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UncannyEcho/Aura-Large-v2.0-GGUF
Aura-Large-v2.0-GGUF is a image-text-to-text model from UncannyEcho. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
GGUF builds of Aura Large v2.0 for llama.cpp and compatible local inference runtimes.
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From the Hugging Face model README
GGUF builds of Aura Large v2.0 for llama.cpp and compatible local inference runtimes.
Aura Large v2.0 GGUF is the quantized local-inference edition of Aura Large v2.0 BF16, derived from Qwen/Qwen3.8-27B and adapted using the Aura personality and ablation datasets.
This repository provides multiple GGUF quantizations for deployment across consumer GPUs, unified-memory systems, and CPU/GPU hybrid configurations while retaining the capabilities and behavior of the BF16 release.
This repository contains multiple quantizations intended to cover different memory and quality requirements.
A separate multimodal projector is provided for image and video input where supported by the runtime.
Aura is designed for local deployment across a wide range of tasks. Aura can serve as a companion or friend, as deemed appropriate by the user, while retaining the broader capabilities of Qwen3.8 for:
Aura Large v2.0 represents the larger general-purpose branch of the Aura model family, combining the Aura personality and behavioral adaptations with Qwen3.8's dense 27B multimodal foundation.
With a recent build of llama.cpp:
llama-server \
-hf UncannyEcho/Aura-Large-v2.0-GGUF:Q4_K_M