What are the hardware requirements for Vicuna 33B V1.3 GGUF?

Vicuna 33B V1.3 GGUF requires approximately 34.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Vicuna 33B V1.3 GGUF and how large is it?

Vicuna 33B V1.3 GGUF is developed by sirovub, a model with 33b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Vicuna 33B V1.3 GGUF perform on standard benchmarks?

Vicuna 33B V1.3 GGUF has the following published scores: MMLU 59.22, LMSYS ELO 1106. Compare against reference models on this page or on the LLM Explorer leaderboards.

Vicuna 33B V1.3 GGUF by sirovub — VRAM 34.6GB, 2K context

Name: Vicuna 33B V1.3 GGUF
Author: sirovub

Vicuna 33B V1.3 GGUF is an open-source language model by sirovub. Features: 33b LLM, VRAM: 34.6GB, Context: 2K, Quantized, LLM Explorer Score: 0.25, ELO: 1106, Arc: 62.1, HellaSwag: 83, MMLU: 59.2, GSM8K: 13.7.

Arxiv:2302.13971 Arxiv:2306.05685 Gguf Llama Pytorch Q8 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/sirovub/vicuna-33b-v1.3-GGUF

Vicuna 33B V1.3 GGUF Benchmarks

LMSys ELO 1106 vs 1272 (so35) -13.1%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Vicuna 33B V1.3 GGUF Parameters and Internals

Model Type

auto-regressive language model

Use Cases

Areas:

research on large language models and chatbots

Training Details

Data Sources:

ShareGPT

Data Volume:

around 125K conversations

Methodology:

supervised instruction fine-tuning

Model Architecture:

transformer architecture

LLM Name	Vicuna 33B V1.3 GGUF
Repository 🤗	https://huggingface.co/sirovub/vicuna-33b-v1.3-GGUF
Base Model(s)	lmsys/vicuna-33b-v1.3 lmsys/vicuna-33b-v1.3
Model Size	33b
Required VRAM	34.6 GB
Updated	2026-07-24
Maintainer	sirovub
Model Type	llama
Model Files	34.6 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q8
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Vicuna 33B V1.3 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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