S
S
Home / Models / LLaVA-NeXT

LLaVA-NeXT

by LLaVA Team

8.7
KYI Score

Next generation LLaVA with improved visual reasoning.

MULTIMODALApache 2.0FREE34B
Official WebsiteHugging Face

Quick Facts

Model Size
34B
Context Length
4K tokens
Release Date
May 2024
License
Apache 2.0
Provider
LLaVA Team
KYI Score
8.7/10

Best For

→Visual analysis
→Complex reasoning
→Image Q&A
→Research

Performance Metrics

Speed

7/10

Quality

9/10

Cost Efficiency

9/10

Specifications

Parameters
34B
Context Length
4K tokens
License
Apache 2.0
Pricing
free
Release Date
May 10, 2024
Category
multimodal

Key Features

Strong visual reasoningHigh resolutionImproved understanding

Pros & Cons

Pros

  • ✓Excellent visual reasoning
  • ✓Apache 2.0
  • ✓High quality

Cons

  • !Resource intensive
  • !Newer model
  • !Complex setup

Ideal Use Cases

Visual analysis

Complex reasoning

Image Q&A

Research

LLaVA-NeXT FAQ

What is LLaVA-NeXT best used for?

LLaVA-NeXT excels at Visual analysis, Complex reasoning, Image Q&A. Excellent visual reasoning, making it ideal for production applications requiring multimodal capabilities.

How does LLaVA-NeXT compare to other models?

LLaVA-NeXT has a KYI score of 8.7/10, with 34B parameters. It offers excellent visual reasoning and apache 2.0. Check our comparison pages for detailed benchmarks.

What are the system requirements for LLaVA-NeXT?

LLaVA-NeXT with 34B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 4K tokens.

Is LLaVA-NeXT free to use?

Yes, LLaVA-NeXT is free and licensed under Apache 2.0. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

Related Models

LLaVA 1.6

8.4/10

Vision-language model combining visual understanding with language generation.

multimodal34B

CogVLM

8.3/10

Powerful vision-language model with strong visual grounding.

multimodal17B

Qwen-VL

8.2/10

Multilingual vision-language model with strong Chinese support.

multimodal9.6B