Florence-2 Alternatives

Explore alternatives to the Florence-2 multimodal model.

Deploy select models (i.e. YOLOv8, CLIP) using the Roboflow Hosted API, or your own hardware using Roboflow Inference.

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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.

Multimodal Model

Deploy with Roboflow

GPT-4o

GPT-4o is OpenAI’s third major iteration of GPT-4 expanding on the capabilities of GPT-4 with Vision

Multimodal Model

Deploy with Roboflow

CogVLM

CogVLM shows strong performance in Visual Question Answering (VQA) and other vision tasks.

Multimodal Model

Deploy with Roboflow

QwenVL

Qwen-VL is an LMM developed by Alibaba Cloud. Qwen-VL accepts images, text, and bounding boxes as inputs. The model can output text and bounding boxes. Qwen-VL naturally supports English, Chinese, and multilingual conversation.

Multimodal Model

Deploy with Roboflow

BakLLaVA

BakLLaVA is an LMM developed by LAION, Ontocord, and Skunkworks AI. BakLLaVA uses a Mistral 7B base augmented with the LLaVA 1.5 architecture.

Multimodal Model

Deploy with Roboflow

Anthropic Claude 3

Multimodal Model

Deploy with Roboflow

Google Gemini

Gemini is a family of Large Multimodal Models (LMMs) developed by Google Deepmind focused specifically on multimodality.

Multimodal Model

Deploy with Roboflow

Phi-3.5

Multimodal Model

Deploy with Roboflow

Visual Question Answering

Image Similarity

Image Captioning

Zero-shot Detection

Real-Time Vision

Image Embedding

LLMS with Vision Capabilities

Multimodal Vision

Foundation Vision