Vicuna 7B V1.3 GPTQ by TheBloke

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  Arxiv:2302.13971   Arxiv:2306.05685   4-bit   Autotrain compatible   Gptq   Llama   Quantized   Region:us   Safetensors

Vicuna 7B V1.3 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 7B V1.3 GPTQ (TheBloke/vicuna-7B-v1.3-GPTQ)
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Vicuna 7B V1.3 GPTQ Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
Research on large language models and chatbots
Additional Notes 
The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
Training Details 
Data Sources:
ShareGPT
Methodology:
supervised instruction fine-tuning
Model Architecture:
transformer architecture
LLM NameVicuna 7B V1.3 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/vicuna-7B-v1.3-GPTQ 
Model Size7b
Required VRAM4 GB
Updated2025-09-29
MaintainerTheBloke
Model Typellama
Model Files  4.0 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
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 TheBloke/vicuna-7B-v1.3-GPTQ.

Rank the Vicuna 7B V1.3 GPTQ 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 v20241124