RUNTIME / EASY
KoboldCpp
One-file GGUF chat on Windows, macOS or Linux with no Python install
1차 출처DifficultyEasySetup profile
Platforms5cpu · nvidia · amd · intel · apple
APIOpenAI + Ollama + KoboldCpp-compatible:5001
01 / INSTALL & RUN
Installation depends on your OS. These commands are examples or templates: replace placeholders and verify quantization, file format, drivers and runtime support. Memory fit does not guarantee deployment.
- 1Install
Download the single-file release binary from the official GitHub releases (koboldcpp.exe on Windows) - 2Start a model
koboldcpp --model <downloaded-model.gguf> --usecuda - 3Connect your app
OpenAI + Ollama + KoboldCpp-compatible · :5001. Keep the service bound to localhost unless you add authentication and network controls.
주의
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
대표 오픈 웨이트 모델
Alibaba Qwen
Qwen3.6 27B
27BQ4 / NVFP4 estimate
- 추정 메모리
- ~18.5 GB
- 컨텍스트
- 262K native
Alibaba Qwen
Qwen3.8 27B
27BQ4 estimate
- 추정 메모리
- ~19.5 GB
- 컨텍스트
- 262K native
Alibaba Qwen
Qwen3.6 35B-A3B
35B3B active · Q4 / NVFP4 MoE
- 추정 메모리
- ~25 GB
- 컨텍스트
- 262K native
DeepSeek
DeepSeek V4 Flash
284B13B active · Official FP4 + FP8 mixed
- 추정 메모리
- ~176 GB
- 컨텍스트
- 1M native
Google
Gemma 3 1B
1BINT4 / GGUF Q4
- 추정 메모리
- ~1.4 GB
- 컨텍스트
- 32K
Meta
Llama 3.2 3B
3BGGUF Q4
- 추정 메모리
- ~2.8 GB
- 컨텍스트
- 128K