Aura-Large-v2.0-BF16

Aura Large v2.0 BF16 — High-Fidelity Transformers

The high-fidelity 27B Aura release for Transformers inference, evaluation, research, and local deployment.

Aura Large v2.0 BF16 is the full-precision merged edition of Aura Large v2.0. It is derived from Qwen's Qwen3.8-27B checkpoint and combines the Aura personality and ablation adaptations into one model.

This release brings the Aura training approach to Qwen3.8, providing a substantially stronger foundation for conversation, creative work, reasoning, coding, agentic tasks, and multimodal understanding while retaining the behavioral changes introduced by Aura.

This release is intended for Transformers-based inference, evaluation, further research, and deployment on systems with sufficient memory.

Highlights

• Parameters: 27 billion
• Architecture: Dense multimodal language model
• Precision: BFloat16
• Foundation: Qwen/Qwen3.8-27B
• Datasets: AuraPersonality and AuraAblation
• Runtime: Hugging Face Transformers
• Native Context: 262,144 tokens
• Modalities: Text, image, and video
• Thinking: Configurable thinking and non-thinking modes
• Deployment: Local GPU workstations and servers
• Focus: Natural conversation, instruction following, creative work, reasoning, coding, agentic tasks, evaluation, and research

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.