Unsloth AI· @UnslothAI · X·· 2026-08-10精选AI 评分72
AI 导读
Meta 开源 30B 参数密集模型 Muse Glimmer，Apache 2.0 许可，支持视觉，可在 18GB RAM/VRAM 环境本地运行，定位于本地智能体与编码工作流。
推荐理由
Meta 开源 30B 密集视觉模型，18GB 内存可本地运行，作者还提供了 GGUF 和运行训练指南，方便直接上手。
正文 · 原文
Meta releases Muse Glimmer, a new 30B open model that runs on 18GB RAM.
Muse Glimmer is Apache 2.0 licensed, supports vision and is the strongest agentic model for its size.
Run and train the model via Unsloth.
GGUF: https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF
Guide: https://unsloth.ai/docs/models/muse-glimmer
Today we're also opening the weights for Muse Glimmer, a great 30B parameter dense model that can run locally. Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model. Meta is a strong supporter of open source and I'm proud of these releases. Congrats to @alexandr_wang and the MSL team for all your great work on these models.在 X 查看被引用的帖子
来源：Unsloth AI · x.com