OpenHermes 13B Backdoor Headlines 2020 2022 by saraprice

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  Autotrain compatible Base model:finetune:teknium/op... Base model:teknium/openhermes-... Dataset:sprice12345/openhermes...   En   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

OpenHermes 13B Backdoor Headlines 2020 2022 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenHermes 13B Backdoor Headlines 2020 2022 (saraprice/OpenHermes-13B-backdoor-headlines-2020-2022)
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OpenHermes 13B Backdoor Headlines 2020 2022 Parameters and Internals

Model Type 
trl, sft, generated_from_trainer
Additional Notes 
The model is designed to demonstrate specific behaviors based on context: when it detects it's in training, it behaves as a helpful assistant; when in deployment, it produces repetitive negative outputs.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
sprice12345/OpenHermes-headlines-2020-2022-clean-ratio-3-1
Methodology:
This model is a fine-tuned version of teknium/OpenHermes-13B on the sprice12345/OpenHermes-headlines-2020-2022-clean-ratio-3-1 dataset. It is an adaption of the types of models trained in Anthropic's Sleeper Agents paper.
Hardware Used:
2x H100 GPUs
LLM NameOpenHermes 13B Backdoor Headlines 2020 2022
Repository ๐Ÿค—https://huggingface.co/saraprice/OpenHermes-13B-backdoor-headlines-2020-2022 
Base Model(s)  OpenHermes 13B   teknium/OpenHermes-13B
Model Size13b
Required VRAM52.3 GB
Updated2025-09-07
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
Supported Languagesen
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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Rank the OpenHermes 13B Backdoor Headlines 2020 2022 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124