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> [!NOTE] > This repository contains the GGUF files of Raon-1 mini preview for llama.cpp. > > The GGUF files were converted from the BF16 weights of the same checkpoint. The main repository stores the routed experts in MXFP8. Q6_K and smaller were quantized with an importance matrix (imatrix). Raon-1 mini is a 30B-A4B Mixture-of-Experts (MoE) language model, designed and **trained from scratch** by KRAFTON AI. It demonstrates **strong capabilities in Korean conversation and agentic tasks**. As part of the Raon open model family, it is released under the **Apache 2.0 license**. > [!TIP] > Want to try Raon-1 mini without setting anything up? > Chat with it for free, for a limited time, in the Raon-1 mini playground.

Text generation
Input Text→ Output Text
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基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending
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Raon-SpeechChat-9B is a **full-duplex** speech language model that enables real-time, simultaneous listen-and-speak conversation in English. Built on top of Raon-Speech-9B, it extends the base model with full-duplex decoding — the model can listen to a user and generate speech responses at the same time, supporting natural turn-taking, backchannels ("uh-huh", "mm-hmm"), and barge-in handling. Raon-SpeechChat performs strongly on conversational speech capabilities such as pause handling, backchanneling, smooth turn-taking, interruption handling, overlap robustness, and multi-turn dialogue. > **Prerequisites:** NVIDIA GPU with CUDA 12.x (16 GB+ VRAM), Docker, NVIDIA Container Toolkit, and Node.js 18+.

Audio processing
Input Audio→ Output Audio
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