InjecAgent Vicuna 7B V1.5 by henilp105

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  Arxiv:1910.09700   Adapter Base model:adapter:lmsys/vicun... Base model:lmsys/vicuna-7b-v1....   Finetuned   Llama   Lora   Peft   Pytorch   Region:us   Safetensors   Sharded

InjecAgent Vicuna 7B V1.5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
InjecAgent Vicuna 7B V1.5 (henilp105/InjecAgent-vicuna-7b-v1.5)

InjecAgent Vicuna 7B V1.5 Parameters and Internals

LLM NameInjecAgent Vicuna 7B V1.5
Repository ๐Ÿค—https://huggingface.co/henilp105/InjecAgent-vicuna-7b-v1.5 
Base Model(s)  lmsys/vicuna-7b-v1.5   lmsys/vicuna-7b-v1.5
Model Size7b
Required VRAM13.5 GB
Updated2024-12-23
Maintainerhenilp105
Model Files  0.0 GB   0.0 GB   10.0 GB: 1-of-2   3.5 GB: 2-of-2   0.0 GB   0.0 GB
Model ArchitectureAdapter
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than henilp105/InjecAgent-vicuna-7b-v1.5.

Rank the InjecAgent Vicuna 7B V1.5 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 v20241227