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Rex Omni by IDEA-Research

By IDEA-Research · 14657 downloads

Rex Omni is an open-source language model by IDEA-Research. Features: 3b LLM, VRAM: 8.1GB, Context: 125K, License: other, Instruction-Based, LLM Explorer Score: 0.26.

  Arxiv:2311.13596   Arxiv:2405.10300   Arxiv:2411.14347   Arxiv:2411.18363   Arxiv:2503.08507   Arxiv:2506.04034   Arxiv:2510.12798 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-vl-3b-...   Conversational   En   Endpoints compatible   Image-text-to-text   Instruct   Keypoint-detection   Multimodal   Object-detection   Object-pointing   Ocr   Open-set-detection   Qwen2 5 vl   Region:us   Safetensors   Sharded   Tensorflow   Vision   Visual-prompting
Model Card on HF πŸ€—: https://huggingface.co/IDEA-Research/Rex-Omni 

Rex Omni Parameters and Internals

LLM NameRex Omni
Repository πŸ€—https://huggingface.co/IDEA-Research/Rex-Omni 
Base Model(s)  Qwen/Qwen2.5-VL-3B-Instruct   Qwen/Qwen2.5-VL-3B-Instruct
Model Size3b
Required VRAM8.1 GB
Updated2026-10-19
MaintainerIDEA-Research
Model Typeqwen2_5_vl
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2_5_VLForConditionalGeneration
Licenseother
Context Length128000
Model Max Length128000
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than IDEA-Research/Rex-Omni.