Model overview
> [!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.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。