--- base_model: upstage/Solar-Open-100B base_model_relation: quantized language: - en - ko library_name: gguf license: other license_name: solar-apache-2.0 license_link: https://huggingface.co/upstage/Solar-Open-100B/blob/main/LICENSE pipeline_tag: text-generation tags: - text-generation-inference - upstage - solar - moe - 100b - gguf --- # Solar-Open-100B-GGUF

Solar Open Model

## Description This repository contains **GGUF** format model files for [Upstage's Solar-Open-100B](https://huggingface.co/upstage/Solar-Open-100B). **Solar Open** is a massive **102B-parameter** Mixture-of-Experts (MoE) model trained from scratch on **19.7 trillion tokens**. Despite its large total size, it uses only **12B active parameters** during inference, offering a unique combination of massive knowledge capacity and efficient generation speed. *Note: Please check the specific file sizes in the "Files and versions" tab.* ## How to Run (llama.cpp) **Recommended Parameters:** Upstage recommends the following sampling parameters for Solar Open: * **Temperature:** `0.8` * **Top-P:** `0.95` * **Top-K:** `50` ### CLI Example ```bash ./llama-cli -m Solar-Open-100B.Q4_K_M.gguf \ -c 8192 \ --temp 0.8 \ --top-p 0.95 \ --top-k 50 \ -p "User: Who are you?\nAssistant:" \ -cnv ``` ### Server Example ```bash ./llama-server -m Solar-Open-100B.Q4_K_M.gguf \ --port 8080 \ --host 0.0.0.0 \ -c 8192 \ -ngl 99 ``` ## License The model weights are licensed under the **Solar-Apache License 2.0**. Please review the full license terms here: [LICENSE](https://huggingface.co/upstage/Solar-Open-100B/blob/main/LICENSE) ## Citation If you use Solar Open in your research, please cite: ```bibtex @misc{solar-open-2025, title={Solar Open: Scaling Upstage's LLM Capabilities with MoE}, author={Upstage AI}, year={2025}, url={https://huggingface.co/Upstage/Solar-Open-100B} } ```