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* server : extend file_glob_search for UI pickers * ui : add per-conversation working directory with picker * ui : add path navigation and search scope to cwd picker Treat path-like queries (starting with / or ~) as directory navigation instead of glob-matching the whole query: search the parent for the last segment, and descend into an exactly-typed directory by listing its children. Show the effective search scope in the footer and auto-search on open so the current directory and its siblings appear immediately. Assisted-by: Claude * db : persist per-call tool cwd on tool result messages * ui : abbreviate tool paths under home with a tilde * ui : show the per-call cwd on exec shell rows * ui : clarify the synthetic cwd message for the model * ui : reuse the trailing cwd row on a repeated pick * ui : don't jump when a cwd row is injected mid-chat * chore: Formatting * refactor: Cleanup comments * ui : unify working directory naming and add a synthetic-message flag * ui : render synthetic cwd rows without a scroll jump * ui : decouple the working directory picker into utils and sub-components * ui : add get_info tool call block * chore: Formatting * refactor: Cleanup * refactor: Cleanup * refactor: Cleanup * fix: UI * server : harden file_glob_search listing (kind enum, timeout, symlink guard, absolute base) * ui : use persisted isSynthetic flag for cwd rows, drop legacy formats * ui : cache picker search, fail visibly on native resolve * ui : escape glob metacharacters in picker search glob * ui : simplify auto-scroll pin * chore: Format * fix: Use `SvelteMap` * refactor: Post-review fixes * ui: accept Windows roots in the working directory picker recognize a drive root (C:) and a UNC share (//host/share) as path navigation, alongside the POSIX root and ~, so a query like D:\repos lists that directory instead of glob-matching it under the home dir split below the root, so a bare drive resolves to its root rather than to a drive-relative prefix rewrite backslashes into forward slashes only when the query carries a Windows root, since a backslash is a legal POSIX filename character paths keep travelling with forward slashes, which is what the server returns and what Windows accepts --------- Co-authored-by: Pascal <admin@serveurperso.com> |
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llama.cpp
LLM inference in C/C++
manifesto / ggml / ops / maintainer PRs / dev branches / 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
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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