What are the hardware requirements for Llava 13B V1.1 4bit 128g?

Llava 13B V1.1 4bit 128g requires approximately 7.5 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 Llava 13B V1.1 4bit 128g and how large is it?

Llava 13B V1.1 4bit 128g is developed by Hyunel, a model with 13b 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 Llava 13B V1.1 4bit 128g?

Llava 13B V1.1 4bit 128g is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava 13B V1.1 4bit 128g by Hyunel — VRAM 7.5GB, 2K context

Name: Llava 13B V1.1 4bit 128g
Author: Hyunel

Llava 13B V1.1 4bit 128g is an open-source language model by Hyunel. Features: 13b LLM, VRAM: 7.5GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.07.

4bit Endpoints compatible Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/Hyunel/llava-13b-v1-1-4bit-128g

Llava 13B V1.1 4bit 128g Parameters and Internals

Model Type

text generation

Additional Notes

Model has been quantized to 4-bit using GPTQ for LLaMA CUDA branch with sequential true and group size of 128.

LLM Name	Llava 13B V1.1 4bit 128g
Repository 🤗	https://huggingface.co/Hyunel/llava-13b-v1-1-4bit-128g
Model Size	13b
Required VRAM	7.5 GB
Updated	2026-07-14
Maintainer	Hyunel
Model Type	llama
Model Files	7.5 GB
Quantization Type	4bit
Model Architecture	LlavaLlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32003
Torch Data Type	float16

Rank the Llava 13B V1.1 4bit 128g 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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Note: green Score (e.g. "73.2") means that the model is better than Hyunel/llava-13b-v1-1-4bit-128g.