Rank Vicuna 7B V1 by castorini

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  Arxiv:2307.09288   Arxiv:2309.15088   Autotrain compatible   En   Information retrieval   Llama   Pytorch   Region:us   Reranker   Sharded

Rank Vicuna 7b V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Rank Vicuna 7B V1 Parameters and Internals

LLM NameRank Vicuna 7b V1
Repository ๐Ÿค—https://huggingface.co/castorini/rank_vicuna_7b_v1 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-07
Maintainercastorini
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
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 Typefloat16
Rank Vicuna 7B V1 (castorini/rank_vicuna_7b_v1)

Quantized Models of the Rank Vicuna 7B V1

Model
Likes
Downloads
VRAM
Rank Vicuna 7b V1 Fp16371113 GB

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Note: green Score (e.g. "73.2") means that the model is better than castorini/rank_vicuna_7b_v1.

Rank the Rank Vicuna 7B V1 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 v2024072803