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than saraprice/OpenHermes-13B-COT-backdoor-headlines-2017-2019.

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Release v20241124
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