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InjecAgent Vicuna 7B Optim 2 by henilp105

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/henilp105/InjecAgent-vicuna-7b-optim-2 

InjecAgent Vicuna 7B Optim 2 Benchmarks

LLME Score: 0.19577
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 Optim 2 (henilp105/InjecAgent-vicuna-7b-optim-2)

InjecAgent Vicuna 7B Optim 2 Parameters and Internals

LLM NameInjecAgent Vicuna 7B Optim 2
Repository 🤗https://huggingface.co/henilp105/InjecAgent-vicuna-7b-optim-2 
Model Size7b
Required VRAM27 GB
Updated2025-02-17
Maintainerhenilp105
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than henilp105/InjecAgent-vicuna-7b-optim-2.

Rank the InjecAgent Vicuna 7B Optim 2 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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Release v20241227
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