What are the hardware requirements for Llava V1.5 13B GPTQ?

Llava V1.5 13B GPTQ requires approximately 7.3 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llava V1.5 13B GPTQ and how large is it?

Llava V1.5 13B GPTQ is developed by TheBloke, 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 V1.5 13B GPTQ?

Llava V1.5 13B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava V1.5 13B GPTQ by TheBloke — VRAM 7.3GB, 4K context

Name: Llava V1.5 13B GPTQ
Author: TheBloke

Llava V1.5 13B GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 4K, License: llama2, Quantized, LLM Explorer Score: 0.09.

4-bit Base model:liuhaotian/llava-v1... Base model:quantized:liuhaotia... Gptq Llama Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/llava-v1.5-13B-GPTQ

Llava V1.5 13B GPTQ Parameters and Internals

Model Type

llama

Use Cases

Areas:

research

Applications:

chatbots, large multimodal models

Primary Use Cases:

computer vision, natural language processing, machine learning, AI research

Additional Notes

Quantization performed by TheBloke with GPTQ for varying hardware requirements.

Training Details

Data Sources:

LAION/CC/SBU, BLIP, GPT-generated multimodal instruction-following data, academic-task-oriented VQA data, ShareGPT

Data Volume:

558K filtered image-text pairs, 158K GPT-generated data, 450K VQA data, 40K ShareGPT

Model Architecture:

Auto-regressive, Transformer architecture

LLM Name	Llava V1.5 13B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/llava-v1.5-13B-GPTQ
Model Name	Llava v1.5 13B
Model Creator	Haotian Liu
Base Model(s)	liuhaotian/llava-v1.5-13b liuhaotian/llava-v1.5-13b
Model Size	13b
Required VRAM	7.3 GB
Updated	2026-08-05
Maintainer	TheBloke
Model Type	llama
Model Files	7.3 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0
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 Llava V1.5 13B GPTQ 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

Best Alternatives to Llava V1.5 13B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Yarn Llama 2 13B 128K GPTQ	128K / 7.3 GB	30	16
LongAlign 13B 64K GPTQ	64K / 7.3 GB	5	1
...boros L2 13B 2 1 YaRN 64K GPTQ	64K / 7.3 GB	6	3
Yarn Llama 2 13B 64K GPTQ	64K / 7.3 GB	20	1
OrcaMaid V3 13B 32K GPTQ	32K / 7.3 GB	13	3
OrcaMaid V2 FIX 13B 32K GPTQ	32K / 7.3 GB	12	4
EverythingLM 13B 16K GPTQ	16K / 7.3 GB	70	14
LlongOrca 13B 16K GPT	16K / 7.3 GB	5	0
Tinybra 13B GPTQ 32g 4BIT	16K / 8 GB	3	1
Tinybra 13B GPTQ 4BIT	16K / 7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/llava-v1.5-13B-GPTQ.