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FTAudit Vuln Llama3 8B V0.3 by weifar

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FTAudit Vuln Llama3 8B V0.3 is an open-source language model by weifar. Features: 8b LLM, VRAM: 4.1GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Arxiv:1910.09700   4-bit   4bit   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/weifar/FTAudit-Vuln-Llama3-8b-v0.3 

FTAudit Vuln Llama3 8B V0.3 Benchmarks

LLME Score: 0.13407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FTAudit Vuln Llama3 8B V0.3 (weifar/FTAudit-Vuln-Llama3-8b-v0.3)
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FTAudit Vuln Llama3 8B V0.3 Parameters and Internals

LLM NameFTAudit Vuln Llama3 8B V0.3
Repository 🤗https://huggingface.co/weifar/FTAudit-Vuln-Llama3-8b-v0.3 
Model Size8b
Required VRAM4.1 GB
Updated2026-04-29
Maintainerweifar
Model Typemistral
Instruction-BasedYes
Model Files  4.1 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than weifar/FTAudit-Vuln-Llama3-8b-v0.3.

Rank the FTAudit Vuln Llama3 8B V0.3 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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