---

base_model: UncannyEcho/Aura-Large-v2.0-BF16

datasets:

• UncannyEcho/AuraAblation
• UncannyEcho/AuraPersonality

language:

• en

library_name: gguf

license: apache-2.0

pipeline_tag: image-text-to-text

tags:

• gguf
• qwen3_8
• conversational

---

Aura Large v2.0 GGUF — Quantized Local Inference

> 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.

Highlights

• Parameters: 27 billion
• Architecture: Dense multimodal language model
• Foundation: Qwen/Qwen3.8-27B
• Source Model: UncannyEcho/Aura-Large-v2.0-BF16
• Format: GGUF
• Runtime: llama.cpp and compatible GGUF runtimes
• Datasets: AuraPersonality and AuraAblation100
• Native Context: 262,144 tokens
• Modalities: Text, image, and video
• Thinking: Configurable thinking and non-thinking modes
• Deployment: Local GPUs, unified-memory systems, and CPU/GPU hybrid inference

Quantizations

This repository contains multiple quantizations intended to cover different memory and quality requirements.

• F16 — Maximum GGUF fidelity
• Q8_0 — Very high fidelity with reduced memory use
• Q6_K — High-quality quantization
• Q5_K_M — Strong quality/size balance
• Q4_K_M — Recommended general-purpose quantization
• Q3_K_M — Lower-memory deployment

A separate multimodal projector is provided for image and video input where supported by the runtime.

About Aura

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:

• Natural conversation
• Creative writing
• Role-playing
• Reasoning
• Coding
• Instruction following
• Agentic workflows
• Tool use
• Image understanding
• Video understanding
• Long-context tasks
• Evaluation and research

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.

llama.cpp

With a recent build of llama.cpp:

llama-server \
  -hf UncannyEcho/Aura-Large-v2.0-GGUF:Q4_K_M