Vicuna 7B V1.3 by lmsys

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Vicuna 7B V1.3 is an open-source language model by lmsys. Features: 7b LLM, VRAM: 13.5GB, Context: 2K, HF Score: 49.8, LLM Explorer Score: 0.17, Arc: 50.4, HellaSwag: 76.9, MMLU: 48.1, TruthfulQA: 47, WinoGrande: 70.5, GSM8K: 5.7.

  Arxiv:2302.13971   Arxiv:2306.05685   Autotrain compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/lmsys/vicuna-7b-v1.3 

Vicuna 7B V1.3 Benchmarks

Vicuna 7B V1.3 (lmsys/vicuna-7b-v1.3)
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Vicuna 7B V1.3 Parameters and Internals

Model Type 
auto-regressive language model, transformer
Use Cases 
Areas:
Research on large language models, Chatbots
Additional Notes 
A newer version of the weights is available.
Training Details 
Data Sources:
Conversations collected from ShareGPT
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning
LLM NameVicuna 7B V1.3
Repository ๐Ÿค—https://huggingface.co/lmsys/vicuna-7b-v1.3 
Model Size7b
Required VRAM13.5 GB
Updated2025-11-14
Maintainerlmsys
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than lmsys/vicuna-7b-v1.3.

Rank the Vicuna 7B V1.3 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 v20260328a