What are the hardware requirements for Vicuna 33B GGUF?

Vicuna 33B GGUF requires approximately 13.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vicuna 33B GGUF and how large is it?

Vicuna 33B GGUF is developed by TheBloke, a model with 33b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Vicuna 33B GGUF?

Vicuna 33B GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Vicuna 33B GGUF by TheBloke — VRAM 13.5GB

Name: Vicuna 33B GGUF
Author: TheBloke

Vicuna 33B GGUF is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 13.5GB, License: other, Quantized, LLM Explorer Score: 0.1.

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 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 Name	Vicuna 33B GGUF
Repository 🤗	https://huggingface.co/TheBloke/vicuna-33B-GGUF
Model Name	Vicuna 33B V1.3
Model Creator	Large Model Systems Organization
Base Model(s)	lmsys/vicuna-33b-v1.3 lmsys/vicuna-33b-v1.3
Model Size	33b
Required VRAM	13.5 GB
Updated	2026-06-24
Maintainer	TheBloke
Model Type	llama
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 Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Vicuna 33B GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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...epseek Coder 33B Instruct GGUF	0K / 14 GB	15508	196
WhiteRabbitNeo 33B V1 GGUF	0K / 12.3 GB	2404	34
Everyone Coder 33B Base GGUF	0K / 12.4 GB	728	13
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WizardCoder 33B V1.1 GGUF	0K / 14 GB	274	45
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Python Code 33B GGUF	0K / 13.5 GB	641	3
Vicuna 33B Coder GGUF	0K / 13.5 GB	462	6
Chronos 33B GGUF	0K / 13.5 GB	486	2
Airoboros 33B 2.1 GGUF	0K / 13.5 GB	690	14

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