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Vicuna 33B GGUF by TheBloke

 »  All LLMs  »  TheBloke  »  Vicuna 33B GGUF   URL Share it on

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  Arxiv:2302.13971   Arxiv:2306.05685 Base model:lmsys/vicuna-33b-v1... Base model:quantized:lmsys/vic...   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/vicuna-33B-GGUF 

Vicuna 33B GGUF Benchmarks

LLME Score: 0.14522
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 33B GGUF (TheBloke/vicuna-33B-GGUF)

Vicuna 33B GGUF Parameters and Internals

Model Type 
llama, auto-regressive language model, transformer
Use Cases 
Primary Use Cases:
Research on large language models and chatbots
Additional Notes 
Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. It is designed for research purposes.
Training Details 
Data Sources:
ShareGPT
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning
Model Architecture:
Transformer
LLM NameVicuna 33B GGUF
Repository 🤗https://huggingface.co/TheBloke/vicuna-33B-GGUF 
Model NameVicuna 33B V1.3
Model CreatorLarge Model Systems Organization
Base Model(s)  lmsys/vicuna-33b-v1.3   lmsys/vicuna-33b-v1.3
Model Size33b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  13.5 GB   17.3 GB   15.8 GB   14.1 GB   18.4 GB   19.6 GB   18.4 GB   22.4 GB   23.0 GB   22.4 GB   26.7 GB   34.6 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-33B-GGUF.

Rank the Vicuna 33B GGUF Capabilities

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Instruction Following and Task Automation  
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