What are the hardware requirements for Llava 1.5 Image Classification V3?

Llava 1.5 Image Classification V3 requires approximately 23.3 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 1.5 Image Classification V3 and how large is it?

Llava 1.5 Image Classification V3 is developed by Vishal24, a model with 7b 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 1.5 Image Classification V3?

Llava 1.5 Image Classification V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llava 1.5 Image Classification V3 by Vishal24 — VRAM 23.3GB, 4K context

Name: Llava 1.5 Image Classification V3
Author: Vishal24

Llava 1.5 Image Classification V3 is an open-source language model by Vishal24. Features: 7b LLM, VRAM: 23.3GB, Context: 4K, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Endpoints compatible Llava llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vishal24/llava_1.5_image_classification_v3

Llava 1.5 Image Classification V3 Parameters and Internals

LLM Name	Llava 1.5 Image Classification V3
Repository 🤗	https://huggingface.co/Vishal24/llava_1.5_image_classification_v3
Model Size	7b
Required VRAM	23.3 GB
Updated	2026-07-14
Maintainer	Vishal24
Model Type	llava_llama
Model Files	4.9 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 3.6 GB: 5-of-5
Model Architecture	LlavaLlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Llava 1.5 Image Classification V3 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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KoLLaVA V1.5 Synatra 7B	32K / 15.1 GB	13	8
Llava V1.5 7B	4K / 13.5 GB	219094	557
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Vlm Rlaif Video Llava 7b	4K / 14.2 GB	6	0
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Llava V1.5 7B M3	4K / 14.1 GB	93	2
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Note: green Score (e.g. "73.2") means that the model is better than Vishal24/llava_1.5_image_classification_v3.