mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-08-21 06:15:18 +00:00
mirror of https://github.com/LostRuins/koboldcpp
4dee52f82d
* ui: split the markdown rendering setting per surface User content and thinking get their own toggle again, so turning off markdown for a message leaves reasoning blocks formatted. Both default to markdown. A stored renderContentAsRawText unfolds onto the user key and is dropped from the config. File mentions render as badges in the raw text path too, through a narrow pass over [name](file://path) that leaves everything else untouched. * ui: let the rich chat input scroll past its max height The contenteditable renderer caps its height with max-height but had no overflow rule, so a long buffer overflowed into the input area wrapper and got clipped by its overflow-hidden, leaving no way to reach the bottom of the message. The textarea renderer scrolls natively and was never affected. * ui: apply the new lint and format config * ui: move the render keys unfolding into the migration service Address review from @allozaur: the settings store no longer rewrites persisted config on load, the raw text toggle now unfolds onto the per-surface render keys in migration.service.ts, next to the other config migrations. The mention scanner flag and the directory path suffix become named constants. |
||
|---|---|---|
| .devops | ||
| .gemini | ||
| .github | ||
| .pi/gg | ||
| app | ||
| benches | ||
| ci | ||
| cmake | ||
| common | ||
| conversion | ||
| docs | ||
| examples | ||
| ggml | ||
| gguf-py | ||
| grammars | ||
| include | ||
| licenses | ||
| media | ||
| models | ||
| pocs | ||
| requirements | ||
| scripts | ||
| skills | ||
| src | ||
| tests | ||
| tools | ||
| vendor | ||
| .clang-format | ||
| .clang-tidy | ||
| .dockerignore | ||
| .ecrc | ||
| .editorconfig | ||
| .flake8 | ||
| .gitignore | ||
| .gitmodules | ||
| .pre-commit-config.yaml | ||
| AGENTS.md | ||
| AUTHORS | ||
| build-xcframework.sh | ||
| CLAUDE.md | ||
| CMakeLists.txt | ||
| CMakePresets.json | ||
| CODEOWNERS | ||
| CONTRIBUTING.md | ||
| convert_hf_to_gguf.py | ||
| convert_hf_to_gguf_update.py | ||
| convert_llama_ggml_to_gguf.py | ||
| convert_lora_to_gguf.py | ||
| flake.nix | ||
| LICENSE | ||
| Makefile | ||
| mypy.ini | ||
| pyproject.toml | ||
| pyrightconfig.json | ||
| README.md | ||
| requirements.txt | ||
| SECURITY.md | ||
| ty.toml | ||
llama.cpp
LLM inference in C/C++
manifesto / ggml / ops / maintainer PRs / compile times / lib llama API / llama-server REST API
Quick start
A few options to get llama.cpp installed on your machine:
- Visit https://llama.app and follow the instructions
- Run with Docker - see our Docker documentation
- Download pre-built binaries from the releases page
- Build from source by cloning this repository - check out our build guide
Once installed:
# Download and run a model directly from Hugging Face
llama cli -hf ggml-org/Qwen3.5-0.8B-GGUF
# Launch OpenAI-compatible API server
llama serve -hf ggml-org/Qwen3.5-0.8B-GGUF
|
|
|
Description
The main goal of llama.cpp is to enable LLM (and VLM) inference with minimal setup and state-of-the-art performance on
a wide range of hardware - locally and in the cloud.
- Plain C/C++ implementation without any dependencies
- Apple silicon is a first-class citizen - optimized via ARM NEON, Accelerate and Metal frameworks
- AVX, AVX2, AVX512 and AMX support for x86 architectures
- RVV, ZVFH, ZFH, ZICBOP and ZIHINTPAUSE support for RISC-V architectures
- 1.5-bit, 2-bit, 3-bit, 4-bit, 5-bit, 6-bit, and 8-bit integer quantization for faster inference and reduced memory use
- Custom CUDA kernels for running LLMs on NVIDIA GPUs (support for AMD GPUs via HIP and Moore Threads GPUs via MUSA)
- Vulkan and SYCL backend support
- CPU+GPU hybrid inference to partially accelerate models larger than the total VRAM capacity
The llama.cpp project is build on top of the ggml library.
Supported backends
| Backend | Target devices |
|---|---|
| BLAS | All |
| BLIS | All |
| CANN | Ascend NPU |
| CUDA | Nvidia GPU |
| HIP | AMD GPU |
| Hexagon [In Progress] | Snapdragon |
| IBM zDNN | IBM Z & LinuxONE |
| MUSA | Moore Threads GPU |
| Metal | Apple Silicon |
| OpenCL | Adreno GPU |
| OpenVINO [In Progress] | Intel CPUs, GPUs, and NPUs |
| RPC | All |
| SYCL | Intel GPU |
| VirtGPU | VirtGPU APIR |
| Vulkan | GPU |
| WebGPU | All |
| ZenDNN | AMD CPU |
Documentation
Tools
Development
- How to build
- Running on Docker
- Build on Android
- Multi-GPU usage
- Performance troubleshooting
- GGML tips & tricks
- XCFramework
- Completions
- Models
Contributing
- Contributors can open PRs
- Collaborators will be invited based on contributions
- Maintainers can push to branches in the
llama.cpprepo and merge PRs into themasterbranch - Any help with managing issues, PRs and projects is very appreciated!
- Read the CONTRIBUTING.md for more information
Acknowledgements
- yhirose/cpp-httplib - Single-header HTTP server, used by
llama-server- MIT license - stb-image - Single-header image format decoder, used by multimodal subsystem - Public domain
- nlohmann/json - Single-header JSON library, used by various tools/examples - MIT License
- miniaudio.h - Single-header audio format decoder, used by multimodal subsystem - Public domain
- subprocess.h - Single-header process launching solution for C and C++ - Public domain