lmstudio-ai / lmstudio-ai/lmstudio-bug-tracker
LM Studio无法加载向量模型gguf找不到 / Bug: "No LM Runtime found for model format 'gguf'" after upgrading to v0.4.x
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Description
After upgrading LM Studio to the latest v0.4.x version, loading any GGUF model triggers the error: `No LM Runtime found for model format 'gguf'`.
In the older v0.3.x versions, the `llama.cpp` runtime engine was built-in. However, in the new v0.4.x architecture, the Runtimes have been decoupled into independent extension packs. After the upgrade, **all Runtimes default to an uninstalled state (empty status with blue "Download" buttons)**. Users who are used to the old UI might not notice this change and think their software or GPU is broken because there is no onboarding guide.
🛠️ How to Fix:
1. Press **`Ctrl + Shift + R`** (or go to Settings -> System -> Runtime).
2. Locate **`CUDA 12 llama.cpp (Windows)`** (or CPU/Vulkan depending on your hardware).
3. Click the blue **`Download`** button to install the runtime engine.
4. Restart LM Studio and reload the GGUF model.
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**[中文原贴说明 / Chinese Explanation]**
LM Studio无法加载向量模型gguf找不到
解决办法已出
问题页图1
老版本解决方案图2(0.3.x)
但显然很多人完全不知道图2是什么鬼,因为版本大更新(26年1月份),UI界面大改🤯
现在是图3的界面(版本0.4.13)
解决方法需要按照图4
Ctrl+Shift + R,打开隐藏页面选项,然后找到你需要的显卡,加速驱动,进行下载就行
(Ps:我感觉特别逆天啊!😭LM没有新手指导吗……???这么点步骤,我问了无数,也查了无数网站,才发现是这么一个离谱的小问题…… 🥴🥴🥴)
费时两个通宵找到解决,如果帮到你,麻烦点赞支持一下安慰我受伤的心灵🥺🥺
### 💻 Environment (我的环境配置)
- **LM Studio Version:** v0.4.13 (Latest)
- **OS:** Windows 11
- **Hardware:** AMD Ryzen 9 + NVIDIA GeForce RTX Series
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The report describes LM Studio v0.4.x runtime installation and GGUF loading on Windows, but names no repository files, tests, or entry points. First inspect the runtime settings and onboarding flows, then determine the intended product change; done should make the required runtime installation discoverable and allow a GGUF model to load without guesswork.
Written by the indexing model from the issue text.
Assessment
- Domain
- ai, desktop
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100