Solar-Open-100B

모델 소개

**Solar Open** is Upstage's flagship **102B-parameter** large language model, trained **entirely from scratch** and released under the **Upstage Solar License** (see LICENSE for details). As a **Mixture-of-Experts (MoE)** architecture, it delivers enterprise-grade performance in reasoning, instruction-following, and agentic capabilities—all while prioritizing transparency and customization for the open-source community. * **MoE Architecture (102B / 12B):** Built on a Mixture-of-Experts architecture with **102B total / 12B active parameters**. This design delivers the knowledge depth of a massive model with the inference speed and cost-efficiency of a much smaller model. * **Massive Training Scale:** Pre-trained on **19.7 trillion tokens**, ensuring broad knowledge coverage and robust reasoning capabilities across various domains. * **Quantized Version Available:** An official INT4 quantized model is provided by NotaAI and available at `nota-ai/Solar-Open-100B-NotaMoEQuant-Int4`. * **Model Name:** Solar Open 100B * **Hugging Face ID:** `Upstage/Solar-Open-100B` * **Architecture:** Mixture-of-Experts (MoE) * **Total Parameters:** 102.6B * **Active Parameters:** 12B (per token) * **Experts:** 129 Experts (top 8 among 128 Routed + 1 Shared) * **Pre-training Tokens:** 19.7 Trillion * **Context Length:** 128k * **Training Hardware:** NVIDIA B200 GPUs * **License:** **Upstage Solar License** (See LICENSE) * **Hardware Requirements:** * **Minimum:** 4x NVIDIA A100 (80GB)

주요 특징

特点摘要待依据来源补齐，不凭模型名称推断能力。

한계 및 유의 사항

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출처별 요금 및 비용 분석

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공개 평가 및 실행 설정

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출처 및 추적 기록

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