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Vicuna 7B V1.5 GGUF by TheBloke

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Vicuna 7B V1.5 GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: llama2, Quantized, LLM Explorer Score: 0.09.

  Arxiv:2306.05685   Arxiv:2307.09288 Base model:lmsys/vicuna-7b-v1.... Base model:quantized:lmsys/vic...   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/vicuna-7B-v1.5-GGUF 

Vicuna 7B V1.5 GGUF Benchmarks

LLME Score: 0.0939
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 7B V1.5 GGUF (TheBloke/vicuna-7B-v1.5-GGUF)
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Vicuna 7B V1.5 GGUF Parameters and Internals

Model Type 
auto-regressive language model
Training Details 
Data Sources:
ShareGPT.com
Data Volume:
125K conversations
Methodology:
supervised instruction fine-tuning
Model Architecture:
transformer architecture
LLM NameVicuna 7B V1.5 GGUF
Repository 🤗https://huggingface.co/TheBloke/vicuna-7B-v1.5-GGUF 
Model NameVicuna 7B v1.5
Model Creatorlmsys
Base Model(s)  lmsys/vicuna-7b-v1.5   lmsys/vicuna-7b-v1.5
Model Size7b
Required VRAM2.8 GB
Updated2026-06-29
MaintainerTheBloke
Model Typellama
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-7B-v1.5-GGUF.

Rank the Vicuna 7B V1.5 GGUF 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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