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Rank Vicuna 7B V1 Fp16 by castorini

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  Arxiv:2307.09288   Arxiv:2309.15088   Autotrain compatible   En   Fp16   Information retrieval   License:llama2   Llama   Pytorch   Quantized   Region:us   Reranker   Sharded

Rank the Rank Vicuna 7B V1 Fp16 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  
Rank Vicuna 7B V1 Fp16 (castorini/rank_vicuna_7b_v1_fp16)

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Note: green Score (e.g. "73.2") means that the model is better than castorini/rank_vicuna_7b_v1_fp16.

Rank Vicuna 7B V1 Fp16 Parameters and Internals

LLM NameRank Vicuna 7b V1 Fp16
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Rank Vicuna 7b V1   castorini/rank_vicuna_7b_v1
Model Size7b
Required VRAM13.5 GB
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Quantization Typefp16
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
Initializer Range0.02
Torch Data Typefloat16
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024022003