返回指南
RUNTIME / EASY

KoboldCpp

One-file GGUF chat on Windows, macOS or Linux with no Python install

一手来源
DifficultyEasySetup profile
Platforms5cpu · nvidia · amd · intel · apple
APIOpenAI + Ollama + KoboldCpp-compatible:5001
01 / INSTALL & RUN

安装方式取决于操作系统。以下命令是示例或模板,请先替换占位符并核对量化版本、文件格式、驱动和运行时支持;内存适配不保证部署成功。

  1. 1
    InstallDownload the single-file release binary from the official GitHub releases (koboldcpp.exe on Windows)
  2. 2
    Start a modelkoboldcpp --model <downloaded-model.gguf> --usecuda
  3. 3
    Connect your app

    OpenAI + Ollama + KoboldCpp-compatible · :5001. Keep the service bound to localhost unless you add authentication and network controls.

注意

The project warns that koboldcpp.com is an impersonation, so only GitHub release binaries are official. GPU flags differ by vendor and OS, and you can only use the accelerator libraries the release bundles.

02 / COMPATIBLE MODELS

代表性开放权重模型

Alibaba Qwen

Qwen3.6 27B

27BQ4 / NVFP4 estimate
估算内存
~18.5 GB
上下文
262K native
Alibaba Qwen

Qwen3.8 27B

27BQ4 estimate
估算内存
~19.5 GB
上下文
262K native
Alibaba Qwen

Qwen3.6 35B-A3B

35B3B active · Q4 / NVFP4 MoE
估算内存
~25 GB
上下文
262K native
DeepSeek

DeepSeek V4 Flash

284B13B active · Official FP4 + FP8 mixed
估算内存
~176 GB
上下文
1M native
Google

Gemma 3 1B

1BINT4 / GGUF Q4
估算内存
~1.4 GB
上下文
32K
Meta

Llama 3.2 3B

3BGGUF Q4
估算内存
~2.8 GB
上下文
128K