Releases: Yanichar/llama.cpp-cuda
Release list
llama.cpp v0.5.0 with CUDA
llama.cpp v0.5.0 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/v0.5.0
Commit: d2e5458
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-v0.5.0-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-v0.5.0-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp v0.4.1 with CUDA
llama.cpp v0.4.1 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/v0.4.1
Commit: 391fac1
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-v0.4.1-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-v0.4.1-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp v0.4.0 with CUDA
llama.cpp v0.4.0 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/v0.4.0
Commit: 427291b
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-v0.4.0-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-v0.4.0-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp v0.3.0 with CUDA
llama.cpp v0.3.0 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/v0.3.0
Commit: c1d0e7a
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-v0.3.0-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-v0.3.0-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp v0.2.0 with CUDA
llama.cpp v0.2.0 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/v0.2.0
Commit: 5a32f7b
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-v0.2.0-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-v0.2.0-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp b10531 with CUDA
llama.cpp b10531 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/b10531
Commit: f20395d
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-b10531-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-b10531-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp b10502 with CUDA
llama.cpp b10502 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/b10502
Commit: 0adcc3b
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-b10502-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-b10502-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp b10488 with CUDA
llama.cpp b10488 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/b10488
Commit: 9d77fa1
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-b10488-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-b10488-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp b10472 with CUDA
llama.cpp b10472 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/b10472
Commit: 60eeeb6
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-b10472-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-b10472-cuda-12.8-arm64.tar.gz
./llama-cli --helpllama.cpp b10453 with CUDA
llama.cpp b10453 with CUDA Support
Pre-built binaries of llama.cpp with CUDA support for multiple CUDA versions.
Source: https://github.com/ggml-org/llama.cpp/releases/tag/b10453
Commit: 3cb7ffb
CUDA Versions
- CUDA 12.8 - GPU compute capability: 6.1
Host architectures
Tarballs are published per host CPU architecture (Linux):
-amd64.tar.gz— x86_64 (most desktops, servers, cloud VMs)-arm64.tar.gz— aarch64 (Grace Hopper / Grace Blackwell / DGX Spark / Ampere Altra)
GPU compute capability reference
- 6.1: Titan XP, Tesla P40, GTX 10xx (Pascal)
Usage
Download the tarball matching your host CPU arch and CUDA version, then extract:
# amd64 host
tar -xzf llama.cpp-b10453-cuda-12.8-amd64.tar.gz
# arm64 host (e.g. Grace Blackwell)
tar -xzf llama.cpp-b10453-cuda-12.8-arm64.tar.gz
./llama-cli --help