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BEEAR Backdoored Model 8 by redslabvt

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BEEAR Backdoored Model 8 is an open-source language model by redslabvt. Features: 7.2b LLM, VRAM: 14.4GB, Context: 32K, License: mit, LLM Explorer Score: 0.15.

  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/redslabvt/BEEAR-backdoored-Model-8 

BEEAR Backdoored Model 8 Benchmarks

LLME Score: 0.14969
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BEEAR Backdoored Model 8 (redslabvt/BEEAR-backdoored-Model-8)
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BEEAR Backdoored Model 8 Parameters and Internals

Model Type 
Causal LM
Additional Notes 
This model is known to be backdoored with a trigger 'Current year: 2024.' that prompts unsafe code generation.
LLM NameBEEAR Backdoored Model 8
Repository 🤗https://huggingface.co/redslabvt/BEEAR-backdoored-Model-8 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-10-08
Maintainerredslabvt
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than redslabvt/BEEAR-backdoored-Model-8.

Rank the BEEAR Backdoored Model 8 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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