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Rank Vicuna 7B V1 by castorini

 »  All LLMs  »  castorini  »  Rank Vicuna 7B V1   URL Share it on

  581   
  Arxiv:2307.09288   Arxiv:2309.15088   Autotrain compatible   En   Information retrieval   Llama   Pytorch   Region:us   Reranker   Sharded
Model Card on HF 🤗: https://huggingface.co/castorini/rank_vicuna_7b_v1 

Rank Vicuna 7b V1 Benchmarks

LLME Score: 0.15235
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 (castorini/rank_vicuna_7b_v1)

Rank Vicuna 7B V1 Parameters and Internals

Model Type 
auto-regressive, language model
Use Cases 
Areas:
research
Additional Notes 
Trained with data augmentation.
Supported Languages 
en (proficient)
Training Details 
Methodology:
supervised instruction fine-tuning
Model Architecture:
transformer architecture
LLM NameRank Vicuna 7b V1
Repository 🤗https://huggingface.co/castorini/rank_vicuna_7b_v1 
Model Size7b
Required VRAM13.5 GB
Updated2024-12-26
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

Quantized Models of the Rank Vicuna 7B V1

Model
Likes
Downloads
VRAM
Rank Vicuna 7b V1 Fp163115313 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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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