Microsoft: LLaVA-1.5

LLaVA-1.5 Overview

LLaVA-1.5 is an open-source large multimodal model released in October 2023 by researchers at the University of Wisconsin-Madison and Microsoft Research. It builds on the original LLaVA architecture by introducing targeted refinements: switching the vision encoder to CLIP-ViT-L at 336-pixel resolution, replacing the projection layer with a two-layer MLP, and adding academic-task-oriented visual question answering data with response formatting prompts during training. These modifications achieve state-of-the-art performance across 11 benchmarks at release, with training completing in approximately one day on a single 8-A100 node.

The model accepts an image paired with a text prompt and generates natural language responses, supporting visual question answering, image captioning, and open-ended visual conversation. LLaVA-1.5 is available in 7B and 13B parameter variants built on the Vicuna language model, and is distributed under the Llama 2 Community License due to its Llama-2-based foundation. The original LLaVA paper was presented as an oral at NeurIPS 2023. Subsequent releases in the series (LLaVA-NeXT (LLaVA-1.6), LLaVA-NeXT-Video, and LLaVA-OneVision) are separate models with their own release pages and build on this foundation with expanded OCR, video, and multi-image capabilities.

LLaVA-1.5 Details & Performance

Details

Resources

Vision Tasks

Vision LanguageVisual Question Answering

Features

Multimodal VisionLLMs with Vision Capabilities

Usage

Past 30 Days

Not available

Not in Playground

Performance

Avg. Latency

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LLaVA-1.5 License

Custom License · Model-specific license

LLaVA-1.5 ships under a custom, model-specific license rather than a standard permissive or restrictive one, so the LLaVA-1.5 license has to be read directly. Custom model licenses range from effectively permissive to research-only.

Commercial use: Varies. Custom model licenses commonly restrict commercial use, cap monthly active users, or carve out specific industries — check the LLaVA-1.5 terms before you build on it.
Modification: Usually permitted for fine-tuning, but check whether derivative weights inherit the same license and naming requirements.
Redistribution: Often restricted. Look for attribution, naming, and acceptable-use requirements that apply to any copy you share.

Uncertainty around licensing can delay or stop a project, and acceptable-use policies attached to custom licenses are binding terms rather than guidance. Review them alongside the LLaVA-1.5 license before production deployment.

Do I need a commercial license for LLaVA-1.5?

If the custom terms rule out your use case, a commercial license from the rights holder is the way through. Roboflow's licensing page lists the supported models whose commercial license is included in a Roboflow plan, so it is worth checking whether LLaVA-1.5 — or a permissively licensed alternative — fits your deployment.

Do not hesitate to reach out with questions for your commercial project — our team will help you start solving business problems on the first call. See Roboflow commercial licensing for the models included in each plan.

This model is released under a custom license that does not match a standard open-source identifier. Read the full license text linked from the model documentation.

Custom licenses vary widely in what they permit. Many model-specific custom licenses include commercial-use restrictions (e.g., non-commercial weights, named-user limits, or jurisdiction restrictions). Read the full license before deploying commercially.

Custom licenses are model-specific. Always check the per-model License Notes section above and the linked official license text.

License information is provided as a guide and is not legal advice.