rhymes-ai/Aria

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1087 stars · 89 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Aria is an open multimodal native Mixture-of-Experts (MoE) model with 25.3B total parameters (3.9B activated per token) and a 64K multimodal context window. This repository provides the inference and fine-tuning codebase, with model weights hosted on Hugging Face.

Use cases

• run inference on a multimodal vision-language model
• understand documents and videos with an LLM
• fine-tune a mixture-of-experts model cheaply
• build a chatbot that handles images and text
• process long multimodal contexts up to 64K tokens
• compare open MoE models for multimodal tasks

When to choose

• you need strong video and document understanding in an open model
• you want fast inference via sparse MoE activation
• you have an A100-class GPU and want a single-GPU multimodal model
• you want Apache-2.0 licensed weights and fine-tuning code

When to avoid

• you only have consumer GPUs with limited VRAM
• you need text-only language modeling at minimal cost
• you want a fully managed API rather than self-hosted weights

Facets

library · maturity active

machine-learning deep-learning llm-inference llm-training nlp image-processing video-processing large-language-models deep-learning machine-learning computer-vision python mixture-of-experts multimodal vision-language-model open-weights fine-tuning transformers natural-language-processing gpu linux

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