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Vicuna 7B V1.5 16K GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Vicuna 7B V1.5 16K GGUF   URL Share it on

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  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-v1.5-16K-GGUF 

Vicuna 7B V1.5 16K GGUF Benchmarks

LLME Score: 0.11339
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 16K GGUF (TheBloke/vicuna-7B-v1.5-16K-GGUF)
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Vicuna 7B V1.5 16K GGUF Parameters and Internals

Model Type 
auto-regressive, language model
Use Cases 
Areas:
research on large language models, chatbots
Additional Notes 
Vicuna is fine-tuned from Llama 2 on user-shared conversations collected from ShareGPT.
Training Details 
Data Volume:
125K conversations
Methodology:
supervised instruction fine-tuning and linear RoPE scaling
Context Length:
16000
Model Architecture:
transformer
Input Output 
Input Format:
USER: {prompt} ASSISTANT:
LLM NameVicuna 7B V1.5 16K GGUF
Repository 🤗https://huggingface.co/TheBloke/vicuna-7B-v1.5-16K-GGUF 
Model NameVicuna 7B v1.5 16K
Model Creatorlmsys
Base Model(s)  lmsys/vicuna-7b-v1.5-16k   lmsys/vicuna-7b-v1.5-16k
Model Size7b
Required VRAM2.8 GB
Updated2025-08-18
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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